Add comprehensive tests for config.yaml issue-prefix migration

The GH #209 config.yaml migration lacks test coverage:

Missing tests:
- config.SetIssuePrefix() edge cases (empty file, comments, malformed YAML)
- config.GetIssuePrefix() with various config states
- MigrateConfigToYAML() automatic migration logic
- bd init writing to config.yaml instead of DB
- bd migrate DB→config.yaml migration path

Test scenarios needed:
1. SetIssuePrefix with empty config.yaml
2. SetIssuePrefix with existing config.yaml (preserves other settings)
3. SetIssuePrefix with commented issue-prefix line
4. SetIssuePrefix atomic write (temp file cleanup)
5. GetIssuePrefix fallback behavior
6. MigrateConfigToYAML when config.yaml missing prefix but DB has it
7. MigrateConfigToYAML when both missing (detect from issues)
8. MigrateConfigToYAML when config.yaml already has prefix (no-op)
9. Integration test: fresh bd init writes to config.yaml only
10. Integration test: upgrade from v0.21 DB migrates to config.yaml

Priority 1 because this is a user-facing migration affecting all users upgrading to v0.22.


Modify EnsureIDs to support parent resurrection

Update internal/storage/sqlite/ids.go:189-202 to call TryResurrectParent before failing on missing parent. Add resurrection mode flag, log resurrected parents for transparency. Maintain backwards compatibility with strict validation mode.


Create backup and restore procedures

Disaster recovery procedures for Agent Mail data.

Acceptance Criteria:
- Automated daily snapshots (GCP persistent disk)
- SQLite backup script
- Git repository backup
- Restore procedure documentation
- Test restore from backup

File: deployment/agent-mail/backup.sh


Add test coverage for internal/autoimport package


Test npm package installation locally

Verify npm package works before publishing:

## Local testing
- Run npm pack in npm/ directory
- Install tarball globally: npm install -g beads-bd-0.21.5.tgz
- Test basic commands:
  - bd --version
  - bd init --quiet --prefix test
  - bd create "Test issue" -p 1 --json
  - bd list --json
  - bd sync

## Test environments
- macOS (darwin-arm64 and darwin-amd64)
- Linux (ubuntu docker container for linux-amd64)
- Windows (optional, if available)

## Validation
- Binary downloads during postinstall
- All bd commands work identically to native
- No permission issues
- Proper error messages on failure


Update daemon commit logic for separate branch

Modify daemon to use worktree for commits when sync.branch configured.

Tasks:
- Update internal/daemon/server_export_import_auto.go
- Detect sync.branch configuration
- Ensure worktree exists before commit
- Sync JSONL to worktree
- Commit in worktree context
- Push to configured branch
- Fallback to current behavior if sync.branch not set
- Handle git errors (network, permissions, conflicts)

Estimated effort: 3-4 days


bd sync corrupts issues.jsonl in multi-clone environments

During parallel swarm operations on 2025-11-29, bd sync corrupted the issues database. Commit 93718056 purged all 80 issues from issues.jsonl.

Reproduction:
1. Multiple clones of same repo (polecat swarm)
2. Each clone runs bd sync in parallel
3. One sync overwrites others, resulting in data loss

Even in single-clone scenarios (~/src/beads), running bd sync after git pull seems to nuke the JSONL.

Workaround: Use bd import -i .beads/issues.jsonl --no-git-history instead of bd sync.

Root cause investigation needed. Options:
1. Pessimistic locking (flock)
2. Single point of merge (polecats on ephemeral branches)
3. Beads-level locking (bd sync --lock)


bd validate - Comprehensive health check

Run all validation checks in one command.

Checks:
- Duplicates
- Orphaned dependencies
- Test pollution
- Git conflicts

Supports --fix-all for auto-repair.

Depends on bd-cbed9619.1, bd-0dcea000, bd-31aab707, bd-9826b69a.

Files: cmd/bd/validate.go (new)


Remove Cache Configuration Docs

Remove documentation of deprecated cache env vars


Daemon gets stuck when auto-import blocked by git conflicts

CRITICAL: The daemon enters a corrupt state that breaks RPC commands when auto-import is triggered but git pull fails due to uncommitted changes.

Impact: This is a data integrity and usability issue that could cause users to lose trust in Beads. The daemon silently fails for certain commands while appearing healthy.

Reproduction:
1. Make local changes to issues (creates uncommitted .beads/beads.jsonl)
2. Remote has updates (JSONL newer, triggers auto-import)
3. Daemon tries to pull but fails: 'cannot pull with rebase: You have unstaged changes'
4. Daemon enters bad state - 'bd show' and other commands return EOF
5. 'bd list' still works, daemon process is running, no errors logged

Technical details:
- Auto-import check runs in handleRequest() before processing RPC commands
- When import is blocked, it appears to corrupt daemon state
- Likely: deadlock, unclosed transaction, or storage handle corruption
- Panic recovery (server_lifecycle_conn.go:183) didn't catch anything - not a panic

Required fix:
- Auto-import must not block RPC command execution
- Handle git pull failures gracefully without corrupting state
- Consider: skip auto-import if git is dirty, queue import for later, or use separate goroutine
- Add timeout/circuit breaker for import operations
- Log clear warnings when auto-import is skipped

Without this fix, users in collaborative environments will frequently encounter mysterious EOF errors that require daemon restarts.


Test integration issue

This is a real integration test


Add #nosec G304 comments to JSONL file reads in sync.go

sync.go:610 uses os.ReadFile(jsonlPath) without #nosec comment, inconsistent with other JSONL reads that have '// #nosec G304 - controlled path'.

Add comment for consistency with integrity.go:43 and import.go:316.


Fix TestTwoCloneCollision timeout


Implement bd migrate command

Add bd migrate command to move issues between repos with filtering. Should support: filtering by status/priority/labels, dry-run mode, preserving dependencies, handling source_repo field updates.


Code Review Sweep: thorough

Perform thorough code review sweep based on accumulated activity.

**AI Reasoning:**
Significant code activity with 7608 lines added and 120 files changed indicates substantial modifications. Multiple high-churn areas (cmd/bd, internal/rpc) suggest potential for subtle issues and emerging patterns that warrant review.

**Scope:** thorough
**Target Areas:** cmd/bd, internal/rpc, .beads
**Estimated Files:** 12
**Estimated Cost:** $5

**Task:**
Review files for non-obvious issues that agents miss during focused work:
- Inefficiencies (algorithmic, resource usage)
- Subtle bugs (race conditions, off-by-one, copy-paste)
- Poor patterns (coupling, complexity, duplication)
- Missing best practices (error handling, docs, tests)
- Unnamed anti-patterns

File discovered issues with detailed reasoning and suggestions.


Extract daemon logger functions to daemon_logger.go


Add performance optimization to hasJSONLChanged with mtime fast-path

hasJSONLChanged() reads entire JSONL file to compute SHA256 hash on every check. For large databases (50MB+), this is expensive and called frequently by daemon.

Optimization: Check mtime first as fast-path. Only compute hash if mtime changed. This catches git operations (mtime changes but content doesn't) while avoiding expensive hash computation in common case (mtime unchanged = content unchanged).

Performance impact: 99% of checks will use fast path, only git operations need slow path.


bd import auto-detects wrong prefix from directory name instead of issue IDs

When importing issues.jsonl into a fresh database, 'bd import' prints:

  ✓ Initialized database with prefix 'beads' (detected from issues)

But the issues all have prefix 'bd-' (e.g., bd-03r). It appears to be detecting the prefix from the directory name (.beads/) rather than from the actual issue IDs in the JSONL.

This causes import to fail with:
  validate ID prefix for bd-03r: issue ID 'bd-03r' does not match configured prefix 'beads'

Workaround: Run 'bd config set issue_prefix bd' before import, or use 'bd init --prefix bd'.


cmd/bd tests fail without -short flag (parallel test deadlock)


Issue with labels

This is a description


Publish bd-wasm to npm

Package and publish WASM build to npm. Child of epic bd-44d0.

## Tasks
- [ ] Optimize WASM bundle (compression)
- [ ] Create README for npm package
- [ ] Set up npm publishing workflow
- [ ] Publish v0.1.0-alpha
- [ ] Test installation in clean environment
- [ ] Update beads AGENTS.md with installation instructions

## Package Name
bd-wasm (or @beads/wasm-cli)


Remove obsolete stale.go command (executor tables never implemented)


Update LINTING.md with current baseline

After cleanup, document the remaining acceptable baseline in LINTING.md so we can track regression.


Don't search parent directories for .beads databases

bd currently walks up the directory tree looking for .beads directories, which can find unrelated databases (e.g., ~/.beads). This causes confusing warnings and potential data pollution.

Should either:
1. Stop at git root (don't search above it)
2. Only use explicit BEADS_DB env var or local .beads
3. At minimum, don't search in home directory


Prefix detection treats embedded hyphens as prefix delimiters

The prefix detection logic in bd import incorrectly identifies issues like 'vc-baseline-test' and 'vc-92cl-gate-test' as having different prefixes ('vc-baseline-' and 'vc-92cl-gate-') instead of recognizing them as having the standard 'vc-' prefix with hyphenated suffixes.

This breaks import with error: 'prefix mismatch detected: database uses vc- but found issues with prefixes: [vc-92cl-gate- (1 issues) vc-baseline- (1 issues)]'

The prefix should be determined by the pattern: prefix is everything up to and including the first hyphen. The suffix can contain hyphens without being treated as part of the prefix.

Example problematic IDs:
- vc-baseline-test (detected as prefix: vc-baseline-)
- vc-92cl-gate-test (detected as prefix: vc-92cl-gate-)
- vc-test (correctly detected as prefix: vc-)

Impact: Users cannot use descriptive multi-part IDs without triggering false prefix mismatch errors.


Review multi-repo deletion tracking implementation

Thoroughly review the multi-repo deletion tracking fix (bd-4oob):

Files changed:
- cmd/bd/deletion_tracking.go: Added getMultiRepoJSONLPaths() helper
- cmd/bd/daemon_sync.go: Updated snapshot capture/update logic for multi-repo
- cmd/bd/deletion_tracking_test.go: Added 2 new tests (287 lines)

Review focus areas:
1. Correctness: Does getMultiRepoJSONLPaths() handle all edge cases?
2. Performance: Calling getMultiRepoJSONLPaths() 3x per sync (snapshot capture, merge, base update) - should we cache?
3. Error handling: What if some repos fail snapshot operations but others succeed?
4. Race conditions: Multiple daemons in different repos?
5. Test coverage: Are TestMultiRepoDeletionTracking and TestMultiRepoSnapshotIsolation sufficient?
6. Path handling: Absolute vs relative paths, tilde expansion

This is fresh code - needs careful review before considering deletion tracking production-ready.

Code review completed. Overall assessment: Core deletion tracking logic is sound, but error handling and path handling issues make this not yet production-ready for multi-repo scenarios.

Key findings:

CRITICAL ISSUES (Priority 1):
1. Inconsistent error handling in daemon_sync.go - snapshot/merge fail hard but base update warns. Can leave DB in inconsistent state with no rollback. See bd-sjmr.
2. No path normalization in getMultiRepoJSONLPaths() - tilde expansion, relative paths, duplicates not handled. See bd-iye7.

SHOULD FIX (Priority 2):
3. Missing test coverage for edge cases - empty paths, duplicates, partial failures. See bd-kdoh.
4. Performance - getMultiRepoJSONLPaths() called 3x per sync (minor issue). See bd-we4p.

WHAT WORKS WELL:
- Atomic file operations with PID-based temp files
- Good snapshot isolation between repos
- Race condition protection via exclusive locks
- Solid test coverage for happy path scenarios

VERDICT: Address bd-iye7 and bd-sjmr before considering deletion tracking production-ready for multi-repo mode.

Detailed review notes available in conversation history.


cmd/bd test suite is absurdly slow - 279 tests taking 8+ minutes

# Problem

The cmd/bd test suite is painfully slow:
- **279 tests** in cmd/bd alone
- Full suite takes **8+ minutes** to run
- Even with the 16 slowest integration tests now tagged with `integration` build tag, the remaining tests still take forever

This makes the development loop unusable. We can't wait 8+ minutes every time we want to run tests.

# Root Cause Analysis

## 1. Sheer Volume
279 tests is too many for a single package. Even at 0.1s per test, that's 28 seconds minimum just for cmd/bd.

## 2. Each Test Creates Full Database + Temp Directories
Every test does heavy setup:
- Creates temp directory (`t.TempDir()` or `os.MkdirTemp`)
- Initializes SQLite database
- Sets up git repo in many cases
- Creates full storage layer

Example from the tests:
```go
func setupCLITestDB(t *testing.T) string {
    tmpDir := createTempDirWithCleanup(t)
    runBDInProcess(t, tmpDir, "init", "--prefix", "test", "--quiet")
    return tmpDir
}
```

This happens 279 times!

## 3. Tests Are Not Properly Categorized
We have three types of tests mixed together:
- **Unit tests** - should be fast, test single functions
- **Integration tests** - test full workflows, need DB/git
- **End-to-end tests** - test entire CLI commands

They're all lumped together in cmd/bd, all running every time.

# What We've Already Fixed

Added `integration` build tags to 16 obviously-slow test files:
- import_profile_test.go (performance benchmarking tests)
- export_mtime_test.go (tests with time.Sleep calls)
- cli_fast_test.go (full CLI integration tests)
- delete_test.go, import_uncommitted_test.go, sync_local_only_test.go (git integration)
- And 10 more in internal/ packages

These are now excluded from the default `go test ./...` run.

# Proposed Solutions

## Option 1: Shared Test Fixtures (Quick Win)
Create a shared test database that multiple tests can use:
```go
var testDB *sqlite.SQLiteStorage
var testDBOnce sync.Once

func getSharedTestDB(t *testing.T) storage.Storage {
    testDBOnce.Do(func() {
        // Create one DB for all tests
    })
    return testDB
}
```

**Pros**: Easy to implement, immediate speedup
**Cons**: Tests become less isolated, harder to debug failures

## Option 2: Table-Driven Tests (Medium Win)
Collapse similar tests into table-driven tests:
```go
func TestCreate(t *testing.T) {
    tests := []struct{
        name string
        args []string
        want string
    }{
        {"basic issue", []string{"create", "Test"}, "created"},
        {"with description", []string{"create", "Test", "-d", "desc"}, "created"},
        // ... 50 more cases
    }

    db := setupOnce(t) // Setup once, not 50 times
    for _, tt := range tests {
        t.Run(tt.name, func(t *testing.T) {
            // test using shared db
        })
    }
}
```

**Pros**: Dramatically reduces setup overhead, tests run in parallel
**Cons**: Requires refactoring, tests share more state

## Option 3: Split cmd/bd Tests Into Packages (Big Win)
Move tests into focused packages:
- `cmd/bd/internal/clitests` - CLI integration tests (mark with integration tag)
- `cmd/bd/internal/unittests` - Fast unit tests
- Keep only essential tests in cmd/bd

**Pros**: Clean separation, easy to run just fast tests
**Cons**: Requires significant refactoring

## Option 4: Parallel Execution (Quick Win)
Add `t.Parallel()` to independent tests:
```go
func TestSomething(t *testing.T) {
    t.Parallel() // Run this test concurrently with others
    // ...
}
```

**Pros**: Easy to add, can cut time in half on multi-core machines
**Cons**: Doesn't reduce actual test work, just parallelizes it

## Option 5: In-Memory Databases (Medium Win)
Use `:memory:` SQLite databases instead of file-based:
```go
store, err := sqlite.New(ctx, ":memory:")
```

**Pros**: Faster than disk I/O, easier cleanup
**Cons**: Some tests need actual file-based DBs (export/import tests)

# Recommended Approach

**Short-term (this week)**:
1. Add `t.Parallel()` to all independent tests in cmd/bd
2. Use `:memory:` databases where possible
3. Create table-driven tests for similar test cases

**Medium-term (next sprint)**:
4. Split cmd/bd tests into focused packages
5. Mark more integration tests appropriately

**Long-term (backlog)**:
6. Consider shared test fixtures with proper isolation

# Current Status

We've tagged 16 files with `integration` build tag, but the remaining 279 tests in cmd/bd still take 8+ minutes. This issue tracks fixing the cmd/bd test performance specifically.

# Target

Get `go test ./...` (without `-short` or `-tags=integration`) down to **under 30 seconds**.

# THE REAL ROOT CAUSE (Updated Analysis)

After examining the actual test code, the problem is clear:

## Every Test Creates Its Own Database From Scratch

Look at `create_test.go`:
```go
func TestCreate_BasicIssue(t *testing.T) {
    tmpDir := t.TempDir()                          // ← Creates temp dir
    testDB := filepath.Join(tmpDir, ".beads", "beads.db")
    s := newTestStore(t, testDB)                   // ← Opens NEW SQLite connection
                                                    // ← Runs migrations
                                                    // ← Sets config
    // ... actual test (3 lines)
}

func TestCreate_WithDescription(t *testing.T) {
    tmpDir := t.TempDir()                          // ← Creates ANOTHER temp dir
    testDB := filepath.Join(tmpDir, ".beads", "beads.db")
    s := newTestStore(t, testDB)                   // ← Opens ANOTHER SQLite connection
    // ... actual test (3 lines)
}
```

**This happens 279 times!**

## These Tests Don't Need Isolation!

Most tests are just checking:
- "Can I create an issue with a title?"
- "Can I create an issue with a description?"
- "Can I add labels?"

They don't conflict with each other. They could all share ONE database!

## The Fix: Test Suites with Shared Setup

Instead of:
```go
func TestCreate_BasicIssue(t *testing.T) {
    s := newTestStore(t, t.TempDir()+"/db")  // ← Expensive!
    // test
}

func TestCreate_WithDesc(t *testing.T) {
    s := newTestStore(t, t.TempDir()+"/db")  // ← Expensive!
    // test
}
```

Do this:
```go
func TestCreate(t *testing.T) {
    // ONE setup for all subtests
    s := newTestStore(t, t.TempDir()+"/db")

    t.Run("basic_issue", func(t *testing.T) {
        t.Parallel()  // Can run concurrently - tests don't conflict
        // test using shared `s`
    })

    t.Run("with_description", func(t *testing.T) {
        t.Parallel()
        // test using shared `s`
    })

    // ... 50 more subtests, all using same DB
}
```

**Result**: 50 tests → 1 database setup instead of 50!

## Why This Works

SQLite is fine with concurrent reads and isolated transactions. These tests:
- ✅ Create different issues (no ID conflicts)
- ✅ Just read back what they created
- ✅ Don't depend on database state from other tests

They SHOULD share a database!

## Real Numbers

Current:
- 279 tests × (create dir + init SQLite + migrations) = **8 minutes**

After fix:
- 10 test suites × (create dir + init SQLite + migrations) = **30 seconds**
- 279 subtests running in parallel using those 10 DBs = **5 seconds**

**Total: ~35 seconds instead of 8 minutes!**

## Implementation Plan

1. **Group related tests** into suites (Create, List, Update, Delete, etc.)
2. **One setup per suite** instead of per test
3. **Use t.Run() for subtests** with t.Parallel()
4. **Keep tests that actually need isolation** separate (export/import tests, git operations)

This is way better than shuffling tests into folders!

## Progress Update (2025-11-21)

✅ **Completed**:
- Audited all 280 tests, created TEST_SUITE_AUDIT.md ([deleted:bd-c49])
- Refactored create_test.go to shared DB pattern ([deleted:bd-y6d])
- Proven the pattern works: 11 tests now run in 0.04s with 1 DB instead of 11

❌ **Current Reality**:
- Overall test suite: Still 8+ minutes (no meaningful change)
- Only 1 of 76 test files refactored
- Saved ~10 DB initializations out of 280

## Acceptance Criteria (REALISTIC)

This task is NOT complete until:
- [ ] All P1 files refactored (create ✅, dep, stale, comments, list, ready)
- [ ] Test suite runs in < 2 minutes
- [ ] Measured and verified actual speedup

## Next Steps

1. Refactor remaining 5 P1 files: dep_test.go, stale_test.go, comments_test.go, list_test.go, ready_test.go
2. Measure actual time improvement after each file
3. Continue with P2 files if needed to hit <2min target


bd export should verify JSONL line count matches database count

After export completes, bd should verify that the JSONL file line count matches the number of issues exported. This would catch silent failures where the export appears to succeed but doesn't actually write all issues.

Real-world scenario from VC project:
- Ran direct SQL DELETE to remove 240 issues
- Ran 'bd export -o .beads/issues.jsonl'
- No error shown, appeared to succeed
- But JSONL file was not updated (still had old line count)
- Later session found all 240 issues still in JSONL
- Had to repeat the cleanup

If export had verified line count, it would have immediately shown:
  Error: Export verification failed
    Expected: 276 issues
    JSONL file: 516 lines
    Mismatch indicates export failed to write all issues

This is especially important because:
1. JSONL is source of truth in git
2. Silent export failures cause data inconsistency
3. Users assume export succeeded if no error shown
4. The verification is cheap (just count lines)

Implementation:
- After writing JSONL, count lines in file
- Compare to len(exportedIDs)
- If mismatch, remove temp file and return error
- Show clear error message with both counts


CLI accepts both hash IDs and aliases

Update all CLI commands to accept both hash IDs (bd-af78e9a2) and aliases (#42, or just 42).

## Parsing Logic
```go
// internal/utils/id_parser.go
func ParseIssueID(input string) (issueID string, err error) {
    // Hash ID: bd-af78e9a2
    if strings.HasPrefix(input, "bd-") {
        return input, nil
    }

    // Alias: #42 or 42
    aliasStr := strings.TrimPrefix(input, "#")
    alias, err := strconv.Atoi(aliasStr)
    if err != nil {
        return "", fmt.Errorf("invalid issue ID: %s", input)
    }

    // Resolve alias to hash ID
    return storage.GetIssueIDByAlias(alias)
}
```

## Commands to Update
All commands that accept issue IDs:

### 1. bd show
```bash
bd show bd-af78e9a2        # Hash ID
bd show #42                # Alias
bd show 42                 # Alias (shorthand)
bd show bd-af78e9a2 #42    # Mixed (multiple IDs)
```

### 2. bd update
```bash
bd update #42 --status in_progress
bd update bd-af78e9a2 --priority 1
```

### 3. bd close
```bash
bd close #42 --reason "Done"
```

### 4. bd dep add/tree
```bash
bd dep add #42 #1 --type blocks
bd dep tree bd-af78e9a2
```

### 5. bd label add/remove
```bash
bd label add #42 critical
```

### 6. bd merge
```bash
bd merge #42 #43 --into #41
```

## Display Format
Default to showing aliases in output:
```bash
$ bd list
#1   Fix authentication bug          P1  open
#2   Add logging to daemon           P2  open
#42  Investigate jujutsu integration P3  open
```

With `--format=hash` flag:
```bash
$ bd list --format=hash
bd-af78e9a2  Fix authentication bug          P1  open
bd-e5f6a7b8  Add logging to daemon           P2  open
bd-1a2b3c4d  Investigate jujutsu integration P3  open
```

## Files to Modify
- internal/utils/id_parser.go (new)
- cmd/bd/show.go
- cmd/bd/update.go
- cmd/bd/close.go
- cmd/bd/reopen.go
- cmd/bd/dep.go
- cmd/bd/label.go
- cmd/bd/merge.go
- cmd/bd/list.go (add --format flag)

## Testing
- Test hash ID parsing
- Test alias parsing (#42, 42)
- Test mixed IDs in single command
- Test error on invalid ID
- Test alias resolution failure


Implement auto-merge functionality in duplicates command

The duplicates.go file has a TODO at line 95 to implement the performMerge function for automatic duplicate merging. Currently it just prints a warning message. This would automate the merge process instead of just suggesting commands.


Integration Layer Implementation

Build the adapter layer that makes Agent Mail optional and non-intrusive.

Progress: bd-m9th (Python adapter library) completed with full test coverage. Next: bd-fzbg (update python-agent example with Agent Mail integration).


Batch test 2


Write Agent Mail integration guide

Comprehensive guide for setting up and using Agent Mail with Beads.

Acceptance Criteria:
- Installation instructions
- Configuration (environment variables)
- Architecture diagram
- Benefits and tradeoffs
- When to use vs not use
- Troubleshooting section
- Migration from git-only mode

File: docs/AGENT_MAIL.md

Sections:
- Quick start
- How it works
- Integration points
- Graceful degradation
- Multi-machine deployment
- FAQ


MCP server: "No workspace set" and "chunk longer than limit" errors

Two related errors reported in beads-mcp v0.21:

**Error 1: "No workspace set" after successful set_context**
```
✓ Set beads context
✗ list
  Error calling tool 'list': No workspace set. Either provide workspace_root
  parameter or call set_context() first.
```

Hypothesis: Environment variable persistence issue between MCP tool calls, or ContextVar not being set correctly by @with_workspace decorator.

**Error 2: "Separator is found, but chunk is longer than limit"**
```
✗ list
  Error calling tool 'list': Separator is found, but chunk is longer than limit
```

Hypothesis: MCP protocol output size limit exceeded. Large issue databases may produce JSON output that exceeds MCP stdio buffer limits.

Platform: Fedora 43, using copilot-cli with Sonnet 4.5

Workaround: CLI works fine (`bd list --status open --json`)

## Fixes Implemented

**Issue 1: "No workspace set" after successful set_context** ✅ FIXED

Root cause: os.environ doesn't persist across MCP tool calls. When set_context() set BEADS_WORKING_DIR in os.environ, that change was lost on the next tool call.

Solution:
- Added module-level _workspace_context dict for persistent storage (server.py:51)
- Modified set_context() to store in both persistent dict and os.environ (server.py:265-287)
- Modified with_workspace() decorator to check persistent context first (server.py:129-133)
- Updated where_am_i() to check persistent context (server.py:302-330)

**Issue 2: "chunk longer than limit"** ✅ FIXED

Root cause: MCP stdio protocol has buffer limits. Large issue lists with full dependencies/dependents exceed this.

Solution:
- Reduced default list limit from 50 to 20 (server.py:356, models.py:122)
- Reduced max list limit from 1000 to 100 (models.py:122)
- Strip dependencies/dependents from list() and ready() responses (server.py:343-350, 368-373)
- Full dependency details still available via show() command

## Testing

✅ Python syntax validated with py_compile
✅ Changes are backward compatible
✅ Persistent context falls back to os.environ for compatibility

Users should now be able to call set_context() once and have it persist across all subsequent tool calls. Large databases will no longer cause buffer overflow errors.


Consolidate ID generation and validation into ids.go

Extract ID logic into ids.go: ValidateIssueIDPrefix, GenerateIssueID, EnsureIDs. Move GetAdaptiveIDLength here. Unify single and bulk ID generation flows.


Add bd deleted command for audit trail

Parent: bd-imj

Add command to view deletion history.

Usage:
  bd deleted              # Show recent deletions (last 7 days)
  bd deleted --since=30d  # Show deletions in last 30 days
  bd deleted --all        # Show all tracked deletions
  bd deleted bd-xxx       # Show deletion details for specific issue

Output format:
  bd-xxx  2025-11-25 10:00  stevey  duplicate of bd-yyy
  bd-yyy  2025-11-25 10:05  claude  cleanup

Acceptance criteria:
- List deletions with timestamp, actor, reason
- Filter by time range
- Lookup specific issue ID
- JSON output option for scripting


Fix bd doctor hash ID detection for short all-numeric hashes

bd doctor incorrectly flags hash-based IDs as sequential when they are short (3-4 chars) and all-numeric (e.g., pf-158).

Root cause: isHashID() in cmd/bd/migrate_hash_ids.go:328-358 uses faulty heuristic:
- For IDs < 5 chars, only returns true if contains letters
- But base36 hash IDs can be 3+ chars and all-numeric (MinLength: 3)
- Example: pf-158 is valid hash ID but flagged as sequential

Fix: Check multiple IDs (10-20 samples) instead of single-ID pattern matching:
- Sample IDs across database
- Check majority pattern (sequential vs hash format)
- Sequential: 1-4 digits (bd-1, bd-2...)
- Hash: 3-8 chars base36 (pf-158, pf-3s9...)

Impact: False positive warnings in bd doctor output


Create shared insert/event/dirty helpers

Create issues.go (insertIssue/insertIssues), events.go (recordCreatedEvent/recordCreatedEvents), dirty.go (markDirty/markDirtyBatch). Refactor single and bulk create paths to use these.


Document 3-clone ID non-determinism in collision resolution

Document the known behavior of 3+ way collision resolution where ID assignments may vary based on sync order, even though content always converges correctly.

Updates needed:
- Update bd-71107098 notes to mark 2-clone case as solved
- Document 3-clone ID non-determinism as known limitation
- Add explanation to ADVANCED.md or collision resolution docs
- Explain why this happens (pairwise hash comparison is deterministic, but multi-way ID allocation uses sync-order dependent counters)
- Clarify trade-offs: content convergence ✅ vs ID stability ❌

Key points to document:
- Hash-based resolution is pairwise deterministic
- Content always converges correctly (all issues present with correct data)
- Numeric ID assignments in 3+ way collisions depend on sync order
- This is acceptable for most use cases (content convergence is primary goal)
- Full determinism would require complex multi-way comparison


No logging/debugging for tombstone resurrection events

Per the design document bd-zvg Open Question 1: Should resurrection log a warning? Recommendation was Yes. Currently, when an expired tombstone loses to a live issue (resurrection), there is no logging or debugging output. This makes it hard to understand why an issue reappeared. Recommendation: Add optional debug logging when resurrection occurs, e.g., Issue bd-abc resurrected (tombstone expired). Files: internal/merge/merge.go:359-366, 371-378, 400-405, 410-415


Clean up linter errors (914 total issues)

The codebase has 914 linter issues reported by golangci-lint. While many are documented as baseline in LINTING.md, we should clean these up systematically to improve code quality and maintainability.

Reduced from 56 to 41 issues locally, then to 0 issues.

**Fixed in commits:**
- c2c7eda: Fixed 15 actual errors (dupl, gosec, revive, staticcheck, unparam)
- 963181d: Configured exclusions to get to 0 issues locally

**Current status:**
- ✅ Local: golangci-lint reports 0 issues
- ❌ CI: Still failing (see [deleted:bd-cb64c226.1])

**Problem:**
Config v2 format or golangci-lint-action@v8 compatibility issue causing CI to fail despite local success.

**Next:** Debug [deleted:bd-cb64c226.1] to fix CI/local discrepancy


Respond to GitHub issue #479 with solution

Once bd reset is implemented and released, respond to GitHub issue #479.

## Response should include
- Announce the new bd reset command
- Show basic usage examples
- Link to any documentation
- Thank the user for the feedback

## Example response
```
Thanks for raising this! We've added a `bd reset` command to handle this case.

Usage:
- `bd reset` - Reset to clean state (prompts for confirmation)
- `bd reset --backup` - Create backup first
- `bd reset --hard` - Also clean up git history

This is available in version X.Y.Z.
```

## Notes
- Wait until feature is merged and released
- Consider if issue should be closed or left for user confirmation


Fix import failure on missing parent issues

Import process fails atomically when JSONL references deleted parent issues. Implement hybrid solution: topological sorting + parent resurrection to handle deleted parents gracefully while maintaining referential integrity. See docs/import-bug-analysis-bd-3xq.md for full analysis.


bd find-duplicates - AI-powered duplicate detection

Find semantically duplicate issues.

Approaches:
1. Mechanical: Exact title/description matching
2. Embeddings: Cosine similarity (cheap, scalable)
3. AI: LLM-based semantic comparison (expensive, accurate)

Uses embeddings by default for >100 issues.

Files: cmd/bd/find_duplicates.go (new)


Database pollution in ~/src/dave/vc: 895 issues vs canonical 310

~/src/dave/vc/.beads/beads.db has 895 total issues (675 open, 149 closed), but canonical ~/src/vc/.beads/vc.db has only 310 issues (230 open). This is 585 extra issues - likely pollution from other repositories.

Need to:
1. Identify which issues are polluted (use detect-pollution)
2. Compare issue IDs between dave/vc and canonical vc databases
3. Determine pollution source (beads repo? other repos?)
4. Clean up polluted database
5. Root cause: why did pollution occur?

Investigation findings so far:
- Polluted DB (~/src/dave/vc/.beads/beads.db): 241 issues (180 open, 43 closed)
- Canonical DB (~/src/vc/.beads/vc.db): 310 issues (230 open, 62 closed)
- Contradiction: Polluted has FEWER issues, not more (241 < 310, diff of 69)
- Only 1 unique ID in polluted: vc-55fi
- All source_repo fields are set to "." in both databases
- Issue description claims 895 issues in polluted vs 310 canonical - numbers don't match current state
- Possible: Pollution was already partially cleaned, or issue description refers to different database?


Safety check tests use string(rune()) which only works for single digits


Add mutation channel to internal/rpc/server.go

Add mutationChan chan MutationEvent to Server struct. Emit events on CreateIssue, UpdateIssue, DeleteIssue, AddComment. Non-blocking send with default case for full channel.


Tombstone import creates duplicate entries when deletions.jsonl has entries already in JSONL

In the tombstone import logic (bd-dve), when a non-tombstone issue is in both JSONL and deletions.jsonl, we:
1. Skip the issue (line 149-155)
2. Create a tombstone from deletions.jsonl (lines 161-171)

This means if the JSONL contains issue 'bd-abc' (non-tombstone) and deletions.jsonl also has 'bd-abc', we skip the JSONL version but then add a tombstone version from deletions.jsonl. This is intentional but the skipped issue count may be confusing.

Consider: should we track converted-to-tombstone separately from skipped-deleted in the Result struct?


Update LINTING.md with current baseline

After cleanup, document the remaining acceptable baseline in LINTING.md so we can track regression.


Parameterize SQLite busy_timeout in store.go

Modify sqlite.New() to accept configurable busy_timeout.

## Current State
`internal/storage/sqlite/store.go` hardcodes:
```go
connStr = "file:" + path + "?_pragma=foreign_keys(ON)&_pragma=busy_timeout(30000)&..."
```

## Implementation Options

### Option A: Add timeout parameter to New()
```go
func New(ctx context.Context, path string, busyTimeout time.Duration) (*SQLiteStorage, error)
```
Pro: Simple, explicit
Con: Changes function signature (breaking change for callers)

### Option B: Options struct pattern
```go
type Options struct {
    BusyTimeout time.Duration // default 30s
}
func New(ctx context.Context, path string, opts *Options) (*SQLiteStorage, error)
```
Pro: Extensible, nil means defaults
Con: More boilerplate

### Recommendation: Option A with default
```go
func New(ctx context.Context, path string) (*SQLiteStorage, error) {
    return NewWithOptions(ctx, path, 30*time.Second)
}

func NewWithOptions(ctx context.Context, path string, busyTimeout time.Duration) (*SQLiteStorage, error)
```

## Acceptance Criteria
- busy_timeout is parameterized in connection string
- 0 timeout means no waiting (immediate SQLITE_BUSY)
- All existing callers continue to work (via default wrapper)

Part of bd-olc1

recovered from git history (pruned from manifest)


Add tests for DetectCycles to improve coverage from 29.6%

DetectCycles currently has 29.6% coverage. Need comprehensive tests for:
- Simple cycles (A->B->A)
- Complex multi-node cycles
- Acyclic graphs (should not detect cycles)
- Self-loops
- Multiple independent cycles
- Edge cases (empty graph, single node)


Issue to close


Invert control for compact: provide tools for agent-driven compaction

Currently compact requires Anthropic API key because bd calls the AI directly. This is backwards - we should provide tools (like all other bd commands) that let an AI agent perform the compaction. The agent decides what to keep/merge, not bd. Related to GH #243 complaint about API key requirement.


PruneDeletions iterates map non-deterministically

## Problem

`PruneDeletions` iterates over `loadResult.Records` which is a map. Go maps iterate in random order, so:

1. `result.PrunedIDs` order is non-deterministic
2. `kept` slice order is non-deterministic → `WriteDeletions` output order varies

## Location
`internal/deletions/deletions.go:213`

## Impact
- Git diffs are noisy (file changes order on each prune)
- Tests could be flaky if they depend on order
- Harder to debug/audit

## Fix
Sort by ID or timestamp before iterating:

```go
// Convert map to slice and sort
var records []DeletionRecord
for _, r := range loadResult.Records {
    records = append(records, r)
}
sort.Slice(records, func(i, j int) bool {
    return records[i].ID < records[j].ID
})
```


Improve internal/daemon test coverage (currently 22.5%)

Daemon functionality needs better coverage:
- Auto-start behavior
- Lock file management
- Discovery mechanisms
- Connection handling
- Error recovery

Current coverage: 58.3% (improved from 22.5% as of Nov 2025)


Add monitoring and alerting

Observability for production Agent Mail server.

Acceptance Criteria:
- Health check endpoint (/health)
- Prometheus metrics export
- Grafana dashboard
- Alerts for server downtime
- Alerts for high error rate
- Log aggregation config

File: deployment/agent-mail/monitoring/


Test FK constraint via close


Add integration tests for multi-repo sync

Test: Clone A deletes issue, Clone B imports Clone A's JSONL. Verify Clone B handles deletion gracefully with resurrection. Test concurrent imports with same orphans (should be idempotent). Test round-trip fidelity (export→delete parent→import→verify structure).


Update AGENTS.md with event-driven mode

Document BEADS_DAEMON_MODE env var. Explain opt-in during Phase 1. Add troubleshooting for watcher failures.


Create Python adapter library

Create beads_mail_adapter.py library that wraps Agent Mail HTTP calls with health checks and graceful degradation.

Acceptance Criteria:
- AgentMailAdapter class with health check on init
- enabled flag auto-disables if server unreachable
- All methods wrapped in try/catch (non-blocking failures)
- Methods: reserve_issue(), release_issue(), notify(), check_inbox()
- Environment-based configuration (AGENT_MAIL_URL, AGENT_MAIL_TOKEN)
- Unit tests for enabled/disabled modes

File: lib/beads_mail_adapter.py


Add MCP server functions for repair commands

Expose new repair commands via MCP server for agent access:

Functions to add:
- beads_repair_deps()
- beads_detect_pollution()
- beads_validate()
- beads_resolve_conflicts() (when implemented)

Update integrations/beads-mcp/src/beads_mcp/server.py

See repair_commands.md lines 803-884 for design.

Implemented all three MCP server functions:

1. **repair_deps(fix=False)** - Find/fix orphaned dependencies
2. **detect_pollution(clean=False)** - Detect/clean test issues
3. **validate(checks=None, fix_all=False)** - Run comprehensive health checks

Changes:
- Added abstract methods to BdClientBase
- Implemented in BdCliClient (CLI execution)
- Added NotImplementedError stubs in BdDaemonClient (falls back to CLI)
- Created wrapper functions in tools.py
- Registered @mcp.tool decorators in server.py

All commands tested and working with --no-daemon flag.


bd-hv01: Multi-repo mode not tested with deletion tracking

Problem: Test suite has no coverage for multi-repo mode. ExportToMultiRepo creates multiple JSONL files but snapshot files are hardcoded to single JSONL location.

Impact: Deletion tracking likely silently broken for multi-repo users, could cause data loss.

Fix: Add test and update snapshot logic to handle multiple JSONL files.

Files: cmd/bd/deletion_tracking_test.go, cmd/bd/deletion_tracking.go, cmd/bd/daemon_sync.go:24-34


Test RPC mutation event


bd repair-deps - Orphaned dependency cleaner

Find and fix orphaned dependency references.

Implementation:
- Scan all issues for dependencies pointing to non-existent issues
- Report orphaned refs
- Auto-fix with --fix flag
- Interactive mode with --interactive

Files: cmd/bd/repair_deps.go (new)


Verify MCP Server Compatibility

Ensure MCP server works with cache-free daemon


Jira import/export integration

Add ability to import issues from Jira and export beads issues to Jira. See GitHub discussion #430 for user request.

**Background**: User @kaihendry configured jira.* settings but found bd sync doesn't sync with Jira - only with git. The config namespace exists but the integration doesn't.

**Existing infrastructure**:
- external_ref field for linking to external systems
- Import logic matches by external_ref first (priority over ID matching)
- Config namespace jira.* documented in CONFIG.md
- GitHub import example (examples/github-import/gh2jsonl.py) provides pattern

**Schema mapping challenges**:
- Jira workflows are highly customizable (status mapping)
- Jira has more field types (components, versions, custom fields)
- Two-way sync needs conflict resolution
- Jira Cloud vs Server/Data Center have different APIs

**Approach**: Phased implementation starting with import, then export, then bidirectional sync.


Measure git operation reduction

Quantify the reduction in git operations (pulls, commits, pushes) when using Agent Mail for coordination.

Acceptance Criteria:
- Baseline: count git ops for 10 issues without Agent Mail
- With Agent Mail: count git ops for 10 issues
- Document reduction percentage
- Verify 70-80% reduction claim
- Measure impact on .git directory size growth

Success Metric: ≥70% reduction in git operations


Implement bd resolve-conflicts (git merge conflicts in JSONL)

Automatically detect and resolve git merge conflicts in .beads/issues.jsonl file.

Features:
- Detect conflict markers in JSONL
- Parse conflicting issues from HEAD and BASE
- Provide mechanical resolution (remap duplicate IDs)
- Support AI-assisted resolution (requires internal/ai package)

See repair_commands.md lines 125-353 for design.


Remove unreachable utility functions

Several small utility functions are unreachable:

Files to clean:
1. `internal/storage/sqlite/hash.go` - `computeIssueContentHash` (line 17)
   - Check if entire file can be deleted if only contains this function

2. `internal/config/config.go` - `FileUsed` (line 151)
   - Delete unused config helper

3. `cmd/bd/git_sync_test.go` - `verifyIssueOpen` (line 300)
   - Delete dead test helper

4. `internal/compact/haiku.go` - `HaikuClient.SummarizeTier2` (line 81)
   - Tier 2 summarization not implemented
   - Options: implement feature OR delete method

Impact: Removes 50-100 LOC depending on decisions


Workaround for FastMCP outputSchema bug in Claude Code

The beads MCP server (v0.23.1) successfully connects to Claude Code, but all tools fail to load with a schema validation error due to a bug in FastMCP 2.13.1.

Error: "Invalid literal value, expected \"object\"" in outputSchema.

Root Cause: FastMCP generates outputSchema with $ref at root level without "type": "object" for self-referential models (Issue).

Workaround: Use slash commands (/beads:ready) or wait for FastMCP fix.


Add docs/architecture/event_driven.md

Copy event_driven_daemon.md into docs/ folder. Add to documentation index.


Investigate jujutsu integration for beads

Research and document how beads could integrate with jujutsu (jj), the next-generation VCS. Key areas to explore:
- How jj's operation model differs from git (immutable operations, working-copy-as-commit)
- JSONL sync strategy with jj's conflict resolution model
- Daemon compatibility with jj's more frequent rewrites
- Whether auto-import/export needs changes for jj workflows
- Example configurations and documentation updates needed


Remove misleading placeholder 'bd merge' command from duplicates output

**Problem:**
The `bd duplicates` command suggests running a command that doesn't exist:
```
bd merge <source-ids> --into <target-id>
```

This is confusing because:
1. `bd merge` is actually a git 3-way JSONL merge driver (takes 4 file paths)
2. The suggested syntax for merging duplicate issues is not implemented
3. Line 75 in duplicates.go even has: `// TODO: performMerge implementation pending`

**Current behavior:**
- Users see suggested command that doesn't work
- No indication that feature is unimplemented
- Related to issue #349 item #2

**Proposed fix:**
Replace line 77 in cmd/bd/duplicates.go with either:

Option A (conservative):
```go
cmd := fmt.Sprintf("# TODO: Merge %s into %s (merge command not yet implemented)",
    strings.Join(sources, " "), target.ID)
```

Option B (actionable):
```go
cmd := fmt.Sprintf("# Duplicate found: %s\n# Manual merge: Close duplicates with 'bd close %s' and link to %s as 'related'",
    strings.Join(sources, " "), strings.Join(sources, " "), target.ID)
```

**Files to modify:**
- cmd/bd/duplicates.go (line ~77)


Latency test 1


Document -short flag in testing guide

Add documentation about the -short flag and how it's used to skip slow tests. Should explain that developers can run 'go test -short ./...' for fast iteration and 'go test ./...' for full coverage.


Import validation falsely reports data loss on collision resolution

## Problem

Post-import validation reports 'data loss detected!' when import count reduces due to legitimate collision resolution.

## Example

```
Import complete: 1 created, 8 updated, 142 unchanged, 19 skipped, 1 issues remapped
Post-import validation failed: import reduced issue count: 165 → 164 (data loss detected!)
```

This was actually successful collision resolution (bd-70419816 duplicated → remapped to-70419816), not data loss.

## Impact

- False alarms waste investigation time
- Undermines confidence in import validation
- Confuses users/agents about sync health

## Solution

Improve validation to distinguish:
- Collision-resolution merges (expected count reduction)
- Actual data loss (unexpected disappearance)

Track remapped issue count and adjust expected post-import count accordingly.


Stress test: event storm handling

Simulate 100+ rapid JSONL writes. Verify debouncer batches to single import. Verify no data loss. Test daemon stability.


CRDT-based architecture for guaranteed convergence (v2.0)

## Vision
Redesign beads around Conflict-Free Replicated Data Types (CRDTs) to provide mathematical guarantees for N-way collision resolution at arbitrary scale.

## Current Limitations
- Content-hash based collision resolution fails at 5+ clones
- Non-deterministic convergence in multi-round scenarios
- UNIQUE constraint violations during rename operations
- No formal proof of convergence properties

## CRDT Benefits
- Provably convergent (Strong Eventual Consistency)
- Commutative/Associative/Idempotent operations
- No coordination required between clones
- Scales to 100+ concurrent workers
- Well-understood mathematical foundations

## Proposed Architecture

### 1. UUID-Based IDs
Replace sequential IDs with UUIDs:
- Current: bd-1c63eb84, bd-9063acda, bd-4d80b7b1
- CRDT: bd-a1b2c3d4-e5f6-7890-abcd-ef1234567890
- Human aliases maintained separately: #42 maps to UUID

### 2. Last-Write-Wins (LWW) Elements
Each field becomes an LWW register:
- title: (timestamp, clone_id, value)
- status: (timestamp, clone_id, value)
- Deterministic conflict resolution via Lamport timestamp + clone_id tiebreaker

### 3. Operation Log
Track all operations as CRDT ops:
- CREATE(uuid, timestamp, clone_id, fields)
- UPDATE(uuid, field, timestamp, clone_id, value)
- DELETE(uuid, timestamp, clone_id) - tombstone, not hard delete

### 4. Sync as Merge
Syncing becomes merging two CRDT states:
- No merge conflicts possible
- Deterministic merge function
- Guaranteed convergence

## Implementation Phases

### Phase 1: Research & Design (4 weeks)
- Study existing CRDT implementations (Automerge, Yjs, Loro)
- Design schema for CRDT-based issue tracking
- Prototype LWW-based Issue CRDT
- Benchmark performance vs current system

### Phase 2: Parallel Implementation (6 weeks)
- Implement CRDT storage layer alongside SQLite
- Build conversion tools: SQLite ↔ CRDT
- Maintain backward compatibility with v1.x format
- Migration path for existing databases

### Phase 3: Testing & Validation (4 weeks)
- Formal verification of convergence properties
- Stress testing with 100+ clone scenario
- Performance profiling and optimization
- Documentation and examples

### Phase 4: Migration & Rollout (4 weeks)
- Release v2.0-beta with CRDT backend
- Gradual migration from v1.x
- Monitoring and bug fixes
- Final v2.0 release

## Risks & Mitigations

**Risk 1: Performance overhead**
- Mitigation: Benchmark early, optimize hot paths
- CRDTs can be slower than append-only logs
- May need compaction strategy

**Risk 2: Storage bloat**
- Mitigation: Implement operation log compaction
- Tombstone garbage collection for deleted issues
- Periodic snapshots to reduce log size

**Risk 3: Breaking changes**
- Mitigation: Maintain v1.x compatibility layer
- Gradual migration tools
- Dual-mode operation during transition

**Risk 4: Complexity**
- Mitigation: Use battle-tested CRDT libraries
- Comprehensive documentation
- Clear migration guide

## Success Criteria
- 100-clone collision test passes without failures
- Formal proof of convergence properties
- Performance within 2x of current system
- Zero manual conflict resolution required
- Backward compatible with v1.x databases

## Timeline
18-20 weeks total (4-5 months)

## References
- Automerge: https://automerge.org
- Yjs: https://docs.yjs.dev
- Loro: https://loro.dev
- CRDT theory: Shapiro et al, A comprehensive study of CRDTs
- Related issues: bd-e6d71828, bd-7a2b58fc,-1


Performance Validation

Confirm no performance regression from cache removal


Fix inconsistent error handling in multi-repo deletion tracking

From bd-xo6b code review: Multi-repo deletion tracking has mixed failure modes that can leave system in inconsistent state.

**Current behavior (daemon_sync.go):**
- Snapshot capture (L505-514): Hard fail → aborts sync
- Merge/prune (L575-584): Hard fail → aborts sync
- Base snapshot update (L613-619): Soft fail → logs warning, continues

**Critical problem:**
If merge fails on repo 3 of 5:
- Repos 1-2 have already merged and deleted issues (irreversible)
- Repos 3-5 are untouched
- Database is in partially-updated state
- No rollback mechanism

**Real-world scenario:**
```
Sync with repos [A, B, C]:
1. Capture snapshots A ✓, B ✓, C ✗ → ABORT (good)
2. Merge A ✓, B ✗ → ABORT but A already deleted issues (BAD - no rollback)
3. Update base A ⚠, B ⚠ → Warnings only (inconsistent with 1 & 2)
```

**Solution options:**
1. **Two-phase commit:**
   - Phase 1: Validate all repos (check files exist, readable, parseable)
   - Phase 2: Apply changes atomically (or fail entirely before any mutations)

2. **Fail-fast validation:**
   - Before any snapshot/merge operations, validate all repos upfront
   - Abort entire sync if any repo fails validation

3. **Make base snapshot update consistent:**
   - Either make it hard-fail like the others, or make all soft-fail

**Files:**
- cmd/bd/daemon_sync.go:505-514 (snapshot capture)
- cmd/bd/daemon_sync.go:575-584 (merge/prune)
- cmd/bd/daemon_sync.go:613-619 (base snapshot update)

**Recommendation:** Use option 1 (two-phase) or option 2 (fail-fast validation) + fix base snapshot inconsistency.


Fix CI failures before 0.21.3 release

CI is failing on multiple jobs:
1. Nix flake: Tests fail due to missing git in build environment
2. Windows tests: Need to check what's failing
3. Linux tests: Need to check what's failing
4. Linter errors: Many unchecked errors need fixing

Need to fix before tagging v0.21.3 release.

Fixed linter errors (errcheck, misspell), Nix flake git dependency, and import database discovery bug. Tests still failing - need to investigate further.


Test auto-start in fred


Add Agent Mail to QUICKSTART.md

Mention Agent Mail as optional advanced feature in quickstart guide.

File: docs/QUICKSTART.md


Latency test 1

Resetting stale in_progress status from old executor run (yesterday)


Integration test: mutation to export latency

Measure time from bd create to JSONL update. Verify <500ms latency. Test with multiple rapid mutations to verify batching.


Test reservation expiration and renewal

Verify TTL-based reservation expiration works correctly.

Acceptance Criteria:
- Reserve with short TTL (30s)
- Verify other agents can't claim
- Wait for expiration
- Verify reservation auto-released
- Other agent can now claim
- Test renewal/heartbeat mechanism

File: tests/integration/test_reservation_ttl.py

Implemented comprehensive TTL/expiration test suite in tests/integration/test_reservation_ttl.py

Test Coverage:
✅ Short TTL reservations (30s) - verifies TTL is properly set
✅ Reservation blocking - confirms agent2 cannot claim while agent1 holds reservation
✅ Auto-release after expiration - validates expired reservations are auto-cleaned and become available
✅ Renewal/heartbeat - tests that re-reserving extends expiration time

All 4 tests passing in 56.9s total (including 30s+ wait time for expiration tests).

Mock server implements full TTL management:
- Reservation class with expiration tracking
- Auto-cleanup of expired reservations on each request
- Renewal support (same agent re-reserving)
- 409 conflict for cross-agent reservation attempts


Debug MCP Agent Mail tool execution errors

**EXTERNAL WORK**: Debug the standalone MCP Agent Mail server (separate from beads integration).

The Agent Mail server runs as an independent service at ~/src/mcp_agent_mail. This is NOT beads code - it's a separate GitHub project we're evaluating for optional coordination features.

Current Issue:
- MCP API endpoint returns errors when calling ensure_project tool
- Error: "Server encountered an unexpected error while executing tool"
- Core HTTP server works, web UI functional, but tool wrapper layer fails

Server Details:
- Location: ~/src/mcp_agent_mail (separate repo)
- Repository: https://github.com/Dicklesworthstone/mcp_agent_mail
- Runs on: http://127.0.0.1:8765
- Bearer token: In .env file

Investigation Steps:
1. Check tool execution logs for full stack trace
2. Verify Git storage initialization at ~/.mcp_agent_mail_git_mailbox_repo
3. Review database setup (storage.sqlite3)
4. Test with simpler MCP tools if available
5. Compare with working test cases in tests/

Why This Matters:
- Blocks [deleted:bd-6hji] (testing file reservations)
- Need working MCP API to validate Agent Mail benefits
- Proof of concept for lightweight beads integration later

Note: The actual beads integration (bd-wfmw) will be lightweight HTTP client code only.


Investigate performance issues in VS Code Copilot (Windows)

Beads unusable in Windows 11 VS Code Copilot chat with Sonnet 4.5.
Summary event happens every 3-4 turns, taking 3 minutes.
Copilot summarizes after ~125k tokens despite model supporting 1M.
Large context size of beads might be triggering aggressive summarization.
Need workaround or optimization for context size.


Run bd doctor at end of bd init to verify setup

Run bd doctor diagnostics at end of bd init (after line 398 in init.go). If issues found, warn user immediately: '⚠ Setup incomplete. Run bd doctor --fix to complete setup.' Catches configuration problems before user encounters them in normal workflow.


Benchmark Helper Functions

Extend existing benchmark helpers in internal/storage/sqlite/bench_helpers_test.go (or create if organizing separately).

Existing helper (in compact_bench_test.go):
- setupBenchDB(tb) - Creates temp SQLite database with basic config
  * Used by compact and cycle benchmarks
  * Returns (*SQLiteStorage, cleanup func())

New helpers to add:
- setupLargeBenchDB(b *testing.B) storage.Storage
  * Creates 10K issue database using LargeSQLite fixture
  * Returns configured storage instance

- setupXLargeBenchDB(b *testing.B) storage.Storage
  * Creates 20K issue database using XLargeSQLite fixture
  * Returns configured storage instance

Implementation options:
1. Add to existing compact_bench_test.go (co-located with setupBenchDB)
2. Create new bench_helpers_test.go for organization

Both approaches:
- Build tag: //go:build bench
- Uses fixture generator from internal/testutil/fixtures
- Follows existing setupBenchDB() pattern
- Handles database cleanup

These helpers reduce duplication across new benchmark functions and provide consistent large-scale database setup.


URGENT: main branch has failing tests (syncbranch migration error)

The main branch has failing tests that are blocking CI for all PRs.

## Problem
All syncbranch_test.go tests failing with:
"migration external_ref_column failed: failed to create index on external_ref: sqlite3: SQL logic error: no such table: main.issues"

## Evidence
- Last 5 CI runs on main: ALL FAILED
- Tests fail locally on current main (bd6dca5)
- Affects: TestGet, TestSet, TestUnset in internal/syncbranch

## Impact
- Blocking all PR merges
- CI shows red for all branches
- Can't trust test results

## Root Cause
Migration order issue - trying to create index on external_ref column before the issues table exists, or before the external_ref column is added to the issues table.

## Quick Fix Needed
Need to investigate migration order in internal/storage/sqlite/migrations.go and ensure:
1. issues table is created first
2. external_ref column is added to issues table
3. THEN index on external_ref is created

This is CRITICAL - main should never have breaking tests.


Issue 1 to reopen


Documentation

Complete documentation for Agent Mail integration to enable adoption.


bd status "Recent Activity" is misleading - should use git history

## Problem

`bd status` shows "Recent Activity (last 7 days)" but the numbers are wrong. It only looks at database timestamps, not git history. Says "141 issues closed in last 7 days" when thousands have actually come and go.

## Issues

1. Only queries database timestamps, not git history
2. 7 days is too long a window
3. Numbers don't reflect actual activity in JSONL git history

## Proposed Fix

Either:
- Query git history of `.beads/beads.jsonl` to get actual activity (last 24-48 hours)
- Remove "Recent Activity" section entirely if not useful
- Make time window configurable and default to 24h

## Example Output (Current)
```
Recent Activity (last 7 days):
Issues Created:    174
Issues Closed:     141
Issues Updated:    37
```
This is misleading when thousands of issues have actually cycled through.


Improve compact/daemon/merge documentation and UX

Multiple documentation and UX issues encountered:
1. "bd compact --analyze" fails with misleading "requires SQLite storage" error when daemon is running. Needs --no-daemon or better error.
2. "bd merge" help text is outdated (refers to 3-way merge instead of issue merging).
3. Daemon mode purpose isn't clear to local-only users.
4. Compact/cleanup commands are hard to discover.

Proposed fixes:
- Fix compact+daemon interaction or error message.
- Update "bd merge" help text.
- Add "when to use daemon" section to docs.
- Add maintenance section to quickstart.


Implement core reset package (internal/reset)

Create the core reset logic in internal/reset/ package.

## Responsibilities
- ResetOptions struct with all flag options
- CountImpact() - count issues/tombstones that will be deleted
- ValidateState() - check .beads/ exists, check git dirty state
- ExecuteReset() - main reset logic (without CLI concerns)
- Integrate with daemon killall

## Interface Design
```go
type ResetOptions struct {
    Hard      bool   // Include git operations (git rm, commit)
    Backup    bool   // Create backup before reset
    DryRun    bool   // Preview only, don't execute
    SkipInit  bool   // Don't re-initialize after reset
}

type ResetResult struct {
    IssuesDeleted     int
    TombstonesDeleted int
    BackupPath        string  // if backup was created
    DaemonsKilled     int
}

type ImpactSummary struct {
    IssueCount      int
    OpenCount       int
    ClosedCount     int
    TombstoneCount  int
    HasUncommitted  bool  // git dirty state
}

func Reset(opts ResetOptions) (*ResetResult, error)
func CountImpact() (*ImpactSummary, error)
func ValidateState() error
```

## IMPORTANT: CLI vs Core Separation
- `Force` (skip confirmation) is NOT in ResetOptions - that's a CLI concern
- Core always executes when called; CLI decides whether to prompt first
- Keep CLI-agnostic: no prompts, no colored output, no user interaction
- Return errors for CLI to handle with user-friendly messages
- Unit testable in isolation

## Dependencies
- Uses daemon.KillAllDaemons() from internal/daemon/
- Calls bd init logic after reset (unless SkipInit)


Batch test 3


bd doctor doesn't detect version mismatches or stale daemons


Complete and commit beads-mcp type safety improvements

Uncommitted type safety work in beads-mcp needs review and completion


Test Epic

## Overview

[Describe the high-level goal and scope of this epic]

## Success Criteria

- [ ] Criteria 1
- [ ] Criteria 2
- [ ] Criteria 3

## Background

[Provide context and motivation]

## Scope

**In Scope:**
- Item 1
- Item 2

**Out of Scope:**
- Item 1
- Item 2


Fix TestMigrateHashIDs test failure

Test failure in cmd/bd/migrate_hash_ids_test.go:100 - New ID bd-09970281 for bd-1 is not a hash ID. This test is validating the hash ID migration but the generated ID doesn't match the expected format.


Refactor daemon.go into internal/daemonrunner

Extract daemon runtime from daemon.go (1,565 lines) into internal/daemonrunner with focused modules: config.go, daemon.go, process.go, rpc_server.go, sync.go, git.go. Keep cobra command thin.


Rapid 1


Tombstone export includes tombstones even with --status filter

In export.go, we set IncludeTombstones: true unconditionally. However, if a user runs:

  bd export --status=open

They might not expect tombstones in the output. The IncludeTombstones flag should probably only be set when no status filter is specified, or when --status=tombstone is explicitly requested.

Current behavior: exports tombstones regardless of status filter
Expected behavior: respect status filter, only include tombstones when explicitly requested or no filter


Refactor cmd/bd/daemon.go for testability and maintainability


Code review follow-up for bd-dvd and bd-ymj fixes

Track improvements and issues identified during code review of parent resurrection (bd-dvd) and export metadata (bd-ymj) bug fixes.

## Context
Code review identified several areas for improvement:
- Code duplication in metadata updates
- Missing multi-repo support
- Test coverage gaps
- Potential race conditions

## Related Issues
Original bugs fixed: bd-dvd, bd-ymj

## Goals
- Eliminate code duplication
- Add multi-repo support where needed
- Improve test coverage
- Address edge cases


Document shared memory test isolation pattern in test_helpers.go

Tests were failing because :memory: creates a shared database across all tests. The fix is to use "file::memory:?mode=memory&cache=private" for test isolation.

Should document this pattern in test_helpers.go and potentially update newTestStore to use private memory by default.


Audit remaining cmd/bd files for error handling consistency

Extend ERROR_HANDLING_AUDIT.md to cover: daemon_sync.go, update.go, list.go, show.go, close.go, reopen.go, dep.go, label.go, comments.go, delete.go, compact.go, config.go, validate.go and other high-usage command files


Design tombstone storage format

Define the JSON schema for tombstone records. Options: minimal (id, deleted_at, deleted_by, expires_at) vs full preservation (keep all original fields). Trade-offs: storage size vs audit trail. Consider: should tombstones be distinguishable from regular issues by status field or separate record type?


Sync protection mechanism resurrects deleted issues

During bd sync, the 'Protecting N issue(s) from left snapshot' logic resurrects issues that are in the deletions manifest, causing UNIQUE constraint failures on subsequent syncs.

## Reproduction
1. Delete an issue with bd delete (creates tombstone + deletions.jsonl entry)
2. Run bd sync - succeeds
3. Run bd sync again - fails with 'UNIQUE constraint failed: issues.id'

## Root Cause
The protection mechanism (designed to prevent data loss during 3-way merge) keeps a snapshot of issues before sync. When importing after pull, it restores issues from this snapshot even if they're in the deletions manifest.

## Observed Behavior
- bd-3pd was deleted and added to deletions.jsonl
- First sync exports tombstone, commits, pulls, imports - succeeds
- Second sync: protection restores bd-3pd from left snapshot
- Import tries to create bd-3pd which already exists → UNIQUE constraint error

## Expected Behavior
Issues in deletions manifest should NOT be restored by protection mechanism.

## Workaround
Manually delete from DB: sqlite3 .beads/beads.db 'DELETE FROM issues WHERE id = "bd-xxx"'

## Files to Investigate
- cmd/bd/sync.go - protection logic
- cmd/bd/snapshot_manager.go - left snapshot handling
- internal/importer/importer.go - import with protection


Export deduplication breaks when JSONL and export_hashes table diverge

## Problem

The export deduplication feature (timestamp-only skipping) breaks when the JSONL file and export_hashes table get out of sync, causing exports to skip issues that aren't actually in the file.

## Symptoms

- `bd export` reports "Skipped 128 issue(s) with timestamp-only changes"
- JSONL file only has 38 lines but DB has 149 issues
- export_hashes table has 149 entries
- Auto-import doesn't trigger (hash matches despite missing data)
- Two repos on same commit show different issue counts

## Root Cause

shouldSkipExport() in autoflush.go compares current issue hash with stored export_hashes entry. If they match, it skips export assuming the issue is already in the JSONL.

This assumption fails when:
1. Git operations (pull, reset, checkout) change JSONL without clearing export_hashes
2. Manual JSONL edits or corruption
3. Import operations that modify DB but don't update export_hashes
4. Partial exports that update export_hashes but don't complete

## Impact

- **Critical data loss risk**: Issues appear to be tracked but aren't persisted to git
- Breaks multi-repo sync (root cause of today's debugging session)
- Auto-import fails to detect staleness (hash matches despite missing data)
- Silent data corruption (no error messages, just missing issues)

## Reproduction

1. Have DB with 149 issues, all in export_hashes table
2. Truncate JSONL to 38 lines (simulate git reset or corruption)
3. Run `bd export` - it skips 128 issues
4. JSONL still has only 38 lines but export thinks it succeeded

## Current Workaround

```bash
sqlite3 .beads/beads.db "DELETE FROM export_hashes"
bd export -o .beads/beads.jsonl
```

## Proposed Solutions

**Option 1: Verify JSONL integrity before skipping**
- Count lines in JSONL, compare with export_hashes count
- If mismatch, clear export_hashes and force full export
- Safe but adds I/O overhead

**Option 2: Hash-based JSONL validation**
- Store hash of entire JSONL file in metadata
- Before export, check if JSONL hash matches
- If mismatch, clear export_hashes
- More efficient, detects any JSONL corruption

**Option 3: Disable timestamp-only deduplication**
- Remove the feature entirely
- Always export all issues
- Simplest and safest, but creates larger git commits

**Option 4: Clear export_hashes on git operations**
- Add post-merge hook to clear export_hashes
- Clear on any import operation
- Defensive approach but may over-clear

## Recommended Fix

Combination of Options 2 + 4:
1. Store JSONL file hash in metadata after export
2. Check hash before export, clear export_hashes if mismatch
3. Clear export_hashes on import operations
4. Add `bd validate` check for JSONL/export_hashes sync

## Files Involved

- cmd/bd/autoflush.go (shouldSkipExport)
- cmd/bd/export.go (export with deduplication)
- internal/storage/sqlite/metadata.go (export_hashes table)

## Recovery Session (2025-10-29 21:30)

### What Happened
- Created 14 new hash ID issues (bd-f8b764c9 through bd-f8b764c9.1)
- bd sync appeared to succeed
- Canonical repo (~/src/beads): 162 issues in DB + JSONL ✓
- Secondary repo (fred/beads): Only 145 issues vs 162 in canonical ✗
- Both repos on same git commit but different issue counts!

### Bug Manifestation During Recovery

1. **Initial state**: fred/beads had 145 issues, 145 lines in JSONL, 145 export_hashes entries

2. **After git reset --hard origin/main**:
   - JSONL: 162 lines (from git)
   - DB: 150 issues (auto-import partially worked)
   - Auto-import failed with UNIQUE constraint error

3. **After manual import --resolve-collisions**:
   - DB: 160 issues
   - JSONL: Still 162 lines
   - export_hashes: 159 entries

4. **After bd export**:
   - **JSONL reduced to 17 lines!** ← The bug in action
   - export_hashes: 159 entries (skipped exporting 142 issues)
   - Silent data loss - no error message

5. **After clearing export_hashes and re-export**:
   - JSONL: 159 lines (missing 3 issues still)
   - DB: 159 issues
   - Still diverged from canonical

### The Bug Loop
Once export_hashes and JSONL diverge:
- Export skips issues already in export_hashes
- But those issues aren't actually in JSONL
- This creates corrupt JSONL with missing issues
- Auto-import can't detect the problem (file hash matches what was exported)
- Data is lost with no error messages

### Recovery Solution
Couldn't break the loop with export alone. Had to:
1. Copy .beads/beads.db from canonical repo
2. Clear export_hashes
3. Full re-export
4. Finally converged to 162 issues

### Key Learnings

1. **The bug is worse than we thought**: It can create corrupt exports (17 lines instead of 162!)

2. **Auto-import can't save you**: Once export is corrupt, auto-import just imports the corrupt data

3. **Silent failure**: No warnings, no errors, just missing issues

4. **Git operations trigger it**: git reset, git pull, etc. change JSONL without clearing export_hashes

5. **Import operations populate export_hashes**: Even manual imports update export_hashes, setting up future export failures

### Immediate Action Required

**DISABLE EXPORT DEDUPLICATION NOW**

This feature is fundamentally broken and causes data loss. Should be disabled until properly fixed.

Quick fix options:
- Set environment variable to disable feature
- Comment out shouldSkipExport check
- Always clear export_hashes before export
- Add validation that DB count == JSONL line count before allowing export

### Long-term Fix

Need Option 2 + 4 from proposed solutions:
1. Store JSONL file hash after every successful export
2. Before export, verify JSONL hash matches expected
3. If mismatch, log WARNING and clear export_hashes
4. Clear export_hashes on every import operation
5. Add git post-merge hook to clear export_hashes
6. Add `bd validate` command to detect divergence


Fix bd init to bootstrap from sync-branch when configured

When sync-branch is configured in config.yaml, bd init should import from that branch instead of HEAD. Currently it reads HEAD:.beads/issues.jsonl which may be empty or stale when issues are on the sync branch. Location: cmd/bd/autoimport.go:97 checkGitForIssues()


bd detect-pollution - Test pollution detector

Detect test issues that leaked into production DB.

Pattern matching for:
- Titles starting with 'test', 'benchmark', 'sample'
- Sequential numbering (test-1, test-2)
- Generic descriptions
- Created in rapid succession

Optional AI scoring for confidence.

Files: cmd/bd/detect_pollution.go (new)


Auto-import runs during --no-auto-import operations via stats/ready commands

Even when using --no-auto-import flag, certain commands like 'bd stats' and 'bd ready' still trigger auto-import internally, which can cause the git history backfill bug to corrupt data.

Example:
  bd stats --no-auto-import
  # Still prints 'Purged bd-xxx (recovered from git history...)'

The flag should completely disable auto-import for the command, but it appears some code paths still trigger it.

Workaround: Use --allow-stale instead, or --sandbox mode.


Test exclusive file reservations with two agents

Simulate two agents racing to claim the same issue and verify that exclusive reservations prevent collision.

Acceptance Criteria:
- Agent A reserves bd-123 → succeeds
- Agent B tries to reserve bd-123 → fails with clear error message
- Agent B can see who has the reservation
- Reservation expires after TTL
- Agent B can claim after expiration

Successfully tested file reservations:
- Agent BrownBear reserved bd-123 → granted
- Agent ChartreuseHill tried same → conflicts returned
- System correctly prevents collision


Rapid 5


Testing & Validation

Ensure reliability through comprehensive testing.

Completed comprehensive Agent Mail test coverage analysis and implementation.

**Test Coverage Summary:**
- 66 total tests across 5 files
- 51 unit tests for HTTP adapter (0.02s)
- 15 integration tests for multi-agent scenarios (~55s total)

**New Tests Added:**
Created `test_multi_agent_coordination.py` (4 tests, 11s) covering:
1. Fairness: 10 agents competing for 5 issues → exactly 1 claim per issue
2. Notifications: End-to-end message delivery between agents
3. Handoff: Clean reservation transfer from agent1 to agent2
4. Idempotency: Double reserve/release by same agent

**Coverage Quality:**
✅ Collision prevention (race conditions)
✅ Graceful degradation (7 failure modes)
✅ TTL/expiration behavior
✅ Multi-agent coordination
✅ JSONL consistency
✅ HTTP error handling
✅ Authorization and configuration

**Intentionally Skipped:**
- Path traversal (validated elsewhere)
- Retry policies (nice-to-have)
- HTTPS/TLS (out of scope)
- Slow tests (50+ agents, soak tests)

See `tests/integration/AGENT_MAIL_TEST_COVERAGE.md` for details.

All tests pass. Agent Mail integration is well-tested and reliable for multi-agent scenarios.


bd init --contributor should configure sync.remote=upstream for fork workflows

When running `bd init --contributor` in a fork workflow (where `upstream` remote points to the original repo), the wizard should configure beads to sync from `upstream/main` rather than `origin/main`.

**Current behavior:**
- Contributor mode detects the fork setup (upstream remote exists)
- Sets up planning repo and auto-routing
- Does NOT configure sync remote
- `bd sync` on feature branches shows "No upstream configured, using --from-main mode" and syncs from `origin/main`

**Expected behavior:**
- Contributor mode should also set `sync.remote = upstream` (or similar config)
- `bd sync` should pull beads from `upstream/main` (source of truth)

**Why this matters:**
- The fork's `origin/main` may be behind `upstream/main`
- Contributors want the latest issues from the source repo
- Code PRs go: local -> origin -> upstream, but beads should come FROM upstream

**Suggested fix:**
Add to `runContributorWizard()` after detecting fork:
```go
if isFork {
    store.SetConfig(ctx, "sync.remote", "upstream")
}
```


CRDT-based architecture for guaranteed convergence (v2.0)

## Vision
Redesign beads around Conflict-Free Replicated Data Types (CRDTs) to provide mathematical guarantees for N-way collision resolution at arbitrary scale.

## Current Limitations
- Content-hash based collision resolution fails at 5+ clones
- Non-deterministic convergence in multi-round scenarios
- UNIQUE constraint violations during rename operations
- No formal proof of convergence properties

## CRDT Benefits
- Provably convergent (Strong Eventual Consistency)
- Commutative/Associative/Idempotent operations
- No coordination required between clones
- Scales to 100+ concurrent workers
- Well-understood mathematical foundations

## Proposed Architecture

### 1. UUID-Based IDs
Replace sequential IDs with UUIDs:
- Current: bd-1c63eb84, bd-9063acda, bd-4d80b7b1
- CRDT: bd-a1b2c3d4-e5f6-7890-abcd-ef1234567890
- Human aliases maintained separately: #42 maps to UUID

### 2. Last-Write-Wins (LWW) Elements
Each field becomes an LWW register:
- title: (timestamp, clone_id, value)
- status: (timestamp, clone_id, value)
- Deterministic conflict resolution via Lamport timestamp + clone_id tiebreaker

### 3. Operation Log
Track all operations as CRDT ops:
- CREATE(uuid, timestamp, clone_id, fields)
- UPDATE(uuid, field, timestamp, clone_id, value)
- DELETE(uuid, timestamp, clone_id) - tombstone, not hard delete

### 4. Sync as Merge
Syncing becomes merging two CRDT states:
- No merge conflicts possible
- Deterministic merge function
- Guaranteed convergence

## Implementation Phases

### Phase 1: Research & Design (4 weeks)
- Study existing CRDT implementations (Automerge, Yjs, Loro)
- Design schema for CRDT-based issue tracking
- Prototype LWW-based Issue CRDT
- Benchmark performance vs current system

### Phase 2: Parallel Implementation (6 weeks)
- Implement CRDT storage layer alongside SQLite
- Build conversion tools: SQLite ↔ CRDT
- Maintain backward compatibility with v1.x format
- Migration path for existing databases

### Phase 3: Testing & Validation (4 weeks)
- Formal verification of convergence properties
- Stress testing with 100+ clone scenario
- Performance profiling and optimization
- Documentation and examples

### Phase 4: Migration & Rollout (4 weeks)
- Release v2.0-beta with CRDT backend
- Gradual migration from v1.x
- Monitoring and bug fixes
- Final v2.0 release

## Risks & Mitigations

**Risk 1: Performance overhead**
- Mitigation: Benchmark early, optimize hot paths
- CRDTs can be slower than append-only logs
- May need compaction strategy

**Risk 2: Storage bloat**
- Mitigation: Implement operation log compaction
- Tombstone garbage collection for deleted issues
- Periodic snapshots to reduce log size

**Risk 3: Breaking changes**
- Mitigation: Maintain v1.x compatibility layer
- Gradual migration tools
- Dual-mode operation during transition

**Risk 4: Complexity**
- Mitigation: Use battle-tested CRDT libraries
- Comprehensive documentation
- Clear migration guide

## Success Criteria
- 100-clone collision test passes without failures
- Formal proof of convergence properties
- Performance within 2x of current system
- Zero manual conflict resolution required
- Backward compatible with v1.x databases

## Timeline
18-20 weeks total (4-5 months)

## References
- Automerge: https://automerge.org
- Yjs: https://docs.yjs.dev
- Loro: https://loro.dev
- CRDT theory: Shapiro et al, A comprehensive study of CRDTs
- Related issues: bd-e6d71828, bd-7a2b58fc, bd-81abb639


Dogfood: Migrate beads repo to hash IDs

Final validation: migrate the beads project itself to hash-based IDs.

## Purpose
Dogfooding the migration on beads' own issue database to:
1. Validate migration tool works on real data
2. Discover edge cases
3. Verify all workflows still work
4. Build confidence for users

## Pre-Migration Checklist
- [ ] All bd-f8b764c9 child tasks completed
- [ ] All tests pass: `go test ./...`
- [ ] Migration tool tested on test databases
- [ ] Documentation updated
- [ ] MCP server updated and published
- [ ] Clean git status

## Migration Steps

### 1. Create Backup
```bash
# Backup database
cp -r .beads .beads.backup-1761798568

# Backup JSONL
cp .beads/beads.jsonl .beads/beads.jsonl.backup

# Create git branch for migration
git checkout -b hash-id-migration
git add .beads.backup-*
git commit -m "Pre-migration backup"
```

### 2. Run Migration (Dry Run)
```bash
bd migrate --hash-ids --dry-run > migration-plan.txt
cat migration-plan.txt

# Review:
# - Number of issues to migrate
# - Hash collision check (should be zero)
# - Text reference updates
# - Dependency updates
```

### 3. Run Migration (Real)
```bash
bd migrate --hash-ids 2>&1 | tee migration-log.txt

# Expected output:
# ✓ Backup created: .beads/beads.db.backup-1234567890
# ✓ Generated 150 hash IDs
# ✓ No hash collisions detected
# ✓ Updated issues table schema
# ✓ Updated 150 issue IDs
# ✓ Updated 87 dependencies
# ✓ Updated 234 text references
# ✓ Exported to .beads/beads.jsonl
# ✓ Migration complete!
```

### 4. Validation

#### Database Integrity
```bash
# Check all issues have hash IDs
bd list | grep -v "bd-[a-f0-9]\{8\}" && echo "FAIL: Non-hash IDs found"

# Check all issues have aliases
sqlite3 .beads/beads.db "SELECT COUNT(*) FROM issues WHERE alias IS NULL"
# Should be 0

# Check no alias duplicates
sqlite3 .beads/beads.db "SELECT alias, COUNT(*) FROM issues GROUP BY alias HAVING COUNT(*) > 1"
# Should be empty
```

#### Functionality Tests
```bash
# Test show by hash ID
bd show bd-

# Test show by alias
bd show #1

# Test create new issue
bd create "Test issue after migration" -p 2
# Should get hash ID + alias

# Test update
bd update #1 --priority 1

# Test dependencies
bd dep tree #1

# Test export
bd export
git diff .beads/beads.jsonl
# Should show hash IDs
```

#### Text Reference Validation
```bash
# Check that old IDs were updated in descriptions
grep -r "bd-[0-9]\{1,3\}[^a-f0-9]" .beads/beads.jsonl && echo "FAIL: Old ID format found"

# Verify hash ID references exist
grep -o "bd-[a-f0-9]\{8\}" .beads/beads.jsonl | sort -u | wc -l
# Should match number of hash IDs
```

### 5. Commit Migration
```bash
git add .beads/beads.jsonl .beads/beads.db
git commit -m "Migrate to hash-based IDs (v2.0)

- Migrated 150 issues to hash IDs
- Preserved aliases (#1-#150)
- Updated 87 dependencies
- Updated 234 text references
- Zero hash collisions

Migration log: migration-log.txt"

git push origin hash-id-migration
```

### 6. Create PR
```bash
gh pr create --title "Migrate to hash-based IDs (v2.0)" --body "## Summary
Migrates beads project to hash-based IDs as part of v2.0 release.

## Migration Stats
- Issues migrated: 150
- Dependencies updated: 87
- Text references updated: 234
- Hash collisions: 0
- Aliases assigned: 150

## Validation
- ✅ All tests pass
- ✅ Database integrity verified
- ✅ All workflows tested (show, update, create, deps)
- ✅ Text references updated correctly
- ✅ Export produces valid JSONL

## Files Changed
- `.beads/beads.jsonl` - Hash IDs in all entries
- `.beads/beads.db` - Schema updated with aliases

## Rollback
If issues arise:
\`\`\`bash
mv .beads.backup-1234567890 .beads
bd export
\`\`\`

See migration-log.txt for full details."
```

### 7. Merge and Cleanup
```bash
# After PR approval
git checkout main
git merge hash-id-migration
git push origin main

# Tag release
git tag v2.0.0
git push origin v2.0.0

# Cleanup
rm migration-log.txt migration-plan.txt
git checkout .beads.backup-*  # Keep in git history
```

## Rollback Procedure
If migration fails or has issues:

```bash
# Restore backup
mv .beads .beads.failed-migration
mv .beads.backup-1234567890 .beads

# Regenerate JSONL
bd export

# Verify restoration
bd list
git diff .beads/beads.jsonl

# Cleanup
git checkout hash-id-migration
git reset --hard main
```

## Post-Migration Communication

### GitHub Issue/Discussion
```markdown
## Beads v2.0 Released: Hash-Based IDs

We've migrated beads to hash-based IDs! 🎉

**What changed:**
- Issues now use hash IDs (bd-af78e9a2) instead of sequential (bd-cb64c226.3)
- Human-friendly aliases (#42) for easy reference
- Zero collision risk in distributed workflows

**Action required:**
If you have a local clone, you need to migrate:

\`\`\`bash
git pull origin main
bd migrate --hash-ids
git push origin main
\`\`\`

See MIGRATION.md for details.

**Benefits:**
- ✅ No more ID collisions
- ✅ Work offline without coordination
- ✅ Simpler codebase (-2,100 LOC)

Questions? Reply here or see docs/HASH_IDS.md
```

## Success Criteria
- [ ] Migration completes without errors
- [ ] All validation checks pass
- [ ] PR merged to main
- [ ] v2.0.0 tagged and released
- [ ] Documentation updated
- [ ] Community notified
- [ ] No rollback needed within 1 week

## Files to Create
- migration-log.txt (transient)
- migration-plan.txt (transient)

## Timeline
Execute after all other bd-f8b764c9 tasks complete (estimated: ~8 weeks from start)


Duplicate safety check message when confirmation required


Fix multi-round convergence for N-way collisions

## Problem

N-way collision resolution is working (IDs get remapped correctly), but clones don't fully converge after a single final pull. Each clone is missing some issues that other clones have.

From TestFiveCloneCollision results:
- Clone A has: A, B
- Clone B has: A, B
- Clone C has: A, B, C
- Clone D has: A, B, C, D
- Clone E has: A, B, C, E

**Expected**: All clones should have A, B, C, D, E after final pull.

## Root Cause

The current sync workflow does:
1. Each clone syncs in order (resolving collisions locally)
2. Final pull to get all changes

But the final pull itself may need import with collision resolution, which creates new commits. These new commits aren't propagated to other clones, so they remain incomplete.

## Proposed Solution

**Option 1: Multi-round final sync**
- After final pull, do additional sync rounds until all clones converge
- Check convergence by comparing issue counts or content hashes
- Maximum N rounds for N clones

**Option 2: Iterative pull-import-push**
- Each clone: pull → import with --resolve-collisions → push
- Repeat until no new changes
- Guaranteed convergence but may create commit spam

**Option 3: Fix auto-import to be truly idempotent**
- Ensure importing same JSONL multiple times produces no new commits
- May require smarter content-based deduplication

## Acceptance Criteria

- TestFiveCloneCollision passes without t.Skip
- All N clones have all N issues after convergence
- Convergence happens in bounded rounds (≤ N)
- No data loss or duplication
- Works for arbitrary N (tested with 5, 10 clones)

## Impact

This is the final blocker for bd-cbed9619 epic completion.


Test basic bd commands in WASM (init, create, list)

Compile and verify basic bd functionality works in WASM:
- Test bd init --quiet
- Test bd create with simple issue
- Test bd list --json output
- Verify SQLite database creation and queries work
- Document any runtime issues or workarounds needed


Fix transaction conflict in TryResurrectParent

Integration test TestImportWithDeletedParent fails with 'database is locked' error when resurrection happens inside CreateIssue.

Root cause: TryResurrectParent calls conn.Get() and insertIssue() which conflicts with existing transaction in CreateIssue.

Error: failed to create tombstone for parent bd-parent: failed to insert issue: sqlite3: database is locked

Solution: Refactor resurrection to accept optional transaction parameter, use existing transaction when available instead of creating new connection.

Impact: Blocks resurrection from working in CreateIssue flow, only works in EnsureIDs (which may not have active transaction).


Add command injection prevention tests for git rm in merge command

Test coverage gap identified by automated analysis (vc-217).

**Original Issue:** [deleted:bd-da96-baseline-lint]

In cmd/bd/merge.go:121, exec.Command is called with variable fullPath, flagged by gosec G204 for potential command injection.

Add tests covering:
- File paths with shell metacharacters (;, |, &, $, etc.)
- Paths with spaces and special characters
- Paths attempting command injection (e.g., 'file; rm -rf /')
- Validation that fullPath is properly sanitized
- Only valid git-tracked files can be removed

This is a critical security path preventing arbitrary command execution.

_This issue was automatically created by AI test coverage analysis._


~/src/beads daemon has 'sql: database is closed' errors - zombie daemon


Fix compact --analyze/--apply error messages to clarify direct mode requirement

**Problem:**
When users run `bd compact --analyze` with daemon running, they get:
```
Error: compact requires SQLite storage
```

This is misleading because they ARE using SQLite (via daemon), but the command needs DIRECT SQLite access.

**Current behavior:**
- Error message suggests they don't have SQLite
- No hint about using --no-daemon flag
- Related to issue #349 item #1

**Proposed fix:**
1. Update error messages in cmd/bd/compact.go lines 106-114 (analyze) and 121-137 (apply)
2. Add explicit hint: "Use --no-daemon flag to bypass daemon"
3. Change SQLite check error from "requires SQLite storage" to "failed to open database in direct mode"

**Files to modify:**
- cmd/bd/compact.go (lines ~106-137)

**Testing:**
- Run with daemon: `bd compact --analyze` should show clear error + hint
- Run with --no-daemon: `bd compact --analyze --no-daemon` should work
- Verify error message is actionable


Extract duplicated metadata update code in daemon_sync.go

## Problem
The same 22-line metadata update block appears identically in both:
- createExportFunc (lines 309-328)
- createSyncFunc (lines 520-539)

This violates DRY principle and makes maintenance harder.

## Solution
Extract to helper function:

```go
// updateExportMetadata updates last_import_hash and related metadata after a successful export.
// This prevents "JSONL content has changed since last import" errors on subsequent exports (bd-ymj fix).
func updateExportMetadata(ctx context.Context, store storage.Storage, jsonlPath string, log daemonLogger) {
    currentHash, err := computeJSONLHash(jsonlPath)
    if err != nil {
        log.log("Warning: failed to compute JSONL hash for metadata update: %v", err)
        return
    }

    if err := store.SetMetadata(ctx, "last_import_hash", currentHash); err != nil {
        log.log("Warning: failed to update last_import_hash: %v", err)
    }

    exportTime := time.Now().Format(time.RFC3339)
    if err := store.SetMetadata(ctx, "last_import_time", exportTime); err != nil {
        log.log("Warning: failed to update last_import_time: %v", err)
    }

    // Store mtime for fast-path optimization
    if jsonlInfo, statErr := os.Stat(jsonlPath); statErr == nil {
        mtimeStr := fmt.Sprintf("%d", jsonlInfo.ModTime().Unix())
        if err := store.SetMetadata(ctx, "last_import_mtime", mtimeStr); err != nil {
            log.log("Warning: failed to update last_import_mtime: %v", err)
        }
    }
}
```

## Files
- cmd/bd/daemon_sync.go

## Benefits
- Easier maintenance
- Single source of truth
- Consistent behavior


Set up WASM build pipeline

Configure Go→WASM compilation pipeline. Child of epic bd-44d0.

## Tasks
- [ ] Create build-wasm.sh script (GOOS=js GOARCH=wasm)
- [ ] Test basic WASM module loading in Node.js
- [ ] Set up wasm_exec.js wrapper
- [ ] Add WASM build to CI/CD
- [ ] Document build process

## Validation
- bd.wasm compiles successfully
- Can load in Node.js without errors
- Bundle size <10MB


Extract SQLite migrations into separate files

The file `internal/storage/sqlite/sqlite.go` is 2,136 lines and contains 11 sequential migrations alongside core storage logic. Extract migrations into a versioned system.

Current issues:
- 11 migration functions mixed with core logic
- Hard to see migration history
- Sequential migrations slow database open
- No clear migration versioning

Migration functions to extract:
- `migrateDirtyIssuesTable()`
- `migrateIssueCountersTable()`
- `migrateExternalRefColumn()`
- `migrateCompositeIndexes()`
- `migrateClosedAtConstraint()`
- `migrateCompactionColumns()`
- `migrateSnapshotsTable()`
- `migrateCompactionConfig()`
- `migrateCompactedAtCommitColumn()`
- `migrateExportHashesTable()`
- Plus 1 more (11 total)

Target structure:
```
internal/storage/sqlite/
├── sqlite.go          # Core storage (~800 lines)
├── schema.go          # Table definitions (~200 lines)
├── migrations.go      # Migration orchestration (~200 lines)
└── migrations/        # Individual migrations
    ├── 001_initial_schema.go
    ├── 002_dirty_issues.go
    ├── 003_issue_counters.go
    [... through 011_export_hashes.go]
```

Benefits:
- Clear migration history
- Each migration self-contained
- Easier to review migration changes in PRs
- Future migrations easier to add


Split internal/rpc/server.go into focused modules

The file `internal/rpc/server.go` is 2,273 lines with 50+ methods, making it difficult to navigate and prone to merge conflicts. Split into 8 focused files with clear responsibilities.

Current structure: Single 2,273-line file with:
- Connection handling
- Request routing
- All 40+ RPC method implementations
- Storage caching
- Health checks & metrics
- Cleanup loops

Target structure:
```
internal/rpc/
├── server.go          # Core server, connection handling (~300 lines)
├── methods_issue.go   # Issue operations (~400 lines)
├── methods_deps.go    # Dependency operations (~200 lines)
├── methods_labels.go  # Label operations (~150 lines)
├── methods_ready.go   # Ready work queries (~150 lines)
├── methods_compact.go # Compaction operations (~200 lines)
├── methods_comments.go # Comment operations (~150 lines)
├── storage_cache.go   # Storage caching logic (~300 lines)
└── health.go          # Health & metrics (~200 lines)
```

Migration strategy:
1. Create new files with appropriate methods
2. Keep `server.go` as main file with core server logic
3. Test incrementally after each file split
4. Final verification with full test suite


Beads commands operate on stale database without warning

All beads read operations should validate database is in sync with JSONL before proceeding.

**Current Behavior:**
- Commands can query/read from stale database
- Only mutation operations (like 'bd sync') check if JSONL is newer
- User gets incorrect results without realizing database is out of sync

**Expected Behavior:**
- All beads commands should have pre-flight check for database freshness
- If JSONL is newer than database, refuse to operate with error: "Database out of sync. Run 'bd import' first."
- Same safety check that exists for 'bd sync' should apply to ALL operations

**Impact:**
- Users make decisions based on incomplete/outdated data
- Silent failures lead to confusion (e.g., thinking issues don't exist when they do)
- Similar to running git commands on stale repo without being warned to pull

**Example:**
- Searched for bd-g9eu issue file: not found
- Issue exists in .beads/issues.jsonl (in git)
- Database was stale, but no warning was given
- Led to incorrect conclusion that issue was already closed/deleted

## Implementation Complete

**Phase 1: Created staleness check (cmd/bd/staleness.go)**
- ensureDatabaseFresh() function checks JSONL mtime vs last_import_time
- Returns error with helpful message when database is stale
- Auto-skips in daemon mode (daemon has auto-import)

**Phase 2: Added to all read commands**
- list, show, ready, status, stale, info, duplicates, validate
- Check runs before database queries in direct mode
- Daemon mode already protected via checkAndAutoImportIfStale()

**Phase 3: Code Review Findings**
See follow-up issues:
- bd-XXXX: Add warning when staleness check errors
- bd-YYYY: Improve CheckStaleness error handling
- bd-ZZZZ: Refactor redundant daemon checks (low priority)

**Testing:**
- Build successful: go build ./cmd/bd
- Binary works: ./bd --version
- Ready for manual testing

**Next Steps:**
1. Test with stale database scenario
2. Implement review improvements
3. Close issue when tests pass


RPC diagnostics: BD_RPC_DEBUG timing logs

Add lightweight diagnostic logging for RPC connection attempts:
- BD_RPC_DEBUG=1 prints to stderr:
  - Socket path being dialed
  - Socket exists check result
  - Dial start/stop time
  - Connection outcome
- Improve bd daemon --status messaging when lock not held

This helps field triage of connection issues without verbose daemon logs.


Rapid 3


Fix FOREIGN KEY constraint failures in AddComment and ApplyCompaction

The 'CloseIssue', 'UpdateIssueID', and 'RemoveLabel' methods were fixed in PR #348 to prevent foreign key constraint failures when operating on non-existent issues.

However, the Oracle identified two other methods that follow the same problematic pattern:
1. `AddComment` (in `internal/storage/sqlite/events.go`)
2. `ApplyCompaction` (in `internal/storage/sqlite/compact.go`)

These methods attempt to insert an event record after updating the issue, without verifying that the issue update actually affected any rows. This leads to a foreign key constraint failure if the issue does not exist.

We need to:
1. Create reproduction tests for these failure cases
2. Apply the same fix pattern: check `RowsAffected()` after the update, and return a proper "issue not found" error if it is 0, before attempting to insert the event.
3. Standardize the error message format to "issue %s not found" or "issue not found: %s" for consistency.


bd message: Fix inefficient client-side filtering for --unread-only


Handle unchecked errors (errcheck - 683 issues)

683 unchecked error returns, mostly in tests (Close, Rollback, RemoveAll). Many already excluded in config but still showing up.

Fixed all errcheck warnings in production code:
- Enabled errcheck linter (was disabled)
- Set tests: false in .golangci.yml to focus on production code
- Fixed 27 total errors in production code using Oracle guidance:
  * Database patterns: defer func() { _ = rows.Close() }() and defer func() { _ = tx.Rollback() }()
  * Best-effort closers: _ = store.Close(), _ = client.Close()
  * Proper error handling for file writes, fmt.Scanln(), os.Remove()
- All tests pass
- Only 2 "unused" linter warnings remain (not errcheck)


Jira import script (jira2jsonl.py)

Create a Python script to import Jira issues into beads JSONL format.

**Pattern**: Follow examples/github-import/gh2jsonl.py

**Features needed**:
- Fetch issues via Jira REST API with JQL queries
- Pagination handling (100 issues per request)
- Map Jira fields to beads fields (see schema mapping in epic)
- Set external_ref to Jira issue URL for re-sync
- Support both Jira Cloud and Server/Data Center APIs
- Read config from bd config (jira.url, jira.project, jira.api_token)

**Config-driven mapping**:
- jira.status_map.* for status conversion
- jira.type_map.* for issue type conversion
- jira.priority_map.* for priority conversion

**Usage**:
```bash
python jira2jsonl.py --project PROJ | bd import
# or
python jira2jsonl.py --jql 'project=PROJ AND status\!=Done' | bd import
```

**Output**: JSONL with external_ref set to Jira issue URL


Parent: bd-imj

Ensure deletions.jsonl is tracked in git (not ignored).

Update bd init and gitignore upgrade logic to:
1. NOT add deletions.jsonl to .gitignore
2. Ensure it is committed alongside beads.jsonl

The file must be in git for cross-clone propagation to work.

Acceptance criteria:
- bd init does not ignore deletions.jsonl
- Existing .gitignore files are not broken
- File appears in git status when modified