Replace Windows CI full test suite with smoke tests

## Problem

Windows CI tests consistently timeout at 30 minutes despite multiple optimization attempts:
- Split into parallel jobs (cmd vs internal) - still times out
- RAM disk for temp/cache - marginal improvement (~50%)
- RAM disk for workspace - breaks due to t.Chdir() incompatibility with ImDisk

Root cause: Windows I/O is fundamentally 20x slower than Linux:
- NTFS slow for small file operations
- Windows Defender scans every file access
- Git on Windows is 5-10x slower
- Process spawning is expensive

Linux tests complete in ~1.5 min with race detector. Windows takes 30+ min without.

## Current State

- Windows jobs have continue-on-error: true (don't block PRs)
- Tests timeout before completing, providing zero signal
- RAM disk experiments added complexity without solving the problem

## Solution: Smoke Tests Only

Replace full test suite with minimal smoke tests that verify Windows compatibility in < 2 minutes.

### What to Test
1. Binary builds - go build succeeds (already separate step)
2. Binary executes - bd version works
3. Init works - bd init creates valid database
4. Basic CRUD - create, list, show, update, close
5. Path handling - Windows backslash paths work

### Proposed CI Change

Replace test-windows-cmd and test-windows-internal with single smoke test job:
- Build bd.exe
- Run: bd version
- Run: bd init --quiet --prefix smoke
- Run: bd create --title "Windows smoke test" --type task
- Run: bd list
- Run: bd show smoke-001
- Run: bd update smoke-001 --status in_progress
- Run: bd close smoke-001

### Benefits
- Completes in < 2 minutes vs 30+ minute timeouts
- Provides actual pass/fail signal
- Verifies Windows binary works
- Removes RAM disk complexity
- Single job instead of two parallel jobs

### Files to Change
- .github/workflows/ci.yml - Replace test-windows-cmd and test-windows-internal jobs

### Migration Steps
1. Remove test-windows-cmd job
2. Remove test-windows-internal job
3. Add single test-windows job with smoke tests
4. Remove continue-on-error (tests should now pass reliably)
5. Clean up RAM disk remnants from previous attempts

### Context
- Parent issue: bd-5we (Use RAM disk for Windows CI tests)
- RAM disk approach proved insufficient
- This is the pragmatic solution after extensive experimentation


bd import silently succeeds when database matches working tree but not git HEAD

**Critical**: bd import reports '0 created, 0 updated' when database matches working tree JSONL, even when working tree is ahead of git HEAD. This gives false confidence that everything is synced with the source of truth.

## Reproduction

1. Start with database synced to working tree .beads/issues.jsonl (376 issues)
2. Git HEAD has older version of .beads/issues.jsonl (354 issues)
3. Run: bd import .beads/issues.jsonl
4. Output: 'Import complete: 0 created, 0 updated'

## Problem

User expects 'bd import' after 'git pull' to sync database with committed state, but:
- Command silently succeeds because DB already matches working tree
- No warning that working tree has uncommitted changes
- User falsely believes everything is synced with git
- Violates 'JSONL in git is source of truth' principle

## Expected Behavior

When .beads/issues.jsonl differs from git HEAD, bd import should:
1. Detect uncommitted changes: git diff --quiet HEAD .beads/issues.jsonl
2. Warn user: 'Warning: .beads/issues.jsonl has uncommitted changes (376 lines vs 354 in HEAD)'
3. Clarify status: 'Import complete: 0 created, 0 updated (already synced with working tree)'
4. Recommend: 'Run git diff .beads/issues.jsonl to review uncommitted work'

## Impact

- Users can't trust 'bd import' status messages
- Silent data loss risk if user assumes synced and runs git checkout
- Breaks mental model of 'JSONL in git = source of truth'
- Critical for VC's landing-the-plane workflow


AI-supervised database migrations for safer schema evolution

## Problem

Database migrations can lose user data through edge cases that are hard to anticipate (e.g., GH #201 where bd migrate failed to set issue_prefix, or bd-d355a07d false positive data loss warnings). Since beads is designed to be run by AI agents, we should leverage AI to make migrations safer.

## Current State

Migrations run blindly with:
- No pre-flight validation
- No data integrity verification
- No rollback on failure
- Limited post-migration testing

Recent issues:
- GH #201: Migration didn't set issue_prefix config, breaking commands
- bd-d355a07d: False positive "data loss" warnings on collision resolution
- Users reported migration data loss (fixed but broader problem remains)

## Proposal: AI-Supervised Migration Framework

Use AI to supervise migrations through structured verification:

### 1. Pre-Migration Analysis
- AI reads migration code and current schema
- Identifies potential data loss scenarios
- Generates validation queries to verify assumptions
- Creates snapshot queries for before/after comparison

### 2. Migration Execution
- Take database backup/snapshot
- Run validation queries (pre-state)
- Execute migration in transaction
- Run validation queries (post-state)

### 3. Post-Migration Verification
- AI compares pre/post snapshots
- Verifies data integrity invariants
- Checks for unexpected data loss
- Validates config completeness (like issue_prefix)

### 4. Rollback on Anomalies
- If AI detects data loss, rollback transaction
- Present human-readable error report
- Suggest fix before retrying

## Example Flow

```
$ bd migrate

→ Analyzing migration plan...
→ AI identified 3 potential data loss scenarios
→ Generating validation queries...
→ Creating pre-migration snapshot...
→ Running migration in transaction...
→ Verifying post-migration state...
✓ All 247 issues accounted for
✓ Config table complete (issue_prefix: "mcp")
✓ Dependencies intact (342 relationships verified)
→ Migration successful!
```

If something goes wrong:
```
$ bd migrate

→ Analyzing migration plan...
→ AI identified issue: Missing issue_prefix config after migration
→ Recommendation: Add prefix detection step
→ Aborting migration - database unchanged
```

## Implementation Ideas

### A. Migration Validator Tool
Create `bd migrate --validate` that:
- Simulates migration on copy of database
- Uses AI to verify data integrity
- Reports potential issues before real migration

### B. Migration Test Generator
AI generates test cases for migrations:
- Edge cases (empty DB, large DB, missing config)
- Data integrity checks
- Regression tests

### C. Migration Invariants
Define invariants that AI checks:
- Issue count should not decrease (unless collision resolution)
- All required config keys present
- Foreign key relationships intact
- No orphaned dependencies

### D. Self-Healing Migrations
AI detects incomplete migrations and suggests fixes:
- Missing config values (like GH #201)
- Orphaned data
- Index inconsistencies

## Benefits

1. **Catch edge cases**: AI explores scenarios humans miss
2. **Self-documenting**: AI explains what migration does
3. **Agent-friendly**: Agents can run migrations confidently
4. **Fewer rollbacks**: Detect issues before committing
5. **Better testing**: AI generates comprehensive test suites

## Open Questions

1. Which AI model? (Fast: Haiku, Thorough: Sonnet/GPT-4)
2. How to balance safety vs migration speed?
3. Should AI validation be required or optional?
4. How to handle offline scenarios (no API access)?
5. What invariants should always be checked?

## Related Work

- bd-b245: Migration registry (makes migrations introspectable)
- GH #201: issue_prefix migration bug (motivating example)
- bd-d355a07d: False positive data loss warnings

## Progress

### ✅ Phase 1: Migration Invariants (COMPLETED)

**Implemented:**
- Created internal/storage/sqlite/migration_invariants.go with 3 invariants
- Updated RunMigrations() to verify invariants after migrations
- All tests pass ✓

### ✅ Phase 2: Inspection Tools (COMPLETED & PUSHED)

**Commit:** 1abe4e7 - "Add migration inspection tools for AI agents (bd-627d Phase 2)"

**Implemented:**
1. ✅ bd migrate --inspect --json - Shows migration plan
2. ✅ bd info --schema --json - Returns schema details
3. ✅ Migration warnings system
4. ✅ Documentation updated in AGENTS.md
5. ✅ All tests pass

### ✅ Phase 3: MCP Tools (COMPLETED & PUSHED)

**Commit:** 2493693 - "Add MCP tools for migration inspection (bd-627d Phase 3)"

**Implemented:**
1. ✅ inspect_migration(workspace_root) tool in beads-mcp
2. ✅ get_schema_info(workspace_root) tool in beads-mcp
3. ✅ Abstract methods in BdClientBase
4. ✅ CLI client implementations
5. ✅ All tests pass

**All phases complete!** Migration inspection fully integrated into MCP server.


Fix bd doctor to recommend issues.jsonl as canonical (not beads.jsonl)


Fix Windows-specific test failures in CI

Several tests are failing on Windows but passing on Linux:

**Failing tests:**
- TestFindDatabasePathEnvVar
- TestHashIDs_MultiCloneConverge
- TestHashIDs_IdenticalContentDedup
- TestDatabaseReinitialization (all 5 subtests):
  - fresh_clone_auto_import
  - database_removal_scenario
  - legacy_filename_support
  - precedence_test
  - init_safety_check
- TestFindBeadsDir_NotFound
- TestMetricsSnapshot/uptime (in internal/rpc)

**CI Run:** https://github.com/steveyegge/beads/actions/runs/19015638968

These are likely path separator or filesystem behavior differences between Windows and Linux.

Fixed all Windows path issues:
1. TestFindDatabasePathEnvVar - expects canonicalized paths ✅
2. TestHashIDs tests - use platform-specific bd.exe command ✅
3. TestMetricsSnapshot/uptime - enforce minimum 1 second uptime ✅
4. TestFindBeadsDir_NotFound - allow finding .beads in parent dirs ✅
5. TestDatabaseReinitialization - fix git path conversion on Windows (git returns /c/Users/... but filepath needs C:\Users\...) ✅

CI run in progress to verify all fixes.


bd init should refuse when JSONL already has issues (safety guard)

When running `bd init` in a directory with an existing JSONL containing issues, bd should refuse and suggest the correct action instead of proceeding.

## The Problem

Current behavior when database is missing but JSONL exists:
```
$ bd create "test"
Error: no beads database found
Hint: run 'bd init' to create a database...
```

This leads users (and AI agents) to reflexively run `bd init`, which can cause:
- Prefix mismatch if wrong prefix specified
- Data corruption if JSONL is damaged
- Confusion about what actually happened

## Proposed Behavior

```
$ bd init --prefix bd

⚠ Found existing .beads/issues.jsonl with 76 issues.

This appears to be a fresh clone, not a new project.

To hydrate the database from existing JSONL:
  bd doctor --fix

To force re-initialization (may cause data loss):
  bd init --prefix bd --force

Aborting.
```

## Trigger Conditions

- `.beads/issues.jsonl` or `.beads/beads.jsonl` exists
- File contains > 0 valid issue lines
- No `--force` flag provided

## Edge Cases

- Empty JSONL (0 issues) → allow init (new project)
- Corrupted JSONL → warn but allow with confirmation
- Existing `.db` file → definitely refuse (weird state)

## Related

- bd-dmb: Fresh clone should suggest hydration (better error messages)
- bd-4ew: bd doctor should detect fresh clone

This issue is about the safety guard on `bd init` itself, not the error messages from other commands.


Repair Commands & AI-Assisted Tooling

Add specialized repair tools to reduce agent repair burden:
1. Git merge conflicts in JSONL
2. Duplicate issues from parallel work
3. Semantic inconsistencies
4. Orphaned references

See ~/src/fred/beads/repair_commands.md for full design doc.

Reduces agent repair time from 5-10 minutes to <30 seconds per repair.


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


Refactor check-health DB access to avoid repeated path resolution

The runCheckHealth lightweight checks (hintsDisabled, checkVersionMismatch, checkSyncBranchQuick) each have duplicated database path resolution logic. Extract a helper function to DRY this up.


Replace getStorageForRequest with Direct Access

Replace all getStorageForRequest(req) calls with s.storage


Prevent test pollution in production database

The bd-vxdr cleanup revealed test issues were created during manual testing in the production workspace (Nov 2-4, template feature development).

**Root cause:** Manual testing with `./bd create "Test issue"` pollutes the production .beads database.

**Prevention strategies:**
1. Use TEST_DB environment variable for manual testing
2. Add warning when creating issues with "Test" prefix
3. Improve developer docs about testing workflow
4. Consider adding `bd test-mode` command for isolated testing

**Implementation completed:**

1. ✅ Added warning when creating issues with "Test" prefix in production database
   - Shows yellow warning with ⚠ symbol
   - Suggests using BEADS_DB for isolated testing
   - Warning appears in create.go after title validation

2. ✅ Documented BEADS_DB testing workflow in AGENTS.md
   - Added "Testing Workflow" section in Development Guidelines
   - Includes manual testing examples with BEADS_DB
   - Includes automated testing examples with t.TempDir()
   - Clear warning about not polluting production database

3. ⚠ Decided against bd test-mode command
   - BEADS_DB already provides simple, flexible isolation
   - Additional command would add complexity without much benefit
   - Current approach follows Unix philosophy (env vars for config)

**Files modified:**
- cmd/bd/create.go - Added Test prefix warning
- AGENTS.md - Added Testing Workflow section

**Testing:**
- Verified warning appears when creating "Test" prefix issues
- Verified BEADS_DB isolation works correctly
- Built successfully with `go build`


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


Sync should cleanup snapshot files after completion

## Problem
`bd sync` leaves orphaned merge artifact files (beads.base.jsonl, beads.left.jsonl) after completion, causing:
1. Doctor warnings about 'Multiple JSONL files found'
2. Confusion during debugging
3. Potential stale data issues on next sync

## Root Cause
`SnapshotManager` creates these files for 3-way merge deletion tracking but `Cleanup()` is never called after sync completes (success or failure).

## Fix
Call `SnapshotManager.Cleanup()` at end of successful sync:

```go
// sync.go after successful validation
sm := NewSnapshotManager(jsonlPath)
sm.Cleanup()
```

## Files
- cmd/bd/sync.go (add cleanup call)
- cmd/bd/snapshot_manager.go (Cleanup method exists at line 188)


Add simple cleanup command to delete closed issues

Users want a simple command to delete all closed issues without requiring Anthropic API key (unlike compact). Requested in GH #243.


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


Batch test 5


Update daemon commit logic for separate branch

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

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

Estimated effort: 3-4 days


Wrap git operations in GitClient interface

Create internal/daemonrunner/git.go with GitClient interface (HasUpstream, HasChanges, Commit, Push, Pull). Default implementation using os/exec. Use in Syncer and Run loop for testability.


Git history fallback missing timeout - could hang on large repos

## Problem

The git commands in `checkGitHistoryForDeletions` have no timeout. On large repos with extensive history, `git log --all -S` or `git log --all -G` can take a very long time (minutes).

## Location
`internal/importer/importer.go:899` and `:930`

## Impact
- Import could hang indefinitely
- User has no feedback that git search is running
- No way to cancel except killing the process

## Fix
Add context with timeout to git commands:

```go
ctx, cancel := context.WithTimeout(context.Background(), 30*time.Second)
defer cancel()
cmd := exec.CommandContext(ctx, "git", ...)
```

Also consider adding a `--since` flag to bound the git history search.


Update documentation for hash IDs and aliases

Update all documentation to explain hash-based IDs and aliasing system.

## Files to Update

### 1. README.md
Add section explaining hash IDs:
```markdown
## Issue IDs

Beads uses **hash-based IDs** for collision-free distributed issue tracking:

- **Hash ID**: `bd-af78e9a2` (8-char SHA256 prefix, immutable, globally unique)
- **Alias**: `#42` (sequential number, mutable, human-friendly)

### Using IDs
```bash
bd show bd-af78e9a2   # Use hash ID
bd show #42           # Use alias
bd show 42            # Use alias (shorthand)
```

### Why Hash IDs?
- **Collision-free**: Work offline without ID conflicts
- **Distributed**: No coordination needed between clones
- **Git-friendly**: Different IDs = different JSONL lines, fewer merge conflicts

### Aliases
Aliases are workspace-local shortcuts for hash IDs. They're:
- Automatically assigned on issue creation
- Reassigned deterministically on sync (if conflicts)
- Can be manually controlled with `bd alias` commands
```

### 2. AGENTS.md
Update agent workflow:
```markdown
## Hash-Based IDs (v2.0+)

Beads v2.0 uses hash-based IDs to eliminate collision problems:

**When creating issues**:
```bash
bd create "Fix bug" -p 1
# → Creates bd-af78e9a2 with alias #1
```

**When referencing issues**:
- In text: Use hash IDs (stable): "See bd-af78e9a2 for details"
- In CLI: Use aliases (readable): `bd update #42 --status done`

**After sync**:
- Alias conflicts resolved automatically (content-hash ordering)
- No ID collisions possible
- No remapping needed

**Migration from v1.x**:
```bash
bd migrate --hash-ids  # One-time migration
```
```

### 3. QUICKSTART.md (if exists)
Show alias usage in examples:
```bash
# Create issue (gets hash ID + alias)
bd create "Fix authentication bug" -p 1
# → Created bd-af78e9a2 (alias: #1)

# Reference by alias
bd show #1
bd update #1 --status in_progress
bd close #1 --reason "Fixed"
```

### 4. ADVANCED.md
Add section on hash ID internals:
```markdown
## Hash ID Generation

Hash IDs are generated deterministically:

```go
SHA256(title || description || timestamp || workspace_id)[:8]
```

**Collision probability**:
- 8 hex chars = 2^32 space = ~4 billion IDs
- Birthday paradox: 50% collision probability at ~65,000 issues
- For typical projects (<10,000 issues), collision risk is negligible

**Collision detection**:
If a hash collision occurs (extremely rare), beads:
1. Detects on insert (UNIQUE constraint)
2. Appends random suffix: `bd-af78e9a2-a1b2`
3. Retries insert

## Alias Conflict Resolution

When multiple clones assign same alias to different issues:

**Strategy**: Content-hash ordering (deterministic)
- Sort conflicting issue IDs lexicographically
- Lowest hash ID keeps the alias
- Others reassigned to next available aliases

**Example**:
```
Clone A: Assigns #42 to bd-a1b2c3d4
Clone B: Assigns #42 to bd-e5f6a7b8
After sync: bd-a1b2c3d4 keeps #42 (lower hash)
            bd-e5f6a7b8 gets #100 (next available)
```
```

### 5. MIGRATION.md (new file)
```markdown
# Migrating to Hash-Based IDs (v2.0)

## Overview
Beads v2.0 introduces hash-based IDs to eliminate collision problems. This is a **breaking change** requiring migration.

## Migration Steps

### 1. Backup
```bash
cp -r .beads .beads.backup
git commit -am "Pre-migration backup"
```

### 2. Run Migration
```bash
# Dry run first
bd migrate --hash-ids --dry-run

# Apply migration
bd migrate --hash-ids
```

### 3. Commit Changes
```bash
git add .beads/issues.jsonl
git commit -m "Migrate to hash-based IDs (v2.0)"
git push origin main
```

### 4. Coordinate with Collaborators
All clones must migrate before syncing:
1. Notify team: "Migrating to v2.0 on [date]"
2. All collaborators pull latest
3. All run `bd migrate --hash-ids`
4. All push changes
5. Resume normal work

## Rollback
```bash
# Restore backup
mv .beads.backup .beads
bd export  # Regenerate JSONL
git checkout .beads/issues.jsonl
```

## FAQ

**Q: Can I mix v1.x and v2.0 clones?**
A: No. All clones must be on same version.

**Q: Will my old issue IDs work?**
A: No, but aliases preserve the numbers: bd-1c63eb84 → #1

**Q: What happens to links like "see bd-cb64c226.3"?**
A: Migration updates all text references automatically.
```

### 6. CHANGELOG.md
```markdown
## v2.0.0 (YYYY-MM-DD)

### Breaking Changes
- **Hash-based IDs**: Issues now use collision-free hash IDs (bd-af78e9a2)
  instead of sequential IDs (bd-1c63eb84, bd-9063acda)
- **Aliasing system**: Human-friendly aliases (#42) for hash IDs
- **Migration required**: Run `bd migrate --hash-ids` to convert v1.x databases

### Added
- `bd alias` command for manual alias control
- `bd migrate --hash-ids` migration tool
- Alias conflict resolution (deterministic, content-hash ordering)

### Removed
- ID collision detection and resolution (~2,100 LOC)
- `bd import --resolve-collisions` flag (no longer needed)

### Benefits
- ✅ Zero ID collisions in distributed workflows
- ✅ Simpler codebase (-1,350 net LOC)
- ✅ Better git merge behavior
- ✅ True offline-first operation
```

## Testing
- Build docs locally (if using doc generator)
- Check all links work
- Verify examples are correct
- Spellcheck

## Files to Create/Modify
- README.md (hash ID section)
- AGENTS.md (workflow updates)
- ADVANCED.md (internals)
- MIGRATION.md (new)
- CHANGELOG.md (v2.0 entry)
- docs/ (any other docs)


Production Readiness (Optional)

Enable multi-machine deployments with containerization and monitoring.


Add validation and documentation for metadata key format

## Issues

### 1. No validation that keySuffix doesn't contain separator
```go
if keySuffix != "" {
    hashKey += ":" + keySuffix  // ❌ What if keySuffix contains ":"?
}
```

Add validation:
```go
if strings.Contains(keySuffix, ":") {
    return fmt.Errorf("keySuffix cannot contain ':' separator")
}
```

### 2. Inconsistent keySuffix semantics
Empty string means "global", non-empty means "scoped". Better to always pass explicit key:
```go
const (
    SingleRepoKey = "."
    // Multi-repo uses source_repo identifier
)
```

### 3. Metadata key format not documented
Need to document:
- `last_import_hash` - single-repo mode
- `last_import_hash:<repo_key>` - multi-repo mode
- `last_import_time` - when last import occurred
- `last_import_mtime` - fast-path optimization

Add to internal/storage/sqlite/schema.go or docs/


Assigned issue


Add 'When to use daemon mode' decision tree to daemon.md

**Problem:**
Users (especially local-only developers) see daemon-related messages but don't understand:
- What daemon mode does (git sync automation)
- Whether they need it
- Why they see "daemon_unsupported" messages

Related to issue #349 item #3.

**Current state:**
commands/daemon.md explains WHAT daemon does but not WHEN to use it.

**Proposed addition:**
Add a "When to Use Daemon Mode" section after line 20 in commands/daemon.md with clear decision criteria:

**✅ You SHOULD use daemon mode if:**
- Working in a team with git remote sync
- Want automatic commit/push of issue changes
- Need background auto-sync (5-second debounce)
- Making frequent bd commands (performance benefit)

**❌ You DON'T need daemon mode if:**
- Solo developer with local-only tracking
- Working in git worktrees (use --no-daemon)
- Running one-off commands/scripts
- Debugging database issues

**Local-only users:** Direct mode is perfectly fine. Daemon mainly helps with git sync automation. You can use `bd sync` manually when needed.

**Files to modify:**
- commands/daemon.md (add section after line 20)


Audit remaining cmd/bd files for error handling consistency

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


Add comprehensive tests for show.go commands (show, update, edit, close)

Need to add tests for cmd/bd/show.go which contains show, update, edit, and close commands.

**Challenge**: The existing test patterns use rootCmd.SetArgs() and rootCmd.Execute(), but the global `store` variable needs to match what the commands use. Initial attempt created tests that failed with "no issue found" because the test's store instance wasn't the same as the command's store.

**Files to test**:
- show.go (contains showCmd, updateCmd, editCmd, closeCmd)

**Coverage needed**:
- show command (single issue, multiple issues, JSON output, with dependencies, with labels, with compaction)
- update command (status, priority, title, assignee, description, multiple fields, multiple issues)
- edit command (requires $EDITOR, may need mocking)
- close command (single issue, multiple issues, with reason, JSON output)

**Test approach**:
1. Study working test patterns in init_test.go, list_test.go, etc.
2. Ensure BEADS_NO_DAEMON=1 is set
3. Properly initialize database with bd init
4. Use the command's global store, not a separate instance
5. May need to reset global state between tests

**Success criteria**:
- All test functions pass
- Coverage for show.go increases significantly
- Tests follow existing patterns in cmd/bd/*_test.go


Add 'town report' command for aggregated swarm status

## Problem
Getting a full swarm status requires running 6+ commands:
- `town list <rig>` for each rig
- `town mail inbox` as Boss
- `bd list --status=open/in_progress` per rig

This is slow and error-prone for both humans and agents.

## Proposed Solution
Add `town report [RIG]` command that aggregates:
- All rigs with polecat states (running/stopped, awake/asleep)
- Boss inbox summary (unread count, recent senders)
- Aggregate issue counts per rig (open/in_progress/blocked)

Example output:
```
=== beads ===
Polecats: 5 (5 running, 0 stopped)
Issues: 20 open, 0 in_progress, 0 blocked

=== gastown ===
Polecats: 6 (4 running, 2 stopped)
Issues: 0 open, 0 in_progress, 0 blocked

=== Boss Mail ===
Unread: 10 | Total: 22
Recent: rictus (21:19), scrotus (21:14), immortanjoe (21:14)
```

## Acceptance Criteria
- [ ] `town report` shows all rigs
- [ ] `town report <rig>` shows single rig detail
- [ ] Output is concise and scannable
- [ ] Completes in <2 seconds


Isolate RPC server startup into rpc_server.go

Create internal/daemonrunner/rpc_server.go with StartRPC function. Move startRPCServer logic here and return typed handle.


Fix transaction conflict in TryResurrectParent

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

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

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

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

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


bd sync should not stage gitignored snapshot files

## Problem

`gitCommitBeadsDir` in `cmd/bd/sync.go` runs `git add .beads/` which stages all files in the directory, including snapshot files that are listed in `.beads/.gitignore`.

If a snapshot file (e.g., `beads.left.meta.json`) was ever committed before being added to `.gitignore`, git continues to track it. This causes merge conflicts when multiple polecats run `bd sync` concurrently, since each one modifies and commits these temporary files.

## Root Cause

Line ~568 in sync.go:
```go
addCmd := exec.CommandContext(ctx, "git", "add", beadsDir)
```

This stages everything in `.beads/`, but `.gitignore` only prevents *untracked* files from being added - it doesn't affect already-tracked files.

## Suggested Fix

Option A: After `git add .beads/`, run `git reset` on snapshot files:
```go
exec.Command("git", "reset", "HEAD", ".beads/beads.*.jsonl", ".beads/*.meta.json")
```

Option B: Stage only specific files instead of the whole directory:
```go
exec.Command("git", "add", ".beads/issues.jsonl", ".beads/deletions.jsonl", ".beads/metadata.json")
```

Option C: Detect and untrack snapshot files if they're tracked:
```go
// Check if file is tracked: git ls-files --error-unmatch <file>
// If tracked, run: git rm --cached <file>
```

Option B is probably cleanest - explicitly add only the files that should be committed.


Fix `bd sync` failure due to daemon auto-export timestamp skew

`bd sync` fails with false-positive "JSONL is newer than database" after daemon auto-export.
Root Cause: Daemon exports local changes to JSONL, updating its timestamp. `bd sync` sees JSONL.mtime > DB.mtime and assumes external changes, blocking export.
Proposed Fixes:
1. `bd sync` auto-imports if timestamp matches but content differs (or just auto-imports).
2. Content-based comparison instead of timestamp only.


Add orphan detection migration

Create migration to detect orphaned children in existing databases. Query: SELECT id FROM issues WHERE id LIKE '%.%' AND substr(id, 1, instr(id || '.', '.') - 1) NOT IN (SELECT id FROM issues). Log results, let user decide action (delete orphans or convert to top-level).


Ready issue


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


Doctor should exclude merge artifacts from 'multiple JSONL' warning

Doctor command warns about 'multiple JSONL files' when .base.jsonl and .left.jsonl merge artifacts exist. These are expected during/after merge operations and should be excluded from the warning.


Code Review Followup Summary: PR #481 + PR #551

## Merged PRs Summary

### PR #551: Persist close_reason to issues table
- ✅ Merged successfully
- ✅ Bug fix: close_reason now persisted in database column (not just events table)
- ✅ Comprehensive test coverage added
- ✅ Handles reopen case (clearing close_reason)

**Followup Issues Filed:**
- bd-lxzx: Document close_reason in JSONL export format
- bd-077e: Update CLI documentation for close_reason field

---

### PR #481: Context Engineering Optimizations (80-90% context reduction)
- ✅ Merged successfully
- ✅ Lazy tool discovery: discover_tools() + get_tool_info()
- ✅ Minimal issue models: IssueMinimal (~80% smaller than full Issue)
- ✅ Result compaction: Auto-compacts results >20 items
- ✅ All 28 tests passing
- ⚠ Breaking change: ready() and list() return type changed

**Followup Issues Filed:**
- bd-b318: Add integration tests for CompactedResult
- bd-4u2b: Make compaction settings configurable (THRESHOLD, PREVIEW_COUNT)
- bd-2kf8: Document CompactedResult response format in CONTEXT_ENGINEERING.md
- bd-pdr2: Document backwards compatibility considerations

---

## Overall Assessment

Both PRs are production-ready with solid implementations. All critical functionality works and tests pass. Followup issues focus on:
1. Documentation improvements (5 issues)
2. Integration test coverage (1 issue)
3. Configuration flexibility (1 issue)
4. Backwards compatibility guidance (1 issue)

No critical bugs or design issues found.

## Review Completed By
Code review process completed. Issues auto-created for tracking improvements.


Fix bd doctor --fix recursive message for deletions manifest

When running bd doctor --fix, if the deletions manifest check fails but there are no deleted issues in git history, the fix succeeds but doesn't create the file. The check then runs again and tells user to run bd doctor --fix - the same command they just ran.

Fix: Create empty deletions.jsonl when hydration finds no deletions, and recognize empty file as valid in the check.

Fixes: https://github.com/steveyegge/beads/issues/403


Test issue 1


Document deletions manifest in AGENTS.md and README

Parent: bd-imj

## Task
Add documentation about the deletions manifest feature.

## Locations to Update

### AGENTS.md
- Explain that deletions.jsonl is tracked in git
- Document that `bd delete` records to the manifest
- Explain cross-clone propagation mechanism

### README.md
- Brief mention in .beads directory structure section
- Link to detailed docs if needed

### docs/deletions.md (new file)
- Full technical documentation
- Format specification
- Pruning policy
- Git history fallback
- Troubleshooting

## Acceptance Criteria
- AGENTS.md updated with deletion workflow
- README.md mentions deletions.jsonl purpose
- New docs/deletions.md with complete reference


Optimize Memory backend GetIssueByExternalRef with index

Currently GetIssueByExternalRef in Memory storage uses O(n) linear search through all issues.

Current code (memory.go:282-308):
for _, issue := range m.issues {
    if issue.ExternalRef != nil && *issue.ExternalRef == externalRef {
        return &issueCopy, nil
    }
}

Proposed optimization:
- Add externalRefToID map[string]string to MemoryStorage
- Maintain it in CreateIssue, UpdateIssue, DeleteIssue
- Achieve O(1) lookup like SQLite's index

Impact: Low (--no-db mode typically has smaller datasets)
Related: bd-1022


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)


Add integration tests for multi-repo sync

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


Test numeric 1


Change default JSONL filename from beads.jsonl back to issues.jsonl throughout codebase


Benchmark Suite for Critical Operations

Extend existing benchmark suite with comprehensive benchmarks for critical operations at 10K-20K scale.

Existing benchmarks (keep these):
- cycle_bench_test.go - Cycle detection up to 5K issues (linear, tree, dense graphs)
- compact_bench_test.go - Compaction candidate queries (100 issues)
- internal/rpc/bench_test.go - Daemon vs direct mode comparison

New benchmarks to add in sqlite_bench_test.go (~10-12 total):
1. GetReadyWork - Simple, deep hierarchies, cross-linked (CRITICAL - not currently benchmarked)
2. SearchIssues - No filters, complex filters (CRITICAL - not currently benchmarked)
3. CreateIssue - Single issue creation
4. UpdateIssue - Status/priority/assignee changes
5. AddDependency - Extend to 10K/20K scale (currently only up to 5K)
6. JSONL Export - Full export performance
7. JSONL Import - Import performance

Scale levels:
- Large: 10K issues (5K open, 5K closed)
- XLarge: 20K issues (10K open, 10K closed)

Implementation:
- NEW FILE: internal/storage/sqlite/sqlite_bench_test.go
- Keep existing cycle_bench_test.go and compact_bench_test.go unchanged
- Build tag: //go:build bench
- Standard testing.B benchmarks
- b.ReportAllocs() for memory tracking
- Test both SQLite and JSONL-imported databases

Always generates CPU and memory profiles for analysis.


Audit all cmd/bd tests and group into suites

Analyze all 279 tests in cmd/bd and identify:
1. Which tests can share DB setup (most of them\!)
2. Which tests actually need isolation (export/import, git ops)
3. Optimal grouping into test suites

Create a mapping document showing:
- Current: 279 individual test functions
- Proposed: ~10-15 test suites with subtests
- Expected speedup per suite

Blocks all refactoring work.


Use TryResurrectParentChain instead of TryResurrectParent in GetNextChildID

## Context
Current bd-dvd fix uses TryResurrectParent, which only resurrects the immediate parent. For deeply nested hierarchies, this might not be sufficient.

## Example Scenario
Creating child with parent "bd-abc.1.2" where:
- bd-abc exists in DB
- bd-abc.1 was deleted (missing from DB, exists in JSONL)
- bd-abc.1.2 was deleted (missing from DB, exists in JSONL)

Current fix: Only tries to resurrect "bd-abc.1.2", fails because its parent "bd-abc.1" is missing.

## Solution
Replace TryResurrectParent with TryResurrectParentChain:

```go
if count == 0 {
    // Try to resurrect entire parent chain from JSONL history (bd-dvd fix)
    // This handles deeply nested hierarchies where intermediate parents are also missing
    resurrected, err := s.TryResurrectParentChain(ctx, parentID)
    if err != nil {
        return "", fmt.Errorf("failed to resurrect parent chain for %s: %w", parentID, err)
    }
    if !resurrected {
        return "", fmt.Errorf("parent issue %s does not exist and could not be resurrected from JSONL history", parentID)
    }
}
```

## Investigation
- Check if this scenario actually happens in practice
- TryResurrectParentChain already exists (resurrection.go:174-209)
- May be overkill if users always create parents before children

## Files
- internal/storage/sqlite/hash_ids.go

## Testing
Add test case for deeply nested resurrection


Frontend task


Support local-only git repos without remote origin

Daemon crashes when working with local git repos that don't have origin remote configured. Should gracefully degrade to local-only mode: skip git pull/push operations but maintain daemon features (RPC server, auto-flush, JSONL export).


CI failing on all 3/4 test jobs despite individual tests passing

CI has been broken for a day+ with mysterious test failures. Issue #173 on GitHub tracks this.

## Current Status
- **Lint job**: ✅ PASSING
- **Test (Linux)**: ❌ FAILING (exit code 1)
- **Test (Windows)**: ❌ FAILING (exit code 1)
- **Test Nix Flake**: ❌ FAILING (exit code 1)

## Key Observations
All three failing jobs show identical pattern:
- Individual test output shows PASS for every test
- Final result: `FAIL github.com/steveyegge/beads/cmd/bd`
- Exit code 1 despite no visible test failures
- Last visible test output before failure: "No Reason Issue" test (TestCloseCommand/close_without_reason)

## Investigation So Far
1. All tests appear to pass when examined individually
2. Likely causes:
   - Race detector finding data races during test cleanup (`-race` flag)
   - Panic/error occurring after main tests complete
   - Test harness issue not reporting actual failure
   - Possible regression from PR #203 (dependency_type changes)

## Recent CI Runs
- Run 19015040655 (latest): 3/4 failing
- Multiple recent commits tried to fix Windows/lint issues
- Agent on rrnewton/beads fork attempting fixes (2/4 passing there)

## Next Steps
1. Run tests locally with `-race -v` to see full output
2. Check for unreported test failures or panics
3. Examine test cleanup/teardown code
4. Review recent changes around close command tests
5. Consider if race detector is too sensitive or catching real issues

## Progress Update

### ✅ Fixed (commits 09bd4d3, 21a29bc)
1. **Daemon auto-import** - Always recompute content_hash in importer to avoid stale hashes
2. **TestScripts failures** - Added bd binary to PATH for shell subprocess tests
3. **Test infrastructure** - Added .gitignore to test repos, fixed last_import_time metadata

### ✅ CI Status (Run 19015638968)
- **Test (Linux)**: ✅ SUCCESS - All tests passing
- **Test (Windows)**: ❌ FAILURE - Pre-existing Windows test failures
- **Test Nix Flake**: ❌ FAILURE - Build fails with same test errors
- **Lint**: ❌ FAILURE - Pre-existing issue in migrate.go:647

### ❌ Remaining Issues (not related to original bd-1231)

**Windows failures:**
- TestFindDatabasePathEnvVar
- TestHashIDs_MultiCloneConverge
- TestHashIDs_IdenticalContentDedup
- TestDatabaseReinitialization (5 subtests)
- TestFindBeadsDir_NotFound
- TestMetricsSnapshot/uptime

**Lint failure:**
- cmd/bd/migrate.go:647:37: cleanupWALFiles - result 0 (error) is always nil (unparam)

**Nix failure:**
- Build fails during test phase with same test errors

### Next Steps
1. Investigate Windows-specific test failures
2. Fix linting issue in migrate.go
3. Debug Nix build test failures


Fix checkExistingBeadsData to be worktree-aware

The checkExistingBeadsData function in cmd/bd/init.go checks for .beads in the current working directory, but for worktrees it should check the main repository root instead. This prevents proper worktree compatibility.


Support --parent flag in daemon mode

Added support for hierarchical child issue creation using --parent flag in daemon mode. Previously only worked in direct mode.


Fix autoimport tests for content-hash collision scoring

## Overview
Three autoimport tests are failing after bd-cbed9619.4 because they expect behavior based on the old reference-counting collision resolution, but the system now uses deterministic content-hash scoring.

## Failing Tests
1. `TestAutoImportMultipleCollisionsRemapped` - expects local versions preserved
2. `TestAutoImportAllCollisionsRemapped` - expects local versions preserved
3. `TestAutoImportCollisionRemapMultipleFields` - expects specific collision resolution behavior

## Root Cause
These tests were written when ScoreCollisions used reference counting to determine which version to keep. Now it uses content-hash comparison (introduced in commit 2e87329), which produces different but deterministic results.

## Example
Old behavior: Issue with more references would be kept
New behavior: Issue with lexicographically lower content hash is kept

## Solution
Update each test to:
1. Verify the new content-hash based behavior is correct
2. Check that the remapped issue (not necessarily local/remote) has the expected content
3. Ensure dependencies are preserved on the correct remapped issue

## Acceptance Criteria
- All three autoimport tests pass
- Tests verify content-hash determinism (same collision always resolves the same way)
- Tests check dependency preservation on remapped issues
- Test documentation explains content-hash scoring expectations

## Files to Modify
- `cmd/bd/autoimport_collision_test.go`

## Testing
Run: `go test ./cmd/bd -run "TestAutoImport.*Collision" -v`


Document which files to commit after bd init --branch

GH #312 reported confusion about which files should be committed after running 'bd init --branch beads-metadata'. Updated PROTECTED_BRANCHES.md to clearly document:

1. Files that should be committed to protected branch (main):
   - .beads/.gitignore
   - .gitattributes

2. Files that are automatically gitignored
3. Files that live in the sync branch (beads-metadata)

Changes:
- Added step-by-step instructions in Quick Start section
- Added 'What lives in each branch' section to How It Works
- Clarified the directory structure diagram

Fixes: https://github.com/steveyegge/beads/issues/312


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


bd message: Add input validation for --importance flag

The --importance flag accepts any string without validation, leading to confusing server errors.

**Location:** cmd/bd/message.go:256-258

**Fix:**
- Add flag validation for: low, normal, high, urgent
- Add shell completion support
- Validate in runMessageSend before sending

**Impact:** Better UX, prevents confusing errors


Refactor create_test.go to use shared DB setup

Convert TestCreate_* functions to use test suites with shared database setup.

Example transformation:
- Before: 10 separate tests, each with newTestStore()
- After: 1 TestCreate() with 10 t.Run() subtests sharing one DB

Estimated speedup: 10x faster (1 DB setup instead of 10)


Refactor: Move staleness check inside daemon branch

## Problem

Currently ensureDatabaseFresh() is called before the daemon mode check, but it checks daemonClient != nil internally and returns early. This is redundant.

**Location:** All read commands (list.go:196, show.go:27, ready.go:102, status.go:80, etc.)

## Current Pattern

Call happens before daemon check, function checks daemonClient internally.

## Better Pattern

Move staleness check to direct mode branch only, after daemon check.

## Impact
Low - minor performance improvement (avoids one function call per command in daemon mode)

## Effort
Medium - requires refactoring 8 command files

## Priority
Low - can defer to future cleanup PR


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)


Add --lock-timeout global flag

Add new global flag to control SQLite busy_timeout.

## Implementation
1. Add to cmd/bd/main.go:
   - `lockTimeout time.Duration` global variable
   - Register flag: `--lock-timeout=<duration>` (default 30s)

2. Add config support in internal/config/config.go:
   - `v.SetDefault("lock-timeout", "30s")`
   - Read from config.yaml if not set via flag

3. Pass timeout to sqlite.New() - see next task

## Acceptance Criteria
- `bd --lock-timeout=0 list` fails immediately if DB is locked
- `bd --lock-timeout=100ms list` waits max 100ms
- Config file setting works: `lock-timeout: 100ms`
- Default remains 30s for backward compatibility

Part of bd-olc1


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.


Code Review Sweep: thorough

Perform thorough code review sweep based on accumulated activity.

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

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

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

File discovered issues with detailed reasoning and suggestions.


Sync branch integrity guards

Track sync branch parent commit. If sync branch was force-pushed, warn user and require confirmation before proceeding. Add option to reset to remote if user accepts rebase. Prevents silent corruption from forced pushes.


Implement signal-aware context in CLI commands

Replace context.Background() with signal.NotifyContext() to enable graceful cancellation.

## Context
Part of context propagation work (bd-350). Phase 1 infrastructure is complete - sqlite.New() now accepts context parameter.

## Implementation
Set up signal-aware context at the CLI entry points:

```go
ctx, cancel := signal.NotifyContext(context.Background(), os.Interrupt, syscall.SIGTERM)
defer cancel()
```

## Key Locations
- cmd/bd/main.go:438 (marked with TODO(bd-350))
- cmd/bd/daemon.go:317 (marked with TODO(bd-350))
- Other command entry points

## Benefits
- Ctrl+C cancels ongoing database operations
- Graceful shutdown on SIGTERM
- Better user experience during long operations

## Acceptance Criteria
- [ ] Ctrl+C during import cancels operation cleanly
- [ ] Ctrl+C during export cancels operation cleanly
- [ ] No database corruption on cancellation
- [ ] Proper cleanup on signal (defers execute)


Import overwrites newer local issues with older remote versions

## Problem

During git pull + import, local issues with newer updated_at timestamps get overwritten by older versions from remote JSONL.

## What Happened

Timeline:
1. 17:52 - Closed bd-df190564 and bd-b501fcc1 locally (updated_at: 2025-10-31)
2. 17:51 - Remote pushed same issues with status=open (updated_at: 2025-10-30)
3. 17:52 - Local sync pulled remote commit and imported JSONL
4. Result: Issues reverted to open despite local version being newer

## Root Cause

DetectCollisions (internal/storage/sqlite/collision.go:67-79) compares fields but doesn't check timestamps:

```go
conflictingFields := compareIssues(existing, incoming)
if len(conflictingFields) == 0 {
    result.ExactMatches = append(result.ExactMatches, incoming.ID)
} else {
    // Same ID, different content - treats as UPDATE
    result.Collisions = append(result.Collisions, &CollisionDetail{...})
}
```

Import applies incoming version regardless of which is newer.

## Expected Behavior

Import should:
1. Compare updated_at timestamps when collision detected
2. Skip update if local version is newer
3. Apply update only if remote version is newer
4. Warn on timestamp conflicts

## Solution

Add timestamp checking to DetectCollisions or importIssues:

```go
if len(conflictingFields) > 0 {
    // Check timestamps
    if !incoming.UpdatedAt.After(existing.UpdatedAt) {
        // Local is newer or same - skip update
        result.ExactMatches = append(result.ExactMatches, incoming.ID)
        continue
    }
    // Remote is newer - apply update
    result.Collisions = append(result.Collisions, &CollisionDetail{...})
}
```

## Files
- internal/storage/sqlite/collision.go
- internal/importer/importer.go

## References
- Discovered during bd-df190564, bd-b501fcc1 re-opening


Platform tests: Linux, macOS, Windows

Test event-driven mode on all platforms. Verify inotify (Linux), FSEvents (macOS), ReadDirectoryChangesW (Windows). Test fallback behavior on each.


Document 3-clone ID non-determinism in collision resolution

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

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

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


Extract daemon config functions to daemon_config.go


Optimize GetReadyWork performance - 752ms on 10K database (target: <50ms)

# Performance Analysis (10K Issue Database)

Analyzed using CPU profiles from benchmark suite on Apple M2 Pro.

## Operation Performance

| Operation                        | Time    | Allocations | Memory |
|----------------------------------|---------|-------------|--------|
| bd ready (GetReadyWork)          | ~752ms  | 167,466     | 16MB   |
| bd list (SearchIssues no filter) | ~11.6ms | 89,214      | 5.8MB  |
| bd list (SearchIssues filtered)  | ~9.2ms  | 62,365      | 3.5MB  |
| bd create (CreateIssue)          | ~2.6ms  | 146         | 8.6KB  |
| bd update (UpdateIssue)          | ~0.32ms | 364         | 15KB   |
| bd close (UpdateIssue)           | ~0.32ms | 364         | 15KB   |

**Target: <50ms for all operations on 10K database**

**Current issue: GetReadyWork is 15x over target (752ms vs 50ms)**

## Root Cause

GetReadyWork (internal/storage/sqlite/ready.go:90-128) uses recursive CTE to propagate blocking:
- 65x slower than SearchIssues
- Recalculates entire blocked issue tree on every call
- Algorithm:
  1. Find directly blocked issues via 'blocks' dependencies
  2. Recursively propagate blockage to descendants (max depth: 50)
  3. Exclude all blocked issues from results

## CPU Profile Analysis

- Database syscalls (pthread_cond_signal, syscall6): ~75%
- SQLite engine overhead: inherent to recursive CTE
- Application code (query construction): <1%

**Bottleneck is the recursive CTE query execution, not application code.**

## Optimization Recommendations

### High Impact (Likely to achieve <50ms target)

1. **Cache blocked issue calculation**
   - Add `blocked_issues` table updated on dependency changes
   - Trade write complexity for read speed (ready called >> dependency changes)
   - Eliminates recursive CTE on every read

2. **Add/verify database indexes**
   ```sql
   CREATE INDEX IF NOT EXISTS idx_dependencies_blocked
     ON dependencies(issue_id, type, depends_on_id);
   CREATE INDEX IF NOT EXISTS idx_issues_status
     ON issues(status);
   ```

### Medium Impact

3. **Reduce allocations** (167K allocations for GetReadyWork)
   - Profile `scanIssues()` for object pooling opportunities
   - Reuse slice capacity for repeated calls

### Low Impact (Not recommended)
- Query optimization for CRUD operations (already <3ms)
- Connection pooling tuning (not showing in profiles)

## Verification

Run benchmarks to validate optimization:
```bash
make bench-quick
go tool pprof -http=:8080 internal/storage/sqlite/bench-cpu-*.prof
```

Profile files automatically generated in `internal/storage/sqlite/`.


Add test coverage for internal/validation package


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.


Fix linting error in migrate.go

Linter reports error:
```
cmd/bd/migrate.go:647:37: cleanupWALFiles - result 0 (error) is always nil (unparam)
```

The `cleanupWALFiles` function always returns nil, so the error return type should be removed or the function should actually return errors when appropriate.


Add tests for helper functions (GetDirtyIssueHash, GetAllDependencyRecords, export hashes)

Several utility functions have 0% coverage:
- GetDirtyIssueHash (dirty.go)
- GetAllDependencyRecords (dependencies.go)
- GetExportHash, SetExportHash, ClearAllExportHashes (hash.go)

These are lower priority but should have basic coverage.


Add edge case tests for export metadata updates

## Current Coverage
TestExportUpdatesMetadata tests basic happy path only.

## Missing Test Cases

### 1. Multi-Repo Mode
- Export with multi-repo configuration
- Verify metadata updated for ALL JSONL files
- Critical gap (related to bd-ar2.2)

### 2. computeJSONLHash Failure
- JSONL file deleted/inaccessible after export
- Should log warning, not crash
- Verify behavior on next export

### 3. SetMetadata Failures
- Database write-protected
- Disk full
- Should log warnings, continue

### 4. os.Stat Failure
- JSONL file deleted after export, before stat
- Should handle gracefully (mtime just not updated)

### 5. Concurrent Exports
- Two daemon instances export simultaneously
- Verify metadata doesn't get corrupted
- Race condition test

### 6. Clock Skew
- System time goes backward between exports
- Verify mtime handling still works

### 7. Partial Export Failure
- Multi-repo mode: some exports succeed, some fail
- What metadata should be updated?

### 8. Large JSONL Files
- Performance test with large files (10k+ issues)
- Verify hash computation doesn't timeout

## Files
- cmd/bd/daemon_sync_test.go

## Implementation Priority
1. Multi-repo test (P1 - related to critical issue)
2. Failure handling tests (P2)
3. Performance/edge cases (P3)


deletions.jsonl gets corrupted with full issue objects instead of deletion records

## Bug Description

The deletions.jsonl file was found to contain full issue objects (like issues.jsonl) instead of deletion records.

### Expected Format (DeletionRecord)
```json
{"id":"bd-xxx","timestamp":"2025-...","actor":"user","reason":"deleted"}
```

### Actual Content Found
```json
{"id":"bd-03r","title":"Document deletions manifest...","description":"...","status":"closed",...}
```

## Impact
- bd sync sanitization step reads deletions.jsonl and removes any matching IDs from issues.jsonl
- With 60 full issue objects in deletions.jsonl, ALL 60 issues were incorrectly removed during sync
- This caused complete data loss of the issue database

## Root Cause (suspected)
Something wrote issues.jsonl content to deletions.jsonl. Possible causes:
- Export writing to wrong file
- File path confusion during sync
- Race condition between export and deletion tracking

## Related Issues
- bd-0b2: --no-git-history flag (just fixed)
- bd-4pv: export outputs only 1 issue after corruption
- bd-4t7: auto-import runs during --no-auto-import

## Reproduction
Unknown - discovered during bd sync session on 2025-11-26

## Fix
Need to investigate what code path could write issue objects to deletions.jsonl


Add monitoring and alerting

Observability for production Agent Mail server.

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

File: deployment/agent-mail/monitoring/


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.


Add docs/architecture/event_driven.md

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


Code Review: PR #481 - Context Engineering Optimizations

Comprehensive code review of the merged context engineering PR (PR #481) that reduces MCP context usage by 80-90%.

## Summary
The PR successfully implements lazy tool schema loading and minimal issue models to reduce context window usage. Overall implementation is solid and well-tested.

## Positive Findings
✅ Well-designed models (IssueMinimal, CompactedResult)
✅ Comprehensive test coverage (28 tests, all passing)
✅ Clear documentation and comments
✅ Backward compatibility preserved (show() still returns full Issue)
✅ Sensible defaults (COMPACTION_THRESHOLD=20, PREVIEW_COUNT=5)
✅ Tool catalog complete with all 15 tools documented

## Issues Identified
See linked issues for specific followup tasks.

## Context Engineering Architecture
- discover_tools(): List tool names only (~500 bytes vs ~15KB)
- get_tool_info(name): Get specific tool details on-demand
- IssueMinimal: Lightweight model for list views (~80 bytes vs ~400 bytes)
- CompactedResult: Auto-compacts results with >20 issues
- _to_minimal(): Conversion function (efficient, no N+1 issues)


Manual task


Add transaction + retry logic for N-way collision resolution

## Problem
Current N-way collision resolution fails on UNIQUE constraint violations during convergence rounds when 5+ clones sync. The RemapCollisions function is non-atomic and performs operations sequentially:
1. Delete old issues (CASCADE deletes dependencies)
2. Create remapped issues (can fail with UNIQUE constraint)
3. Recreate dependencies
4. Update text references

Failure at step 2 leaves database in inconsistent state.

## Solution
Wrap collision resolution in database transaction with retry logic:
- Make entire RemapCollisions operation atomic
- Retry up to 3 times on UNIQUE constraint failures
- Re-sync counters between retries
- Add better error messages for debugging

## Implementation
Location: internal/storage/sqlite/collision.go:342 (RemapCollisions function)

```go
// Retry up to 3 times on UNIQUE constraint failures
for attempt := 0; attempt < 3; attempt++ {
    err := s.db.ExecInTransaction(func(tx *sql.Tx) error {
        // All collision resolution operations
    })
    if !isUniqueConstraintError(err) {
        return err
    }
    s.SyncAllCounters(ctx)
}
```

## Success Criteria
- 5-clone collision test passes reliably
- No partial state on UNIQUE constraint errors
- Automatic recovery from transient ID conflicts

## References
- See beads_nway_test.go:124 for the KNOWN LIMITATION comment
- Related to-7c5915ae (transaction support)

## Progress Made

1. Added `ExecInTransaction` helper to SQLiteStorage for atomic database operations
2. Added `IsUniqueConstraintError` function to detect UNIQUE constraint violations
3. Wrapped `RemapCollisions` with retry logic (up to 3 attempts) with counter sync between retries
4. Enhanced `handleRename` to detect and handle race conditions where target ID already exists
5. Added defensive checks for when old ID has been deleted by another clone

## Test Results

The changes improve N-way collision handling but don't fully solve the problem:
- Original error: `UNIQUE constraint failed: issues.id` during first convergence round
- With changes: Test proceeds further but encounters different collision scenarios
- New error: `target ID already exists with different content` in later convergence rounds

## Root Cause Analysis

The issue is more complex than initially thought. In N-way scenarios:
1. Clone A remaps bd-1c63eb84 → test-2 → test-4
2. Clone B remaps bd-1c63eb84 → test-3 → test-4
3. Both try to create test-4, but with different intermediate states
4. This creates legitimate content collisions that require additional resolution

## Next Steps

The full solution requires:
1. Making remapping fully deterministic across clones (same input → same remapped ID)
2. OR making `handleRename` more tolerant of mid-flight collisions
3. OR implementing full transaction support for multi-step collision resolution -7c5915ae)

The retry logic added here provides a foundation but isn't sufficient for complex N-way scenarios.


Merge PR #300: gitignore upgrade feature

PR #300 is ready to merge but has rebase conflicts with main.

**Context:**
- PR implements 3 mechanisms for .beads/.gitignore upgrade (bd doctor --fix, daemon auto-upgrade, bd init idempotent)
- Conflicts resolved locally but diverged branches make push difficult
- All fixes applied: removed merge artifact, applied new gitignore template
- Clean scope: only 6 files changed (+194/-42)

**Next steps:**
1. Option A: Merge via GitHub UI (resolve conflicts in web interface)
2. Option B: Fresh rebase on main and force push
3. Verify CI passes
4. Squash and merge

PR URL: https://github.com/steveyegge/beads/pull/300
Fixes: #274


Add tests for performFlush error handling in FlushManager

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

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

In cmd/bd/flush_manager.go:269, the performFlush method is flagged by unparam as always returning nil, indicating the error return value is never used.

Add tests to determine:
- Whether performFlush can actually return errors in failure scenarios
- If error return is needed, add tests for error cases (disk full, permission denied, etc.)
- If error return is not needed, refactor to remove unused return value
- Test full export vs incremental export error handling

This ensures proper error handling in the flush mechanism and removes dead code if the return value is unnecessary.

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


Implement "bd daemons logs" subcommand

Add command to view daemon logs for a specific workspace. Requires daemon logging to file (may need separate issue for log infrastructure).


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 don't. When `bd cleanup` tries to convert a closed issue to a tombstone, this constraint fails if:
1. The issue has status='closed' but closed_at is NULL, OR
2. The issue is being converted but the tombstone creation doesn't properly handle the closed_at field

## 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:
   ```sql
   SELECT id, status, closed_at, deleted_at FROM issues WHERE id = 'bd-okh';
   ```
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


bd message: Implement full message reading functionality

The `bd message read` command is incomplete and doesn't actually fetch or display message content.

**Location:** cmd/bd/message.go:413-441

**Current Behavior:**
- Only marks message as read
- Prints placeholder text
- Doesn't fetch message body

**Expected:**
- Fetch full message from Agent Mail resource API
- Display sender, subject, timestamp, body
- Consider markdown rendering

**Blocker:** Core feature for message system MVP


Add error handling test for cmd.Help() in search command

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

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

In cmd/bd/search.go:39, the return value of cmd.Help() is not checked, flagged by errcheck linter.

Add test to verify:
- Error handling when cmd.Help() fails (e.g., output redirection fails)
- Proper error propagation to caller
- Command still exits gracefully on help error

This ensures the search command handles help errors properly and doesn't silently ignore failures.

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


Add tests for 3-way merge scenarios

Comprehensive test coverage for merge logic.

**Test cases**:
- Simple field updates (left vs right)
- Dependency merging (union + dedup)
- Timestamp handling (max wins)
- Deletion detection (deleted in one, modified in other)
- Conflict generation (incompatible changes)
- Issue resurrection prevention (bd-hv01 regression test)

**Files**:
- `internal/merge/merge_test.go`
- `cmd/bd/merge_test.go`


Create examples for common workflows

Add examples/ subdirectories: OSS contributor workflow, team branch workflow, multi-phase development, multiple personas (architect/implementer). Each with README and sample configs.


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


Improve test coverage for cmd/bd/doctor/fix (23.9% → 50%)

The doctor/fix package has only 23.9% test coverage. The doctor fix functionality is important for troubleshooting.

Current coverage: 23.9%
Target coverage: 50%


Implement `bd prime` command for AI context loading

Create a `bd prime` command that outputs AI-optimized markdown containing essential Beads workflow context. This provides an alternative to the MCP server for token-conscious users and enables context recovery after compaction/clearing.


Add date and priority filters to bd search

Add filter parity with bd list for consistent querying.

**Missing filters to add:**
- --priority, --priority-min, --priority-max
- --created-after, --created-before
- --updated-after, --updated-before
- --closed-after, --closed-before
- --empty-description, --no-assignee, --no-labels
- --desc-contains, --notes-contains

**Files to modify:**
- cmd/bd/search.go
- internal/rpc/protocol.go (SearchArgs)
- internal/storage/storage.go (Search method)

**Testing:**
- All filter combinations
- Date format parsing
- Daemon and direct mode


RPC diagnostics: BD_RPC_DEBUG timing logs

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

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


Improve test coverage for internal/syncbranch (33.0% → 70%)

The syncbranch package has only 33.0% test coverage. This package handles git sync operations and is critical for data integrity.

Current coverage: 33.0%
Target coverage: 70%


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.


Measure git operation reduction

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

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

Success Metric: ≥70% reduction in git operations


Test SQLite WASM compatibility

Verify modernc.org/sqlite works in WASM target. Child of epic bd-44d0.

## Tasks
- [ ] Compile minimal SQLite test to WASM
- [ ] Test database create/open operations
- [ ] Test query execution
- [ ] Test JSONL import/export
- [ ] Benchmark performance vs native

## Decision Point
If modernc.org/sqlite issues, evaluate ncruces/go-sqlite3 alternative.


bd-hv01: Missing cleanup of .merged temp file on failure

Problem: deletion_tracking.go:49 creates tmpMerged file but does not clean up on failure, causing disk space leak and potential interference with subsequent syncs.

Fix: Add defer os.Remove(tmpMerged) after creating temp file path.

Files: cmd/bd/deletion_tracking.go:38-89


bd delete bulk operations fight with auto-import/daemon causing data resurrection

When bulk deleting issues (e.g., 244 closed issues older than 24h), the process fights with auto-import and daemon infrastructure:

**Expected behavior:**
- Delete 244 issues from 468-issue database
- Export to JSONL (224 lines)
- Commit and push
- Result: 224 issues

**Actual behavior:**
- Delete 244 issues
- Import runs (from stale git JSONL with 468 issues)
- Resurrects deleted issues back into database
- Export writes 356 lines (not 224)
- Math: 468 - 244 = 224, but got 356 (132 issues resurrected)

**Root cause:**
Auto-import keeps re-importing from git during the delete operation, before the new JSONL is committed. The workflow is:
1. Delete from DB
2. Auto-import runs (reads old JSONL from git with deleted issues still present)
3. Issues come back
4. Export writes partially-deleted state

**Solution options:**
1. Add `--no-auto-import` flag to bulk delete operations
2. Atomic delete-export-commit operation that suppresses imports
3. Dedicated `bd prune` command that handles this correctly
4. Lock file to prevent auto-import during bulk mutations

**Impact:**
- Bulk cleanup operations don't work reliably
- Makes it nearly impossible to prune old closed issues
- Confusing UX (delete 244, but only 112 actually removed)

**FIXED**: Auto-import now skips during delete operations to prevent resurrection.

**Root cause confirmed**: Auto-import was running in PersistentPreRun before delete executed, causing it to re-import stale JSONL from git and resurrect deleted issues.

**Solution implemented**:
1. Added delete to skip list in main.go PersistentPreRun (alongside import and sync --dry-run)
2. Delete operations now complete atomically without auto-import interference
3. Added comprehensive test (TestBulkDeleteNoResurrection) to prevent regression

**Test verification**:
- Creates 20 issues, deletes 10
- Verifies no resurrection after delete
- Confirms JSONL has correct count (10 remaining)
- All existing tests still pass


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.


False positive detection by Kaspersky Antivirus (Trojan)

Kaspersky Antivirus falsely detects beads (bd.exe v0.23.1) as a Trojan (PDM:Trojan.Win32.Generic) and removes it.
Event: Malicious object detected
Component: System Watcher
Object name: bd.exe


Event-driven daemon architecture

Replace 5-second polling sync loop with event-driven architecture that reacts instantly to changes. Eliminates stale data issues while reducing CPU ~60%. Key components: FileWatcher (fsnotify), Debouncer (500ms), RPC mutation events, optional git hooks. Target latency: <500ms (vs 5000ms). See event_driven_daemon.md for full design.

Production-ready after 3 critical fixes (commit 349b892):
- Skip redundant imports (mtime check prevents self-trigger loops)
- Add server.Stop() in serverErrChan case (clean shutdown)
- Fallback ticker (60s) when watcher unavailable (ensures remote sync)

Ready to make default after integration test (bd-1f4086c5.1) passes.


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

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

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

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

Impact: False positive warnings in bd doctor output


Remove Daemon Storage Cache

The daemon's multi-repo storage cache is the root cause of stale data bugs. Since global daemon is deprecated, we only ever serve one repository, making the cache unnecessary complexity. This epic removes the cache entirely for simpler, more reliable direct storage access.


bd-hv01: Brittle string comparison breaks with JSON field reordering

## Problem
deletion_tracking.go:125 uses string comparison to detect unchanged issues:

```go
if leftLine, existsInLeft := leftIndex[id]; existsInLeft && leftLine == baseLine {
    deletions = append(deletions, id)
}
```

This breaks if:
- JSON field order changes (legal in JSON)
- Timestamps updated by import/export
- Whitespace/formatting changes
- Floating point precision varies

## Example Failure
```json
// baseLine
{"id":"bd-1","priority":1,"status":"open"}
// leftLine (same data, different order)
{"id":"bd-1","status":"open","priority":1}
```
These are semantically identical but string comparison fails.

## Fix
Parse and compare JSON semantically:
```go
func jsonEquals(a, b string) bool {
    var objA, objB map[string]interface{}
    json.Unmarshal([]byte(a), &objA)
    json.Unmarshal([]byte(b), &objB)
    return reflect.DeepEqual(objA, objB)
}
```

## Files Affected
- cmd/bd/deletion_tracking.go:125
- cmd/bd/deletion_tracking.go:134-170 (buildIDToLineMap)


Detect and warn about outdated git hooks

Users may have outdated git hooks installed that reference removed flags (e.g., --resolve-collisions). bd should detect this and warn users to reinstall.


Extract daemon logger functions to daemon_logger.go


Fix Homebrew warning about Ruby file location

Homebrew warning: Found Ruby file outside steveyegge/beads tap formula directory.
Warning points to: /opt/homebrew/Library/Taps/steveyegge/homebrew-beads/bd.rb
It should likely be inside a Formula/ directory or similar structure expected by Homebrew taps.


Test child issue


Research Go WASM compilation and modernc.org/sqlite WASM support

Investigate technical requirements for compiling bd to WASM:
- Verify modernc.org/sqlite has working js/wasm support
- Identify Go stdlib limitations in WASM (syscalls, file I/O, etc.)
- Research wasm_exec.js runtime and Node.js integration
- Document any API differences between native and WASM builds


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)


SearchIssues N+1 query causes context timeout with GetLabels

scanIssues() calls GetLabels in a loop for every issue, causing N+1 queries and context deadline exceeded errors when used with short timeouts or in-memory databases. This is especially problematic since SearchIssues already supports label filtering via SQL WHERE clauses.


Export deduplication breaks when JSONL and export_hashes table diverge

## Problem

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

## Symptoms

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

## Root Cause

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

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

## Impact

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

## Reproduction

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

## Current Workaround

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

## Proposed Solutions

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

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

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

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

## Recommended Fix

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

## Files Involved

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

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

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

### Bug Manifestation During Recovery

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

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

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

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

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

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

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

### Key Learnings

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

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

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

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

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

### Immediate Action Required

**DISABLE EXPORT DEDUPLICATION NOW**

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

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

### Long-term Fix

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


Fix G304 potential file inclusion in cmd/bd/tips.go:259

Linting issue: G304: Potential file inclusion via variable (gosec) at cmd/bd/tips.go:259:18. Error: if data, err := os.ReadFile(settingsPath); err == nil {


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 {


Centralize BD_DEBUG logging into debug package

The codebase has 43 scattered instances of `if os.Getenv("BD_DEBUG") != ""` debug checks across 6 files. Centralize into a debug logging package.

Current locations:
- `cmd/bd/main.go` - 15 checks
- `cmd/bd/autoflush.go` - 6 checks
- `cmd/bd/nodb.go` - 4 checks
- `internal/rpc/server.go` - 2 checks
- `internal/rpc/client.go` - 5 checks
- `cmd/bd/daemon_autostart.go` - 11 checks

Target structure:
```
internal/debug/
└── debug.go
```

Benefits:
- Centralized debug logging
- Easier to add structured logging later
- Testable (can mock debug output)
- Consistent debug message format

Impact: Removes 43 scattered checks, improves code clarity


Issue 1


Add database maintenance commands section to QUICKSTART.md

**Problem:**
Users don't discover `bd compact` or `bd cleanup` commands until their database grows large. These maintenance commands aren't mentioned in quickstart documentation.

Related to issue #349 item #4.

**Current state:**
docs/QUICKSTART.md ends at line 217 with "See README.md for full documentation" but has no mention of maintenance operations.

**Proposed addition:**
Add a "Database Maintenance" section after line 140 (before "Advanced: Agent Mail" section) covering:
- When database grows (many closed issues)
- How to view compaction statistics
- How to compact old issues
- How to delete closed issues
- Warning about permanence

**Example content:**
```markdown
## Database Maintenance

As your project accumulates closed issues, the database grows. Use these commands to manage size:

```bash
# View compaction statistics
bd compact --stats

# Preview compaction candidates (30+ days closed)
bd compact --analyze --json

# Apply agent-generated summary
bd compact --apply --id bd-42 --summary summary.txt

# Immediately delete closed issues (use with caution!)
bd cleanup --force
```

**When to compact:**
- Database file > 10MB with many old closed issues
- After major project milestones
- Before archiving a project phase
```

**Files to modify:**
- docs/QUICKSTART.md (add section after line 140)


Rapid 4


Update AGENTS.md with Agent Mail workflow

Update agent workflow section to include Agent Mail coordination as optional step.

Acceptance Criteria:
- Add Agent Mail to recommended workflow
- Show both with/without examples
- Update "Multi-Agent Patterns" section
- Cross-reference to AGENT_MAIL.md

File: AGENTS.md (lines 468-475)


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


WASM integration testing

Comprehensive testing of WASM build. Child of epic bd-44d0.

## Tasks
- [ ] Unit tests for WASM module
- [ ] Integration tests with real JSONL files
- [ ] Test all bd commands for parity
- [ ] Performance benchmarks
- [ ] Test in actual Claude Code Web sandbox
- [ ] Document any limitations

## Test Coverage Target
- >90% of bd CLI commands work identically


Clean up linter errors (914 total issues)

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

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

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

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

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

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


Add migration registry and simplify New()

Create migrations.go with Migration type and registry. Change New() to: openDB -> initSchema -> RunMigrations(db). This removes 8+ separate migrate functions from New().


Add guidance for self-hosting projects

The contributor-workflow-analysis.md is optimized for OSS contributors making PRs to upstream projects. However, it doesn't address projects like VC that use beads for their own development (self-hosting).

Self-hosting projects differ from OSS contributors:
- No upstream/downstream distinction (they ARE the project)
- May run automated executors (not just humans)
- In bootstrap/early phase (stability matters)
- Single team/owner (not multiple contributors with permissions)

Guidance needed on:
- When self-hosting projects should stay single-repo (default, recommended)
- When they should adopt multi-repo (team planning, multi-phase dev)
- How automated executors should handle multi-repo (if at all)
- Special considerations for projects in bootstrap phase

Examples of self-hosting projects: VC (building itself with beads), internal tools, pet projects


Test issue 2


Document error handling strategy for metadata update failures

Multiple places silently ignore metadata update failures (sync.go:614-617, import.go:320-322) with non-fatal warnings. This is intentional (degrades gracefully to mtime-based approach) but not well documented.

Add comments explaining:
- Why these failures are non-fatal
- How system degrades gracefully
- What the fallback behavior is (mtime-based detection)


Support --reason flag in daemon mode for reopen command

The reopen.go command has a TODO at line 61 to add reason as a comment once RPC supports AddComment. Currently --reason flag is ignored in daemon mode with a warning.


Document Claude Code for Web SessionStart hook

Create documentation for using bd in Claude Code for Web:

## Documentation locations
- README.md - Add Claude Code for Web section
- Create docs/CLAUDE_CODE_WEB.md with detailed instructions

## SessionStart hook example
```json
{
  "sessionStart": {
    "script": "npm install -g @beads/bd && bd init --quiet --prefix bd || true"
  }
}
```

## Documentation should cover
- How to configure SessionStart hook in .claude/settings.json
- Verification: Check bd is installed (bd --version)
- Basic workflow in Claude Code for Web
- Troubleshooting common issues
- Note about network restrictions and why npm approach works

## Examples
- Creating issues in web sandbox
- Syncing with git in web environment
- Using MCP server (if applicable)


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.


Clarify JSONL size bounds with multi-repo

The contributor-workflow-analysis.md states (line 226): 'Keep beads.jsonl small enough for agents to read (<25k)'

With multi-repo hydration, it's unclear whether this bound applies to:
- Each individual JSONL file (likely intention)
- The total hydrated size across all repos (unclear)
- Both (most conservative)

Clarification needed because:
- VC monitors .beads/issues.jsonl size to stay under limit
- With multi-repo, VC needs to know if each additional repo also has 25k limit
- Agents reading hydrated data need to know total size bounds
- Performance characteristics depend on total vs per-repo limits

Example scenario:
- Primary repo: 20k JSONL
- Planning repo: 15k JSONL
- Total hydrated: 35k
Is this acceptable or does it violate the <25k principle?


wish: list & ready show issues as hierarchy tree

`bd ready` and `bd list` just show a flat list, and it's up to the reader to parse which ones are dependent or sub-issues of others. It would be much easier to understand if they were shown in a tree format