Add transaction boundaries for export metadata updates

## Problem
Metadata updates happen after export, but there's no transaction ensuring atomicity between:
1. JSONL file write (exportToJSONLWithStore)
2. Metadata update (updateExportMetadata)
3. Database mtime update (TouchDatabaseFile)

If process crashes between these steps, metadata will be inconsistent.

## Example Failure Scenario
```
1. Export to JSONL succeeds
2. [CRASH] Process killed before metadata update
3. Next export: "JSONL content has changed" error
4. User must run import to fix metadata
```

## Options

### Option 1: Tolerate Inconsistency (Current)
- Simple, no code changes
- Safe (worst case: need import before next export)
- Annoying for users if crashes are frequent

### Option 2: Add Write-Ahead Log
- Write metadata intent to temp file
- Complete operations
- Clean up temp file
- More complex, better guarantees

### Option 3: Store Metadata in JSONL Comments
- Add metadata as JSON comment in JSONL file
- Single atomic write
- Requires JSONL format change

### Option 4: Defensive Checks
- On startup, verify metadata matches JSONL
- Auto-fix if mismatch detected
- Simplest improvement

## Recommendation
Start with Option 4 (defensive checks), consider others if needed.

## Files
- cmd/bd/daemon_sync.go
- Possibly: cmd/bd/main.go (startup checks)

## Related
This is lower priority - current behavior is safe, just not ideal


Issue 2 to reopen


Create cmd/bd/daemon_watcher.go (~150 LOC)

Implement FileWatcher using fsnotify to watch JSONL file and git refs. Handle platform differences (inotify/FSEvents/ReadDirectoryChangesW). Include edge case handling for file rename, event storm, watcher failure.


Add error handling guidance for export metadata update failures

## Problem
The bd-ymj fix treats all metadata update failures as warnings:

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

But if metadata updates fail, the NEXT export will fail with "JSONL content has changed since last import".

## Questions
1. Should metadata failures be critical (return error)?
2. Should we implement retry logic?
3. Is warning acceptable (safe, just requires import before next export)?

## Current Behavior
- Metadata failure is silent (only logged)
- User won't know until next export fails
- Next export requires import first (safe but annoying)

## Recommendation
Add clear comment explaining the trade-off:

```go
// Note: Metadata update failures are treated as warnings, not errors.
// This is acceptable because the worst case is the next export will
// require an import first, which is safe and prevents data loss.
// Alternative: Make this critical and fail the export if metadata
// updates fail (but this makes exports more fragile).
if err := store.SetMetadata(ctx, "last_import_hash", currentHash); err != nil {
    log.log("Warning: failed to update last_import_hash: %v", err)
    log.log("Next export may require running 'bd import' first")
}
```

## Files
- cmd/bd/daemon_sync.go

## Decision Needed
Choose approach based on failure mode preferences


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


Registry has cross-process race condition

The global daemon registry (~/.beads/registry.json) can be corrupted when multiple daemons from different workspaces write simultaneously.

**Root cause:**
- Registry uses an in-process mutex but no file-level locking
- Register() and Unregister() release the mutex between read and write
- Multiple daemon processes can interleave their read-modify-write cycles

**Evidence:**
Found registry.json with double closing bracket: `]]` instead of `]`

**Fix options:**
1. Use file locking (flock/fcntl) around the entire read-modify-write cycle
2. Use atomic write pattern (write to temp file, rename)
3. Both (belt and suspenders)

**Files:**
- internal/daemon/registry.go:46-64 (readEntries)
- internal/daemon/registry.go:67-87 (writeEntries)
- internal/daemon/registry.go:90-108 (Register - the race window)


Update LINTING.md with current baseline

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


Test sync branch setup


Measure notification latency vs git sync

Benchmark end-to-end latency for status updates to propagate between agents using both methods.

Acceptance Criteria:
- Measure git sync latency (commit → push → pull → import)
- Measure Agent Mail latency (send_message → fetch_inbox)
- Document latency distribution (p50, p95, p99)
- Verify <100ms claim for Agent Mail
- Compare against 1-5s baseline for git

Success Metric: Agent Mail latency < 100ms, git sync latency > 1000ms

Latency benchmark completed. Results documented in latency_results.md:
- Git sync: 2000-5000ms (full cycle with network)
- Agent Mail: <100ms (HTTP API round-trip)
- Confirms 20-50x latency reduction claim


Missing test for IsExpiredTombstone edge cases

## Problem

The `IsExpiredTombstone()` function has several edge cases that aren't directly tested:

1. **Invalid DeletedAt timestamp** - Returns false (safety), but not tested
2. **ttl=0 fallback to DefaultTombstoneTTL** - Not tested directly
3. **Tombstone with empty DeletedAt** - Returns false, tested implicitly but not explicitly
4. **Clock skew grace period effect** - Not tested (would need time mocking)

## Current Test Coverage

The existing tests use `time.Now()` which makes them non-deterministic:
```go
DeletedAt: time.Now().Add(-24 * time.Hour).Format(time.RFC3339)
```

This works but doesn't test the expiration boundary precisely.

## Recommendation

Add explicit unit tests for `IsExpiredTombstone()`:

```go
func TestIsExpiredTombstone(t *testing.T) {
    tests := []struct {
        name      string
        status    string
        deletedAt string
        ttl       time.Duration
        expected  bool
    }{
        {"non-tombstone returns false", "open", "2024-01-01T00:00:00Z", 0, false},
        {"empty deleted_at returns false", "tombstone", "", 0, false},
        {"invalid timestamp returns false", "tombstone", "not-a-date", 0, false},
        {"within TTL returns false", "tombstone", time.Now().Add(-1*time.Hour).Format(time.RFC3339), 24*time.Hour, false},
        {"beyond TTL returns true", "tombstone", time.Now().Add(-48*time.Hour).Format(time.RFC3339), 24*time.Hour, true},
    }
    // ...
}
```

## Files
- internal/merge/merge.go:255-290
- internal/merge/merge_test.go (add TestIsExpiredTombstone)


Fix PR #319: Performance Improvements - CI failures and lint errors

PR #319 (Performance Improvements) has excellent performance optimizations but is blocked by CI failures.

## The PR
- URL: https://github.com/steveyegge/beads/pull/319
- Author: @rsnodgrass (Ryan)
- Claimed improvements: bd ready 20.5x faster (752ms → 36.6ms), startup 10.5x faster

## CI Failures

### Lint Errors (8 total)
1. cmd/bd/deletion_tracking.go:57 - unchecked os.Remove
2. cmd/bd/import.go:548 - unchecked os.RemoveAll
3. cmd/bd/message.go:205 - unchecked resp.Body.Close
4. cmd/bd/migrate_issues.go:633 - unchecked fmt.Scanln
5. cmd/bd/migrate_issues.go:701 - unchecked MarkFlagRequired
6. cmd/bd/migrate_issues.go:702 - unchecked MarkFlagRequired
7. cmd/bd/show.go:610 - gosec G104 unhandled error
8. cmd/bd/show.go:614 - gosec G104 unhandled error

### Test Failures
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"

This suggests the PR branch needs rebasing on current main.

## Required Work

### 1. Fix Lint Errors
Add proper error handling for all 8 flagged locations. Most can use _ = or log warnings.

### 2. Rebase on Current Main
The migration test failures indicate the branch is out of sync. Need to:
- git fetch upstream
- git rebase upstream/main
- Resolve any conflicts
- Verify tests pass locally

### 3. Verify CI Passes
- All lint checks green
- All tests pass (Linux, Windows, Nix)

## Optional Improvements
- Consider splitting into smaller PRs (core index, WASM cache, testing infra)
- Add documentation for benchmark usage
- Extract helper functions in doctor/perf.go for better testability

## Value
This PR delivers real performance improvements. The index optimization alone is worth merging quickly once CI is fixed.


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?


Fix TestTwoCloneCollision to compare content not timestamps

The test at beads_twoclone_test.go:204-207 currently compares full JSON output including timestamps, causing false negative failures.

Current behavior:
- Both clones converge to identical semantic content
- Clone A: test-2="Issue from clone A", test-1="Issue from clone B"
- Clone B: test-1="Issue from clone B", test-2="Issue from clone A"
- Titles match IDs correctly, no data corruption
- Only timestamps differ (expected and acceptable)

Fix needed:
- Replace exact JSON comparison with content-aware comparison
- Normalize or ignore timestamp fields when asserting convergence
- Test should PASS after this fix

This blocks completion of bd-71107098.


Optimize CLI test suite - eliminate redundant git init calls

Current: Each of 13 CLI tests calls git init (31s total). Solution: Use single test binary built once in init(), skip git operations where possible, or use mock filesystem.


GH#509: bd fails to find .beads from nested worktrees

findDatabaseInTree stops at worktree git root, missing .beads in parent repo. Should check git-common-dir and search past worktree root. See: https://github.com/steveyegge/beads/issues/509


Add warning when staleness check errors

## Problem

When ensureDatabaseFresh() calls CheckStaleness() and it errors (corrupted metadata, permission issues, etc.), we silently proceed with potentially stale data.

**Location:** cmd/bd/staleness.go:27-32

**Scenarios:**
- Corrupted metadata table
- Database locked by another process
- Permission issues reading JSONL file
- Invalid last_import_time format in DB

## Current Code

```go
isStale, err := autoimport.CheckStaleness(ctx, store, dbPath)
if err \!= nil {
    // If we can't determine staleness, allow operation to proceed
    // (better to show potentially stale data than block user)
    return nil
}
```

## Fix

```go
isStale, err := autoimport.CheckStaleness(ctx, store, dbPath)
if err \!= nil {
    fmt.Fprintf(os.Stderr, "Warning: Could not verify database freshness: %v\n", err)
    fmt.Fprintf(os.Stderr, "Proceeding anyway. Data may be stale.\n\n")
    return nil
}
```

## Impact
Medium - users should know when staleness check fails

## Effort
Easy - 5 minutes


Add test coverage for internal/validation package


Improve test coverage for internal/export (37.1% → 60%)

The export package has only 37.1% test coverage. Export functionality needs good coverage to ensure data integrity.

Current coverage: 37.1%
Target coverage: 60%


Consider consolidating config.yaml parsing into shared utility

Multiple places parse config.yaml with custom structs:

1. **autoimport.go:148** - `localConfig{SyncBranch}`
2. **main.go:310** - strings.Contains for no-db (fragile, see bd-r6k2)
3. **doctor.go:863** - strings.Contains for no-db (fragile, see bd-r6k2)
4. **internal/config/config.go** - Uses viper (but caches at startup, problematic for tests)

Consider creating a shared utility in `internal/configfile/` or extending the viper config:

```go
// internal/configfile/yaml.go
type YAMLConfig struct {
    SyncBranch string `yaml:"sync-branch"`
    NoDb       bool   `yaml:"no-db"`
    IssuePrefix string `yaml:"issue-prefix"`
    Author     string `yaml:"author"`
}

func LoadYAML(beadsDir string) (*YAMLConfig, error) {
    // Parse config.yaml with proper YAML library
}
```

Benefits:
- Single source of truth for config.yaml structure
- Proper YAML parsing everywhere
- Easier to add new config fields

Trade-off: May add complexity for simple one-off reads.


Test child issue


Improve test coverage for internal/compact (18.2% → 70%)

The compact package has only 18.2% test coverage. This is a core package handling issue compaction and should have at least 70% coverage.

Key functions needing tests:
- runCompactSingle (0%)
- runCompactAll (0%)
- runCompactRPC (0%)
- runCompactStatsRPC (0%)
- runCompactAnalyze (0%)
- runCompactApply (0%)
- pruneDeletionsManifest (0%)

Current coverage: 18.2%
Target coverage: 70%


Clean up merge conflict artifacts in .beads directory

After resolving merge conflicts in .beads/beads.jsonl, leftover artifacts remain as untracked files:
- .beads/beads.base.jsonl
- .beads/beads.left.jsonl

These appear to be temporary files created during merge conflict resolution.

Options to fix:
1. Add these patterns to .beads/.gitignore automatically
2. Clean up these files after successful merge resolution
3. Document that users should delete them manually
4. Add a check in 'bd sync' or 'bd doctor' to detect and remove stale merge artifacts

Preferred solution: Add *.base.jsonl and *.left.jsonl patterns to .beads/.gitignore during 'bd init', and optionally clean them up automatically after successful import.


Fix TestExportUpdatesMetadata to test actual daemon functions

## Problem
TestExportUpdatesMetadata (daemon_sync_test.go:296) manually replicates the metadata update logic rather than calling the fixed functions (createExportFunc/createSyncFunc).

This means:
- Test verifies the CONCEPT works
- But doesn't verify the IMPLEMENTATION in the actual daemon functions
- If daemon code is wrong, test still passes

## Current Test Flow
```go
// Test does:
exportToJSONLWithStore()  // ← Direct call
// ... manual metadata update ...
exportToJSONLWithStore()  // ← Direct call again
```

## Should Be
```go
// Test should:
createExportFunc(...)()  // ← Call actual daemon function
// ... verify metadata was updated by the function ...
createExportFunc(...)()  // ← Call again, should not fail
```

## Challenge
createExportFunc returns a closure that's run by the daemon. Testing this requires:
- Mock logger
- Proper context setup
- Git operations might need mocking

## Files
- cmd/bd/daemon_sync_test.go

## Acceptance Criteria
- Test calls actual createExportFunc and createSyncFunc
- Test verifies metadata updated by daemon code, not test code
- Both functions tested (export and sync)


Add is_tombstone flag to schema

Optionally add is_tombstone boolean field to issues table. Marks resurrected parents that were deleted. Allows distinguishing tombstones from normal deleted issues. Update schema.go and create migration.


Centralize error handling patterns in storage layer

80+ instances of inconsistent error handling across sqlite.go with mix of %w, %v, and no wrapping.

Location: internal/storage/sqlite/sqlite.go (throughout)

Problem:
- Some use fmt.Errorf("op failed: %w", err) - correct wrapping
- Some use fmt.Errorf("op failed: %v", err) - loses error chain
- Some return err directly - no context
- Hard to debug production issues
- Can't distinguish error types

Solution: Create internal/storage/sqlite/errors.go:
- Define sentinel errors (ErrNotFound, ErrInvalidID, etc.)
- Create wrapDBError(op string, err error) helper
- Convert sql.ErrNoRows to ErrNotFound
- Always wrap with operation context

Impact: Lost error context; inconsistent messages; hard to debug

Effort: 5-7 hours


Add tests for merge driver auto-config in bd init

Add comprehensive tests for the merge driver auto-configuration functionality in `bd init`.

**Test cases needed:**
- Auto-install in quiet mode
- Skip with --skip-merge-driver flag
- Detect already-installed merge driver
- Append to existing .gitattributes
- Interactive prompt behavior (if feasible)

**File:** `cmd/bd/init_test.go`


Wire config to import pipeline

Connect import.orphan_handling config to importer.go and sqlite validation functions. Pass mode flag through call chain. Implement all four modes (strict/resurrect/skip/allow) with proper error messages and logging.


bd prime: Detect ephemeral branches and adjust workflow output

When 'bd prime' runs on a branch with no upstream (ephemeral branch), it should output a different SESSION CLOSE PROTOCOL.

**Current output (wrong for ephemeral branches):**
```
[ ] 1. git status
[ ] 2. git add <files>
[ ] 3. bd sync
[ ] 4. git commit -m "..."
[ ] 5. bd sync
[ ] 6. git push
```

**Needed output for ephemeral branches:**
```
[ ] 1. git status
[ ] 2. git add <files>
[ ] 3. bd sync --from-main  (pull updates from main)
[ ] 4. git commit -m "..."
[ ] 5. (no push - branch is ephemeral)
```

**Detection:** `git rev-parse --abbrev-ref --symbolic-full-name @{u}` returns error code 128 if no upstream.

Also update Sync & Collaboration section to mention `bd sync --from-main` for ephemeral branches.

**Use case:** Gastown polecats work on ephemeral local branches that are never pushed. Their code gets merged to main via local merge, and beads changes stay local (communicated via gm mail to Overseer).


Delete server_cache_storage.go

Remove the entire cache implementation file (~286 lines)


Fix silent error handling in RPC response writing

Marshal and write errors silently ignored in writeResponse, can send partial JSON and hang clients.

Location: internal/rpc/server_lifecycle_conn.go:228-232

Problem:
- json.Marshal error ignored - cyclic reference sends corrupt JSON
- Write error ignored - connection closed, no indication to caller
- WriteByte error ignored - client hangs waiting for newline
- Flush error ignored - partial data buffered

Current code:
func (s *Server) writeResponse(writer *bufio.Writer, resp Response) {
    data, _ := json.Marshal(resp)  // Ignored!
    _, _ = writer.Write(data)      // Ignored!
    _ = writer.WriteByte('\n')     // Ignored!
    _ = writer.Flush()             // Ignored!
}

Solution: Return errors, handle in caller, close connection on error

Impact: Client hangs waiting for response; corrupt JSON sent

Effort: 1 hour


Make MCP compaction settings configurable (COMPACTION_THRESHOLD, PREVIEW_COUNT)

Currently COMPACTION_THRESHOLD (20) and PREVIEW_COUNT (5) are hardcoded constants at the module level. This prevents users from tuning context engineering behavior.

## Current State
```python
COMPACTION_THRESHOLD = 20  # Compact results with more than 20 issues
PREVIEW_COUNT = 5          # Show first 5 issues in preview
```

## Problems
1. No way for MCP clients to request different preview sizes
2. No way to disable compaction for debugging
3. No way to adapt to different context window sizes
4. Values are not documented in tool schema

## Recommended Solution
Add environment variables or MCP tool parameters:
- `BEADS_MCP_COMPACTION_THRESHOLD` env var (default: 20)
- `BEADS_MCP_PREVIEW_COUNT` env var (default: 5)
- Optional `compact_threshold` and `preview_size` parameters to list/ready tools

## Implementation Notes
- Keep current defaults for backward compatibility
- Read from environment at server initialization
- Document in CONTEXT_ENGINEERING.md
- Add tests verifying env var behavior


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.


Support Ubuntu 20.04 LTS (glibc compatibility issue)

Starting at v0.22, precompiled binaries require GLIBC 2.32+ which is not available on Ubuntu 20.04 LTS (Focal Fossa). Ubuntu 20.04 has GLIBC 2.31.

Error:
```
bd: /lib/x86_64-linux-gnu/libc.so.6: version `GLIBC_2.34' not found (required by bd)
bd: /lib/x86_64-linux-gnu/libc.so.6: version `GLIBC_2.32' not found (required by bd)
```

Current workarounds:
1. Upgrade to Ubuntu 22.04+
2. Build from source: `go build -o bd ./cmd/bd/`

Root cause: Go 1.24+ runtime requires newer glibc. CGO is already disabled in .goreleaser.yml.

Possible solutions:
- Pin Go version to 1.21 or 1.22 for releases
- Use Docker/cross-compile with older build environment
- Provide separate build for older distros
- Document minimum requirements clearly

Decision: Document minimum requirements in README instead of pinning Go version.

Rationale:
- Ubuntu 20.04 LTS standard support ended April 2025 (already EOL)
- Pinning Go prevents security fixes, performance improvements, and new features
- Users on EOL distros can upgrade OS or build from source
- Added Requirements section to README with clear glibc 2.32+ requirement


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.


Imperator lacks mail hooks for automatic notification


Comprehensive testing for separate branch workflow including unit tests, integration tests, and performance testing.

Tasks:
- Unit tests for worktree management
- Unit tests for config parsing
- Integration tests: create/update/close → beads branch
- Integration test: merge beads → main
- Integration test: protected branch scenario
- Integration test: network failure recovery
- Integration test: config change handling
- Manual testing guide
- Performance testing (worktree overhead)

Test scenarios: fresh setup, issue operations, merge workflow, protected branch, error handling, migration, multiple workspaces, sparse checkout

Estimated effort: 4-5 days

Completed comprehensive test coverage. Added 4 new integration tests: config change handling, multiple concurrent clones (3-way), performance testing (avg 77ms < 150ms target), and network failure recovery. All tests pass. Coverage includes fresh setup, issue ops, error handling, multiple workspaces, sparse checkout, config changes, network failures, and performance.


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)


Implement transaction retry logic for SQLITE_BUSY

BEGIN IMMEDIATE fails immediately on SQLITE_BUSY instead of retrying with exponential backoff.

Location: internal/storage/sqlite/sqlite.go:223-225

Problem:
- Under concurrent write load, BEGIN IMMEDIATE can fail with SQLITE_BUSY
- Current implementation fails immediately instead of retrying
- Results in spurious failures under normal concurrent usage

Solution: Implement exponential backoff retry:
- Retry up to N times (e.g., 5)
- Backoff: 10ms, 20ms, 40ms, 80ms, 160ms
- Check for context cancellation between retries
- Only retry on SQLITE_BUSY/database locked errors

Impact: Spurious failures under concurrent write load

Effort: 3 hours


Fix default .beads/.gitignore to ignore merge artifacts (GH #274)

Updated the default .gitignore template created by `bd init` to properly ignore merge artifacts and fix overly broad patterns.

Changes:
- Added `*.db?*` pattern for database files with query strings
- Added explicit patterns for merge artifacts: beads.{base,left,right}.{jsonl,meta.json}
- Changed `!*.jsonl` to `!issues.jsonl` to avoid including merge artifact JSONL files

This fixes GitHub issue #274 reported by rscorer.


Implement tombstone types and schema migration

Add tombstone fields to Issue struct (deleted_at, deleted_by, delete_reason, original_type), add StatusTombstone constant, create SQLite migration for new columns. Per design bd-2m7.


Add performance benchmarks for multi-repo hydration

The contributor-workflow-analysis.md asserts sub-second queries (line 702) and describes smart caching via file mtime tracking (Decision #4, lines 584-618), but doesn't provide concrete performance benchmarks.

VC's requirement (from VC feedback section):
- Executor polls GetReadyWork() every 5-10 seconds
- Queries must be sub-second (ideally <100ms)
- Smart caching must avoid re-parsing JSONLs on every query

Suggested performance targets to validate:
- File stat overhead: <1ms per repo
- Hydration (when needed): <500ms for typical JSONL (<25k)
- Query (from cache): <10ms
- Total GetReadyWork(): <100ms (VC's requirement)

Also test at scale:
- N=1 repo (baseline)
- N=3 repos (typical)
- N=10 repos (edge case)

These benchmarks are critical for library consumers like VC that run automated polling loops.


Add test coverage for internal/git package


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


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.


Production Readiness (Optional)

Enable multi-machine deployments with containerization and monitoring.


Migration and onboarding for multi-repo

Create migration tools, wizards, and documentation to help users adopt multi-repo workflow, with special focus on OSS contributor onboarding and team adoption scenarios.


Fix bd sync race condition with daemon causing dirty working directory

After bd sync completes with sync.branch mode, subsequent bd commands or daemon file watcher would see a hash mismatch and trigger auto-import, which then schedules re-export, dirtying the working directory.

**Root cause:**
1. bd sync exports JSONL with NEW content (hash H1)
2. bd sync updates jsonl_content_hash = H1 in DB
3. bd sync restores JSONL from HEAD (OLD content, hash H0)
4. Now: file hash = H0, DB hash = H1 (MISMATCH)
5. Daemon or next CLI command sees mismatch, imports from OLD JSONL
6. Import triggers re-export → file is dirty

**Fix:**
After restoreBeadsDirFromBranch(), update jsonl_content_hash to match the restored file's hash. This ensures daemon and CLI see file hash = DB hash → no spurious import/export cycle.

Related: bd-c83r (multiple daemon prevention)


Use -short flag in CI for PR checks

Update CI configuration to use -short flag for PR checks, run full tests nightly.

The slow tests already support testing.Short() and will be skipped.

Expected savings: ~20 seconds for PR checks (fast tests only)

Implementation:
- Update .github/workflows/ci.yml to add -short flag for PR tests
- Create/update nightly workflow for full test runs
- Update README/docs about test strategy

File: .github/workflows/ci.yml:30


Add MCP functions for repair commands

Add repair commands to beads-mcp for agent access:
- beads_resolve_conflicts()
- beads_find_duplicates()
- beads_detect_pollution()
- beads_validate()

Files: integrations/beads-mcp/src/beads_mcp/server.py


Consider central serialization package for JSON handling

Multiple parts of the codebase handle JSON serialization of issues with slightly different approaches. Consider creating a centralized serialization package to ensure consistency.

Current serialization locations:
- `cmd/bd/export.go` - JSONL export (issues to file)
- `cmd/bd/import.go` - JSONL import (file to issues)
- `internal/rpc/protocol.go` - RPC JSON marshaling
- `internal/storage/memory/memory.go` - In-memory marshaling

Potential benefits:
- Single source of truth for JSON format
- Consistent field naming
- Easier to add new fields
- Centralized validation

Note: This is marked **optional** because:
- Current serialization mostly works
- May not provide enough benefit to justify refactor
- Risk of breaking compatibility

Decision point: Evaluate if benefits outweigh refactoring cost

Impact: TBD based on investigation - may defer to future work


Git history fallback has incorrect logic for detecting deletions

## Problem

The `wasInGitHistory` function in `internal/importer/importer.go:891` returns true if the ID is found **anywhere** in git history. But finding an ID in history doesn't necessarily mean it was deleted - it could mean:

1. The issue was added (appears in a commit adding it)
2. The issue was modified (appears in commits updating it)
3. The issue was deleted (appears in a commit removing it)

The current logic incorrectly treats all three cases as 'deleted'.

## Correct Logic

`git log -S` with `--oneline` shows commits where the string was added OR removed. To detect deletion specifically:

1. ID appears in git history (was once in JSONL)
2. ID is NOT currently in JSONL

The second condition is already checked by the caller (`purgeDeletedIssues`), so technically the logic is correct in context. But the function name and doc comment are misleading.

## Fix Options

1. **Rename function** to `wasEverInJSONL` and update doc comment to clarify
2. **Add explicit check** for current JSONL state in the function itself

Option 1 is simpler and correct since caller already filters.


GH#519: bd sync fails when sync.branch equals current branch

bd sync tries to create worktree when sync.branch matches current checkout, fails with 'already used by worktree'. Should detect and commit directly. See: https://github.com/steveyegge/beads/issues/519


bd-hv01: Non-atomic snapshot operations can cause data loss

## Problem
In sync.go:146-155 and daemon_sync.go:502-505, snapshot capture failures are logged as warnings but sync continues:

```go
if err := exportToJSONL(ctx, jsonlPath); err != nil { ... }
if err := captureLeftSnapshot(jsonlPath); err != nil {
    fmt.Fprintf(os.Stderr, "Warning: failed to capture snapshot...")
}
```

If export succeeds but snapshot capture fails, the merge uses stale snapshot data, potentially deleting wrong issues.

## Impact
- Critical data integrity issue
- Could delete issues incorrectly during multi-workspace sync

## Fix
Make snapshot capture mandatory:
```go
if err := captureLeftSnapshot(jsonlPath); err != nil {
    return fmt.Errorf("failed to capture snapshot (required for deletion tracking): %w", err)
}
```

## Files Affected
- cmd/bd/sync.go:146-155
- cmd/bd/daemon_sync.go:502-505


Merge timestamp tie-breaker should prefer local (left)

In mergeFieldByUpdatedAt, when timestamps are exactly equal, right wins. For consistency with IssueType (where local/left wins), equal timestamps should prefer left. Minor inconsistency.


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


Fix: --parent flag doesn't create parent-child dependency

When using `bd create --parent <id>`, the code generates a hierarchical child ID (e.g., bd-123.1) but never creates a parent-child dependency. This causes `bd epic status` to show zero children even though child issues exist.

Root cause: create.go generates child ID using store.GetNextChildID() but never calls store.AddDependency() with type parent-child.

Fix: After creating the issue when parentID is set, automatically add a parent-child dependency linking child -> parent.


Enhance dep tree to show full dependency graph

When running `bd dep tree <issue-id>`, the current output only shows the issue itself without its dependency relationships.

## Current Behavior

```
$ bd dep tree gt-0iqq
🌲 Dependency tree for gt-0iqq:

→ gt-0iqq: Implement Boss (global overseer) [P2] (open)
```

This doesn't show any of the dependency structure.

## Desired Behavior

Show the full dependency DAG rooted at the given issue. For example:

```
$ bd dep tree gt-0iqq
🌲 Dependency tree for gt-0iqq:

gt-0iqq: Implement Boss (global overseer) [P2] (open)
├── gt-0xh4: Boss session management [P2] (open) [READY]
│   ├── gt-le7c: Boss mail identity [P2] (open)
│   │   ├── gt-r8fe: Boss human escalation queue [P2] (open)
│   │   └── gt-vdak: Boss dispatch loop [P2] (open)
│   │       └── gt-kgy6: Boss resource management [P2] (open)
│   │           └── gt-93iv: Boss wake daemon [P2] (open)
│   └── gt-vdak: (shown above)
```

## Suggested Options

- `--direction=down|up|both` - Show dependents (what this blocks), dependencies (what blocks this), or both
- `--status=open` - Filter to only show issues with a given status
- `--depth=N` - Limit tree depth
- Handle DAG cycles gracefully (show "(shown above)" or similar for already-displayed nodes)

## Use Case

When reorganizing a set of related issues (like I just did with the Boss implementation), being able to visualize the full dependency graph helps verify the structure is correct before syncing.


Export doesn't update last_import_hash metadata causing perpetual 'JSONL content has changed' errors

After a successful export, the daemon doesn't update last_import_hash or last_import_mtime metadata. This causes hasJSONLChanged to return true on the next export attempt, blocking with 'refusing to export: JSONL content has changed since last import'.

Related to GH #334.

Scenario:
1. Daemon exports successfully → JSONL updated, hash changes
2. Metadata NOT updated (last_import_hash still points to old hash)
3. Next mutation triggers export
4. validatePreExport calls hasJSONLChanged
5. hasJSONLChanged sees current JSONL hash != last_import_hash
6. Export blocked with 'JSONL content has changed since last import'
7. Issue stuck: can't export, can't make progress

This creates a catch-22 where the system thinks JSONL changed externally when it was the daemon itself that changed it.

Current behavior:
- Import updates metadata (import.go:310-336)
- Export does NOT update metadata (daemon_sync.go:307)
- Result: metadata becomes stale after every export


Migration guide documentation

Write comprehensive migration guide covering: OSS contributor workflow, team workflow, multi-phase development, multiple personas. Include step-by-step instructions, troubleshooting, and backward compatibility notes.


Address gosec security warnings (102 issues)

Security linter warnings: file permissions (0755 should be 0750), G304 file inclusion via variable, G204 subprocess launches. Many are false positives but should be reviewed.


Fix remaining FK constraint failures in AddComment and ApplyCompaction

Follow-up to PR #348 (Fix FOREIGN KEY constraint failed).

The initial fix addressed CloseIssue, UpdateIssueID, and RemoveLabel.
However, `AddComment` (in internal/storage/sqlite/events.go) and `ApplyCompaction` (in internal/storage/sqlite/compact.go) still suffer from the same pattern: inserting an event after an UPDATE without verifying the UPDATE affected any rows.

This causes "FOREIGN KEY constraint failed" errors when operating on non-existent issues, instead of clean "issue not found" errors.

Task:
1. Apply the same fix pattern to `AddComment` and `ApplyCompaction`: check RowsAffected() after UPDATE and before event INSERT.
2. Ensure error messages are consistent ("issue %s not found").
3. Verify with reproduction tests (create a test that calls these methods with a non-existent ID).


Split test suites: fast vs. integration

Reorganize tests into separate packages/files for fast unit tests vs slow integration tests.

Benefits:
- Clear separation of concerns
- Easier to run just fast tests during development
- Can parallelize CI jobs better

Files to organize:
- beads_hash_multiclone_test.go (slow integration tests)
- beads_integration_test.go (medium-speed integration tests)
- Other test files (fast unit tests)


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


Document CompactedResult response format in CONTEXT_ENGINEERING.md

The CompactedResult is a new response format that MCP clients need to understand, but it's not documented in CONTEXT_ENGINEERING.md.

## What's Missing
- Example CompactedResult JSON response
- How to detect if a result is compacted
- How to request full results (disable compaction or increase limit)
- Guidance on handling both list[IssueMinimal] and CompactedResult return types
- Migration guide for clients expecting list[Issue] from ready() and list()

## Documentation Gaps
Currently CONTEXT_ENGINEERING.md explains the optimization strategy but doesn't show:
1. Sample CompactedResult response
2. Client-side code examples for handling compaction
3. When compaction is triggered (>20 results)
4. How to get all results if needed

## Suggested Additions
Add new section \"Handling Large Result Sets\" with:
- CompactedResult schema documentation
- Python client example for handling both response types
- Guidance on re-issuing queries with better filters


VCS-agnostic sync support

Make bd sync work with multiple VCS types (git, jujutsu, mercurial, sapling) by detecting VCS per repo and using appropriate sync commands, supporting mixed-VCS multi-repo configs.


Review PR #514: fix plugin install docs

Review and merge PR #514 from aspiers. This PR fixes incorrect docs for installing Claude Code plugin from source in docs/PLUGIN.md. Clarifies shell vs Claude Code commands and fixes the . vs ./beads argument issue. URL: https://github.com/anthropics/beads/pull/514


Update Metrics and Health Endpoints

Remove cache-related metrics from health/metrics endpoints


Code Review: PR #551 - Persist close_reason to issues table

Code review of PR #551 which fixes close_reason persistence bug.

## Summary
The PR correctly fixes a bug where close_reason was only stored in the events table, not in the issues.close_reason column. This caused `bd show --json` to return empty close_reason.

## What Was Fixed
- ✅ CloseIssue now updates both close_reason and closed_at
- ✅ ReOpenIssue clears both close_reason and closed_at
- ✅ Comprehensive tests added for both storage and CLI layers
- ✅ Clear documentation in queries.go about dual storage strategy

## Quality Assessment
✅ Tests cover both storage layer and CLI JSON output
✅ Handles reopen case (clearing close_reason)
✅ Good comments explaining dual-storage design
✅ No known issues

## Potential Followups
See linked issues for suggestions.


Add tests for Comments API (AddIssueComment, GetIssueComments)

Comments API currently has 0% coverage. Need tests for:
- AddIssueComment - adding comments to issues
- GetIssueComments - retrieving comments
- Comment ordering and pagination
- Edge cases (non-existent issues, empty comments)


Code Health & Technical Debt Cleanup

Comprehensive codebase cleanup to remove dead code, refactor monolithic files, deduplicate utilities, and improve maintainability. Based on ultrathink code health analysis conducted 2025-10-27.

Goals:
- Remove ~1,500 LOC of dead/unreachable code
- Split 2 monolithic files (server.go 2,273 LOC, sqlite.go 2,136 LOC) into focused modules
- Deduplicate scattered utility functions (normalizeLabels, BD_DEBUG checks)
- Consolidate test coverage (2,019 LOC of collision tests)
- Improve code navigation and reduce merge conflicts

Impact: Reduces codebase by ~6-8%, improves maintainability, faster CI/CD

Estimated Effort: 11 days across 4 phases


bd message: Improve type safety with typed parameter structs


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.


Deletions not propagated across multi-workspace sync

## Problem

When working with multiple beads workspaces (clones) sharing the same git remote, deleted issues keep coming back.

## Reproduction

1. Clone A deletes issue `bd-xyz` via `bd delete bd-xyz --force`
2. Clone A daemon syncs and pushes to GitHub
3. Clone B still has `bd-xyz` in its database
4. Clone B daemon exports and pushes its JSONL
5. Clone A pulls and imports → `bd-xyz` comes back!

## Root Cause

**No deletion tracking mechanism.** The system has no way to distinguish between:
- "Issue doesn't exist in JSONL because it was deleted"
- "Issue doesn't exist in JSONL because the export is stale"

Import treats missing issues as "not in this export" rather than "explicitly deleted."

## Solution Options

1. **Tombstone records** - Keep deleted issues in JSONL with `"status":"deleted"` or `"deleted_at"` field
2. **Deletion log** - Separate `.beads/deletions.jsonl` file tracking all deleted IDs
3. **Three-way merge** - Import compares: DB state, old JSONL, new JSONL
4. **Manual conflict resolution** - Detect resurrection and prompt user

## Related

- Similar to resurrection logic for orphaned children (bd-cc4f)
- beads-merge tool handles this better with 3-way merge


## 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-0dcea000, bd-4d7fca8a, bd-6221bdcd


BG's issue to reopen


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)


bd resolve-conflicts - Git merge conflict resolver

Automatically resolve JSONL merge conflicts.

Modes:
- Mechanical: ID remapping (no AI)
- AI-assisted: Smart merge/keep decisions
- Interactive: Review each conflict

Handles <<<<<<< conflict markers in .beads/beads.jsonl

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


bd-hv01: Add comprehensive edge case tests for deletion tracking

Need to add tests for: corrupted snapshot file, stale snapshot (> 1 hour), concurrent sync operations (daemon + manual), partial deletion failure, empty remote JSONL, multi-repo mode with deletions, git worktree scenario.

Also refine TestDeletionWithLocalModification to check for specific conflict error instead of accepting any error.

Files: cmd/bd/deletion_tracking_test.go


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)


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.


Extract daemon config functions to daemon_config.go


Need --no-git-history flag to disable git history backfill during import

During JSONL migration (beads.jsonl → issues.jsonl), the git history backfill mechanism causes data loss by finding issues in the old beads.jsonl git history and incorrectly treating them as deleted.

A --no-git-history flag for 'bd import' and 'bd sync' would allow users to disable the git history fallback when it's causing problems.

Use cases:
- JSONL filename migrations
- Repos with complex git history
- Debugging import issues
- Performance (skip slow git scans)

Related: bd-0gh (migration causes spurious deletions)


bd sync --squash: batch multiple syncs into single commit

For solo developers who don't need real-time multi-agent coordination, add a --squash option to bd sync that accumulates changes and commits them in a single commit rather than one commit per sync.

This addresses the git history pollution concern (many 'bd sync: timestamp' commits) while preserving the default behavior needed for orchestration.

**Proposed behavior:**
- `bd sync --squash` accumulates pending exports without committing
- Commits accumulated changes on session end or explicit `bd sync` (without --squash)
- Default behavior unchanged (immediate commits for orchestration)

**Use case:** Solo developers who want cleaner git history but don't need real-time coordination between agents.

**Related:** PR #411 (docs: reduce bd sync commit pollution)
**See also:** Multi-repo support as alternative solution (docs/MULTI_REPO_AGENTS.md)


Document bd edit command and verify MCP exclusion

Follow-up from PR #152:
1. Add "bd edit" to AGENTS.md with "Humans only" note
2. Verify MCP server doesn't expose bd edit command
3. Consider adding test for command registration


Rapid 4


Add .beads/README.md during 'bd init' for project documentation and promotion

When 'bd init' is run, automatically generate a .beads/README.md file that:

1. Briefly explains what Beads is (AI-native issue tracking that lives in your repo)
2. Links to the main repository: https://github.com/steveyegge/beads
3. Provides a quick reference of essential commands:
   - bd create: Create new issues
   - bd list: View all issues
   - bd update: Modify issue status/details
   - bd show: View issue details
   - bd sync: Sync with git remote
4. Highlights key benefits for AI coding agents and developers
5. Encourages developers to try it out

The README should be enthusiastic and compelling to get open source contributors excited about using Beads for their AI-assisted development workflows.


Implement `bd setup cursor` for Cursor IDE integration

Create a `bd setup cursor` command that integrates Beads workflow into Cursor IDE via .cursorrules file. Unlike Claude Code (which has hooks), Cursor uses a static rules file to provide context to its AI.


Proposal: Custom status states via config

Proposal to add 'custom status states' via `bd config`.
Users could define an optional issue status enum (e.g., awaiting_review, review_in_progress) in the config.
This would enable multi-step pipelines to process issues where each step correlates to a specific status.

Examples:
- awaiting_verification
- awaiting_docs
- awaiting_testing


Issue 1


Vendor beads-merge Go code into internal/merge/

Copy beads-merge source code from @neongreen's repo into bd codebase.

**Tasks**:
- Create `internal/merge/` package
- Copy merge algorithm code
- Add attribution header to all files
- Update imports to use bd's internal types
- Add LICENSE/ATTRIBUTION file crediting @neongreen
- Keep original algorithm intact

**Source**: https://github.com/neongreen/mono/tree/main/beads-merge


Database import silently fails when daemon version != CLI version


Add Claude Code web installation docs to README

GH #439 reported installation issues in Claude Code web environment. The go install fallback works, but users need guidance. Add a section to README documenting the workaround: go install + PATH export.


bd doctor should detect fresh clone and recommend 'bd init'

When running `bd doctor` on a fresh clone (JSONL exists, no .db file), it should:

1. Detect this is a fresh clone situation
2. Recommend `bd init --prefix <detected-prefix>` as the fix
3. Show the prefix detected from the JSONL file

Currently it shows various warnings (git hooks, merge driver, etc.) but doesn't address the fundamental issue: the database needs to be hydrated.


Batch test 1


MCP server loses workspace context after Amp restart - causes silent failures

**CRITICAL BUG**: The beads MCP server loses workspace context when Amp restarts, leading to silent failures and potential data corruption.

## Reproduction
1. Start Amp with beads MCP server configured
2. Call `mcp__beads__set_context(workspace_root="/path/to/project")`
3. Use MCP tools successfully (e.g., `mcp__beads__show`, `mcp__beads__list`)
4. Restart Amp (new thread/session)
5. Try to use MCP tools without calling `set_context` again
6. **Result**: "Not connected" or "No workspace set" errors

## Impact
- Amp agents silently fail when trying to read/update beads issues
- May attempt to create duplicate issues because they can't see existing ones
- Potential for data corruption if operating on wrong database
- Breaks multi-session workflows
- Creates confusion: CLI works (`./bd`) but MCP tools don't

## Current Workaround
Manually call `mcp__beads__set_context()` at start of every Amp session.

## Root Cause
MCP server is stateful and doesn't persist workspace context across restarts.

## Proposed Fix
**Option 1 (Best)**: Auto-detect workspace from current working directory
- Match behavior of CLI `./bd` commands
- Check for `.beads/` directory in current dir or parents
- No manual context setting needed

**Option 2**: Persist context in MCP server state file
- Save last workspace_root to `~/.config/beads/mcp_context.json`
- Restore on server startup

**Option 3**: Require explicit context in every MCP call
- Add optional `workspace_root` parameter to all MCP tools
- Fall back to saved context if not provided

Acceptance:
- MCP tools work across Amp restarts without manual set_context()
- Auto-detection matches CLI behavior (walks up from CWD)
- Clear error message when no workspace found
- set_context() still works for explicit override
- BEADS_WORKING_DIR env var support
- Integration test validates restart behavior


Consider extracting error handling helpers

Evaluate creating FatalError() and WarnError() helpers as suggested in ERROR_HANDLING.md to reduce boilerplate and enforce consistency. Prototype in a few files first to validate the approach.


bd export only outputs 1 issue after auto-import corrupts database

When auto-import runs and purges issues (due to git history backfill bug), subsequent 'bd export' only exports 1 issue even though the database should have many.

Reproduction:
1. Have issues.jsonl with 55 issues
2. Auto-import triggers and purges all issues via git history backfill
3. Run 'bd export' - only exports 1 issue (the last one created before corruption)

The database gets into an inconsistent state where most issues are purged but export doesn't realize this.

Workaround: Rebuild database from scratch with 'rm .beads/beads.db && bd init --prefix bd'


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)


bd info shows 'auto_start_disabled' even when daemon is crashed/missing


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'.


Fix G104 errors unhandled in internal/storage/sqlite/queries.go:1181

Linting issue: G104: Errors unhandled (gosec) at internal/storage/sqlite/queries.go:1181:4. Error: rows.Close()


GH#522: Add --type flag to bd update command

Allow changing issue type (task/epic/bug/feature) via bd update --type. Storage layer already supports it. Needed for TUI tools like Abacus. See: https://github.com/steveyegge/beads/issues/522


Baseline quality gate failure: test

The test quality gate is failing on the baseline (main branch).

This blocks the executor from claiming work until fixed.

Error: go test failed: exit status 1

Output:
```
?   	github.com/steveyegge/beads	[no test files]
# github.com/steveyegge/beads/internal/beads_test [github.com/steveyegge/beads/internal/beads.test]
internal/beads/routing_integration_test.go:142:27: not enough arguments in call to sqlite.New
	have (string)
	want (context.Context, string)
# github.com/steveyegge/beads/internal/compact [github.com/steveyegge/beads/internal/compact.test]
internal/compact/compactor_test.go:17:27: not enough arguments in call to sqlite.New
	have (string)
	want (context.Context, string)
# github.com/steveyegge/beads/cmd/bd [github.com/steveyegge/beads/cmd/bd.test]
cmd/bd/integrity_content_test.go:31:32: undefined: ctx
cmd/bd/integrity_content_test.go:183:32: undefined: ctx
FAIL	github.com/steveyegge/beads/cmd/bd [build failed]
# github.com/steveyegge/beads/internal/daemon [github.com/steveyegge/beads/internal/daemon.test]
internal/daemon/discovery_test.go:21:27: not enough arguments in call to sqlite.New
	have (string)
	want (context.Context, string)
internal/daemon/discovery_test.go:59:27: not enough arguments in call to sqlite.New
	have (string)
	want (context.Context, string)
internal/daemon/discovery_test.go:232:27: not enough arguments in call to sqlite.New
	have (string)
	want (context.Context, string)
# github.com/steveyegge/beads/internal/importer [github.com/steveyegge/beads/internal/importer.test]
internal/importer/external_ref_test.go:22:27: not enough arguments in call to sqlite.New
	have (string)
	want (context.Context, string)
internal/importer/external_ref_test.go:106:27: not enough arguments in call to sqlite.New
	have (string)
	want (context.Context, string)
internal/importer/external_ref_test.go:197:27: not enough arguments in call to sqlite.New
	have (string)
	want (context.Context, string)
internal/importer/external_ref_test.go:295:27: not enough arguments in call to sqlite.New
	have (string)
	want (context.Context, string)
internal/importer/importer_test.go:566:27: not enough arguments in call to sqlite.New
	have (st
... (truncated, see full output in logs)
```

Released by executor after budget limit hit. Tests were already fixed manually. Issue can be closed when tests are verified to pass.


Refactor: deduplicate FindJSONLInDir and FindJSONLPath

## Background

After fixing bd-tqo, we now have two nearly identical functions for finding the JSONL file:
- `autoimport.FindJSONLInDir(dbDir string)` in internal/autoimport/autoimport.go
- `beads.FindJSONLPath(dbPath string)` in internal/beads/beads.go

Both implement the same logic:
1. Prefer issues.jsonl
2. Fall back to beads.jsonl for legacy support
3. Skip deletions.jsonl and merge artifacts
4. Default to issues.jsonl if nothing found

## Problem

Code duplication means bug fixes need to be applied in multiple places (as we just experienced with bd-tqo).

## Proposed Solution

Extract shared logic to a utility package that both can import. Options:
1. Create `internal/jsonlpath` package with the core logic
2. Have `autoimport` import `beads` and call `FindJSONLPath` (but APIs differ slightly)
3. Move to `internal/utils` if appropriate

Need to verify no import cycles would be created.

## Affected Files
- internal/autoimport/autoimport.go
- internal/beads/beads.go


Add tombstone validation: require deleted_at for tombstone status

ValidateWithCustomStatuses() doesn't enforce that tombstones must have deleted_at set. Per bd-2m7 design: 'If status == tombstone, then deleted_at MUST be set'. Also should validate that non-tombstones cannot have deleted_at set.

Location: internal/types/types.go:109-114

Add validation:
- if i.Status == StatusTombstone && i.DeletedAt == nil: error
- if i.Status != StatusTombstone && i.DeletedAt != nil: error


CRITICAL: git-history-backfill purges entire database when JSONL reset

When a clone gets reset (git reset --hard origin/main), the git-history-backfill logic incorrectly adds ALL issues to the deletions manifest, then sync purges the entire database.\n\nFix adds safety guard: never delete more than 50% of issues via git-history-backfill. If threshold exceeded, abort with warning message.


Consolidate check-health DB opens into single connection

The --check-health flag opens the database 3 separate times (once per quick check). Consolidate into a single DB open for better performance, especially on slower filesystems.


bd cleanup fails with CHECK constraint on status/closed_at mismatch

## Problem

Running bd cleanup --force fails with:

Error: failed to create tombstone for bd-okh: sqlite3: constraint failed: CHECK constraint failed: (status = 'closed') = (closed_at IS NOT NULL)

## Root Cause

The database has a CHECK constraint ensuring closed issues have closed_at set and non-closed issues do not. When bd cleanup tries to convert a closed issue to a tombstone, this constraint fails.

## Impact

- bd cleanup --force cannot complete
- 722 closed issues cannot be cleaned up
- Blocks routine maintenance

## Investigation Needed

1. Check the bd-okh record in the database
2. Determine if this is data corruption or a bug in tombstone creation

## Proposed Solutions

1. If data corruption: Add a bd doctor --fix check that repairs status/closed_at mismatches
2. If code bug: Fix the tombstone creation to properly handle the constraint

## Files to Investigate

- internal/storage/sqlite/sqlite.go - DeleteIssue / tombstone creation
- Schema CHECK constraint definition

## Acceptance Criteria

- Identify root cause (data vs code bug)
- bd cleanup --force completes successfully
- bd doctor detects status/closed_at mismatches


Add cancellation and timeout tests

Add comprehensive tests for context cancellation and timeout behavior.

## Context
Part of context propagation work. Validates that bd-rtp and bd-yb8 work correctly.

## Test Coverage Needed

### 1. Cancellation Tests
- [ ] Import operation cancelled mid-stream
- [ ] Export operation cancelled mid-stream
- [ ] Database query cancelled during long operation
- [ ] No corruption after cancellation
- [ ] Proper cleanup (defers execute, connections closed)

### 2. Timeout Tests
- [ ] Operations respect context deadlines
- [ ] Appropriate error messages on timeout
- [ ] State remains consistent after timeout

### 3. Signal Handling Tests
- [ ] SIGINT (Ctrl+C) triggers cancellation
- [ ] SIGTERM triggers graceful shutdown
- [ ] Multiple signals handled correctly

## Implementation Approach
```go
func TestImportCancellation(t *testing.T) {
    ctx, cancel := context.WithCancel(context.Background())

    // Start import in goroutine
    go func() {
        err := runImport(ctx, largeFile)
        assert.Error(err, context.Canceled)
    }()

    // Cancel after short delay
    time.Sleep(100 * time.Millisecond)
    cancel()

    // Verify database integrity
    assertDatabaseConsistent(t, store)
}
```

## Files to Create/Update
- cmd/bd/import_test.go - cancellation tests
- cmd/bd/export_test.go - cancellation tests
- internal/storage/sqlite/*_test.go - context timeout tests

## Acceptance Criteria
- [ ] All critical operations have cancellation tests
- [ ] Tests verify database integrity after cancellation
- [ ] Signal handling tested (if feasible)
- [ ] Test coverage >80% for context paths


Add index usage verification test for external_ref lookups

Currently we test that idx_issues_external_ref index exists, but we don't verify that it's actually being used by the query planner.

Proposed solution:
- Add test using EXPLAIN QUERY PLAN
- Verify that 'SEARCH TABLE issues USING INDEX idx_issues_external_ref' appears in plan
- Ensures O(1) lookup performance is maintained

Related: bd-1022
Files: internal/storage/sqlite/external_ref_test.go:260


bd export should detect and prevent stale database exports

## Problem

When `bd export` is run with a stale database (older than issues.jsonl), it silently overwrites the JSONL file with stale data, causing data loss.

## What Happened (vc project)

1. Agent A created 4 new issues and exported to issues.jsonl (commit 99a9d58)
2. Agent A closed an issue and exported again (commit 58b4613) - JSONL now has 4 epics
3. Agent B had stale database (from before step 1)
4. Agent B worked on unrelated issue and exported (commit 0609233)
5. Agent B's export **overwrote issues.jsonl**, removing the 4 epics created by Agent A
6. Required manual recovery by re-exporting from Agent A's correct database

## Expected Behavior

`bd export` should detect that the database is stale and either:
- **Refuse to export** with error message explaining the issue
- **Warn prominently** and require explicit --force flag to override
- **Auto-import first** to sync database before exporting

## How to Detect Staleness

Compare modification times (similar to VC's ValidateDatabaseFreshness):
1. Check .db, .db-wal, .db-shm timestamps (use newest for WAL mode)
2. Check issues.jsonl timestamp
3. If JSONL is newer by >1 second: database is stale

## Suggested Fix

Add staleness check in `bd export`:

```go
func Export(dbPath, jsonlPath string, force bool) error {
    // Check if database is stale
    if !force {
        if err := checkDatabaseFreshness(dbPath, jsonlPath); err != nil {
            return fmt.Errorf("database is stale: %w\n" +
                "Run 'bd import %s' first to sync, or use --force to override",
                err, jsonlPath)
        }
    }

    // Proceed with export...
}
```

## Impact

- **Severity**: High (silent data loss)
- **Frequency**: Happens in multi-agent workflows when agents don't sync
- **Workaround**: Manual recovery (re-export from correct database)

## References

- VC issue tracker: commits 58b4613 -> 0609233 -> c41c638
- VC has similar check: `storage.ValidateDatabaseFreshness()`
- Tolerance: 1 second (handles filesystem timestamp precision)

Fixed with ID-based comparison instead of just count. Now detects:
1. DB has fewer issues than JSONL (count check)
2. DB has different issues than JSONL (ID comparison)

Both scenarios now properly refuse export unless --force is used.

Implementation uses getIssueIDsFromJSONL() to build a set of IDs from JSONL, then checks if any JSONL IDs are missing from DB. Shows specific missing issue IDs in error message.


[CRITICAL] Sync validation false positive - legitimate deletions trigger 'data loss detected'

Sync preflight validation incorrectly detects 'data loss' when legitimate deletions occur. This blocks all syncs and is the highest priority fix.


YABB: Spurious issue updates during normal operations

Issue bd-627d was updated during config refactoring session without any actual changes to it. Only timestamps and content_hash changed.

Observed: Running various bd commands (list, create, etc.) caused bd-627d updated_at to change from 14:14 to 14:31.

Expected: Issues should only be updated when explicitly modified.

This causes:
- Dirty JSONL after every session
- False conflicts in git
- Confusing git history

Likely culprit: Daemon auto-import/export cycle or database migration touching all issues.

Investigated thoroughly - unable to reproduce. The import logic has IssueDataChanged() checks before calling UpdateIssue (importer/importer.go:458). All tests pass. May have been fixed by recent refactorings. Closing as cannot reproduce - please reopen with specific repro steps if it occurs again.


GH#517: Fix Claude setting wrong priority syntax on new install

Claude uses 'medium' instead of P2/2 for priority, causing infinite error loops. bd prime hook or docs not clear enough. See: https://github.com/steveyegge/beads/issues/517


Doctor: exclude merge artifacts from 'multiple JSONL' warning

## Problem
`bd doctor` warns about 'Multiple JSONL files found' when merge artifact files exist:
```
JSONL Files: Multiple JSONL files found: beads.base.jsonl, beads.left.jsonl, issues.jsonl ⚠
```

This is confusing because these aren't real issue JSONL files - they're temporary snapshots for deletion tracking.

## Fix
Exclude known merge artifact patterns from the multiple-JSONL warning:

```go
// In doctor JSONL check
skipPatterns := map[string]bool{
    "beads.base.jsonl": true,
    "beads.left.jsonl": true,
    "beads.right.jsonl": true,
}
```

## Files
- cmd/bd/doctor/ (JSONL check logic)


Separate process/lock/PID concerns into process.go

Create internal/daemonrunner/process.go with: acquireDaemonLock, PID file read/write, stopDaemon, isDaemonRunning, getPIDFilePath, socket path helpers, version check.


Extract batch operations to batch_ops.go

Move validateBatchIssues, generateBatchIDs, bulkInsertIssues, bulkRecordEvents, bulkMarkDirty, CreateIssues to batch_ops.go


Investigate jujutsu VCS as potential solution for conflict-free merging

## Context
Current N-way collision resolution struggles with Git line-based merge model. When 5+ clones create issues with same ID, Git merge conflicts require manual resolution, and our collision resolver can fail during convergence rounds.

## Research Question
Could jujutsu (jj) provide better conflict handling for JSONL files?

## Jujutsu Overview
- Next-gen VCS built on libgit2
- Designed to handle conflicts as first-class citizens
- Supports conflict-free replicated data types (CRDTs) in some scenarios
- Better handling of concurrent edits
- Can work with Git repos (compatible with existing infrastructure)

## Investigation Tasks
1. JSONL Merge Behavior - How does jj handle line-by-line JSONL conflicts?
2. Integration Feasibility - Can beads use jj as backend while maintaining Git compatibility?
3. Conflict Resolution Model - Does jj conflict model map to our collision resolution?
4. Operational Transform Support - Does jj implement operational transforms?

## Deliverables
1. Technical report on jj merge algorithm for JSONL
2. Proof-of-concept: 5-clone collision test using jj instead of Git
3. Performance comparison: Git vs jj for beads workload
4. Recommendation: Adopt, experiment further, or abandon

## References
- https://github.com/martinvonz/jj
- Related to bd-e6d71828, bd-7a2b58fc


Test FK constraint via close


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.


mergePriority: negative priorities not handled consistently


Daemon crash recovery: panic handler + socket cleanup

Improve daemon cleanup on unexpected exit:
1. Add top-level recover() in runDaemonLoop to capture panics
2. Write daemon-error file with stack trace on panic
3. Prefer return over os.Exit where possible (so defers run)
4. In stopDaemon forced-kill path, also remove stale socket if present

This ensures better diagnostics and cleaner state after crashes.


Fix unparam unused parameter in cmd/bd/doctor.go:541

Linting issue: checkHooksQuick - path is unused (unparam) at cmd/bd/doctor.go:541:22. Error: func checkHooksQuick(path string) string {


Audit Current Cache Usage

Understand exactly what code depends on the storage cache

Audit complete. See CACHE_AUDIT.md for full findings.

Summary:
- Cache was already removed in commit 322ab63 (2025-10-28)
- server_cache_storage.go deleted (~286 lines)
- All getStorageForRequest calls replaced with s.storage
- All environment variables removed
- MCP multi-repo works via per-project daemon architecture
- All tests updated and passing
- Only stale comment in server.go needed fixing


(deleted)


Default to YES for git hooks and merge driver installation

Currently bd init prompts user to install git hooks and merge driver, but setup is incomplete if user declines. Change to install by default unless --skip-hooks or --skip-merge-driver flags are passed. Better safe defaults. If installation fails, warn user and suggest bd doctor --fix.


Add unit tests for config modes

Test all four orphan_handling modes: strict (fails), resurrect (creates tombstone), skip (logs warning), allow (imports orphan). Verify error messages and logging output for each mode.


Refactor: extract common helpers in sync-branch hook checks

Code review of #532 fix identified duplication between checkSyncBranchHookCompatibility and checkSyncBranchHookQuick.

Suggested refactoring:
1. Extract getPrePushHookPath(path string) helper for git dir + hook path resolution
2. Extract extractHookVersion(hookContent string) helper for version parsing
3. Consider whether Warning for custom hooks is appropriate (vs OK with info message)
4. Document the intentional behavior difference between full check (Warning for custom) and quick check (OK for custom)


Baseline quality gate failure: lint

The lint quality gate is failing on the baseline (main branch).

This blocks the executor from claiming work until fixed.

Error: golangci-lint failed: exit status 1

Output:
```
cmd/bd/search.go:39:12: Error return value of `cmd.Help` is not checked (errcheck)
			cmd.Help()
			        ^
cmd/bd/clean.go:118:15: G304: Potential file inclusion via variable (gosec)
	file, err := os.Open(gitignorePath)
	             ^
cmd/bd/doctor/gitignore.go:98:12: G306: Expect WriteFile permissions to be 0600 or less (gosec)
	if err := os.WriteFile(gitignorePath, []byte(GitignoreTemplate), 0644); err != nil {
	          ^
cmd/bd/merge.go:121:16: G204: Subprocess launched with variable (gosec)
			gitRmCmd := exec.Command("git", "rm", "-f", "--quiet", fullPath)
			            ^
cmd/bd/doctor.go:167:20: `cancelled` is a misspelling of `canceled` (misspell)
		fmt.Println("Fix cancelled.")
		                 ^
cmd/bd/flush_manager.go:139:42: `cancelling` is a misspelling of `canceling` (misspell)
		// Send shutdown request FIRST (before cancelling context)
		                                       ^
cmd/bd/flush_manager.go:261:15: `cancelled` is a misspelling of `canceled` (misspell)
			// Context cancelled (shouldn't normally happen)
			           ^
cmd/bd/flush_manager.go:269:55: (*FlushManager).performFlush - result 0 (error) is always nil (unparam)
func (fm *FlushManager) performFlush(fullExport bool) error {
                                                      ^
8 issues:
* errcheck: 1
* gosec: 3
* misspell: 3
* unparam: 1

```


Test auto-start in fred


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


Implement clone-scoped ID allocation to prevent N-way collisions

## Problem
Current ID allocation uses per-clone atomic counters (issue_counters table) that sync based on local database state. In N-way collision scenarios:
- Clone B sees {test-1} locally, allocates test-2
- Clone D sees {test-1, test-2, test-3} locally, allocates test-4
- When same content gets assigned test-2 and test-4, convergence fails

Root cause: Each clone independently allocates IDs without global coordination, leading to overlapping assignments for the same content.

## Solution
Add clone UUID to ID allocation to make every ID globally unique:

**Current format:** `test-1`, `test-2`, `test-3`
**New format:** `test-1-a7b3`, `test-2-a7b3`, `test-3-c4d9`

Where suffix is first 4 chars of clone UUID.

## Implementation

### 1. Add clone_identity table
```sql
CREATE TABLE clone_identity (
    clone_uuid TEXT PRIMARY KEY,
    created_at DATETIME DEFAULT CURRENT_TIMESTAMP
);
```

### 2. Modify getNextIDForPrefix()
```go
func (s *SQLiteStorage) getNextIDForPrefix(ctx context.Context, prefix string) (string, error) {
    cloneUUID := s.getOrCreateCloneUUID(ctx)
    shortUUID := cloneUUID[:4]

    nextNum := s.getNextCounterForPrefix(ctx, prefix)
    return fmt.Sprintf("%s-%d-%s", prefix, nextNum, shortUUID), nil
}
```

### 3. Update ID parsing logic
All places that parse IDs (utils.ExtractIssueNumber, etc.) need to handle new format.

### 4. Migration strategy
- Existing IDs remain unchanged (no suffix)
- New IDs get clone suffix automatically
- Display layer can hide suffix in UI: `bd-cb64c226.3-a7b3` → `#42`

## Benefits
- **Zero collision risk**: Same content in different clones gets different IDs
- **Maintains readability**: Still sequential numbering within clone
- **No coordination needed**: Works offline, no central authority
- **Scales to 100+ clones**: 4-char hex = 65,536 unique clones

## Concerns
- ID format change may break existing integrations
- Need migration path for existing databases
- Display logic needs update to hide/show suffixes appropriately

## Success Criteria
- 10+ clone collision test passes without failures
- Existing issues continue to work (backward compatibility)
- Documentation updated with new ID format
- Migration guide for v1.x → v2.x

## Timeline
Medium-term (v1.1-v1.2), 2-3 weeks implementation

## References
- Related to bd-e6d71828 (immediate fix)
- See beads_nway_test.go for failing N-way tests


Test P1 priority


Fix revive style issues (78 issues)

Style violations: unused parameters (many cmd/args in cobra commands), missing exported comments, stuttering names (SQLiteStorage), indent-error-flow issues.

Fixed 19 revive issues:
- 14 unused-parameter (renamed to _)
- 2 redefines-builtin-id (max→maxCount, min→minInt)
- 3 indent-error-flow (gofmt fixed 2, skipped 1 complex nested one)

Remaining issues are acceptable: 11 unused-params in deeper code, 2 empty-blocks with comments, 1 complex indent case, 1 superfluous-else in test.


Debug test 2


Add close_reason field to CLI schema and documentation

PR #551 persists close_reason, but the CLI documentation may not mention this field as part of the issue schema.

## Current State
- close_reason is now persisted in database
- `bd show --json` will return close_reason in JSON output
- Documentation may not reflect this new field

## What's Missing
- CLI reference documentation for close_reason field
- Schema documentation showing close_reason is a top-level issue field
- Example output showing close_reason in bd show --json
- bd close command documentation should mention close_reason parameter is optional

## Suggested Action
1. Update README.md or CLI reference docs to list close_reason as an issue field
2. Add example to bd close documentation
3. Update any type definitions or schema specs
4. Consider adding close_reason to verbose list output (bd list --verbose)


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


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.


Add comprehensive filters to bd export

Enhance bd export with filtering options for selective exports.

**Currently only has:**
- --status

**Add filters:**
- --label, --label-any
- --assignee
- --type
- --priority, --priority-min, --priority-max
- --created-after, --created-before
- --updated-after, --updated-before

**Use case:**
- Export only open issues: bd export --status open
- Export high-priority bugs: bd export --type bug --priority-max 1
- Export recent issues: bd export --created-after 2025-01-01

**Files to modify:**
- cmd/bd/export.go
- Reuse filter logic from list.go


Make DetectCollisions read-only (separate detection from modification)

## Overview
Phase 2: Separate collision detection from state modification to enable safe, composable collision resolution.

## Current Problem
DetectCollisions (collision.go:38-111) modifies database state during detection:
- Line 83-86: Deletes issues when content matches but ID differs
- This violates separation of concerns
- Causes race conditions when processing multiple issues
- Makes contentToDBIssue map stale after first deletion
- Partial failures leave DB in inconsistent state

## Solution
Make DetectCollisions purely read-only. Move all modifications to a separate ApplyCollisionResolution function.

## Implementation Tasks

### 1. Add RenameDetail to CollisionResult
File: internal/storage/sqlite/collision.go
```go
type CollisionResult struct {
    ExactMatches []string
    Collisions   []*CollisionDetail
    NewIssues    []string
    Renames      []*RenameDetail  // NEW
}

type RenameDetail struct {
    OldID string        // ID in database
    NewID string        // ID in incoming
    Issue *types.Issue  // The issue with new ID
}
```

### 2. Remove deletion from DetectCollisions
Replace lines 83-86:
```go
// OLD (DELETE THIS):
if err := s.DeleteIssue(ctx, dbMatch.ID); err != nil {
    return nil, fmt.Errorf("failed to delete renamed issue...")
}

// NEW (ADD THIS):
result.Renames = append(result.Renames, &RenameDetail{
    OldID: dbMatch.ID,
    NewID: incoming.ID,
    Issue: incoming,
})
continue  // Don't mark as NewIssue yet
```

### 3. Create ApplyCollisionResolution function
New function to apply all modifications atomically:
```go
func ApplyCollisionResolution(ctx context.Context, s *SQLiteStorage,
    result *CollisionResult, mapping map[string]string) error {

    // Phase 1: Handle renames (delete old IDs)
    for _, rename := range result.Renames {
        if err := s.DeleteIssue(ctx, rename.OldID); err != nil {
            return fmt.Errorf("failed to delete renamed issue %s: %w",
                rename.OldID, err)
        }
    }

    // Phase 2: Create new IDs (from mapping)
    // Phase 3: Update references
    return nil
}
```

### 4. Update callers to use two-phase approach
File: internal/importer/importer.go (handleCollisions)
```go
// Phase 1: Detect (read-only)
collisionResult, err := sqlite.DetectCollisions(ctx, sqliteStore, issues)

// Phase 2: Resolve (compute mapping)
mapping, err := sqlite.ResolveNWayCollisions(ctx, sqliteStore, collisionResult)

// Phase 3: Apply (modify DB)
err = sqlite.ApplyCollisionResolution(ctx, sqliteStore, collisionResult, mapping)
```

### 5. Update tests
- Verify DetectCollisions doesn't modify DB
- Test ApplyCollisionResolution separately
- Add test for rename detection without modification

## Acceptance Criteria
- DetectCollisions performs zero writes to database
- DetectCollisions returns RenameDetail entries for content matches
- ApplyCollisionResolution handles all modifications
- All existing tests still pass
- New test verifies read-only detection
- contentToDBIssue map stays consistent throughout detection

## Files to Modify
- internal/storage/sqlite/collision.go (DetectCollisions, new function)
- internal/importer/importer.go (handleCollisions caller)
- internal/storage/sqlite/collision_test.go (add tests)

## Testing
- Unit test: DetectCollisions with content match doesn't delete DB issue
- Unit test: RenameDetail correctly populated
- Unit test: ApplyCollisionResolution applies renames
- Integration test: Full flow still works end-to-end

## Risk Mitigation
This is a significant refactor of core collision logic. Recommend:
1. Add comprehensive tests before modifying
2. Use feature flag to enable/disable new behavior
3. Test thoroughly with TestTwoCloneCollision first