Modify CreateIssue to support parent resurrection

Update internal/storage/sqlite/sqlite.go:182-196 to call TryResurrectParent before failing on missing parent. Coordinate with EnsureIDs changes for consistent behavior. Handle edge case where parent never existed in JSONL (fail gracefully).


Investigate jujutsu integration for beads

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


Add comprehensive tests for config.yaml issue-prefix migration

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

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

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

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


Use -short flag in CI for PR checks

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

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

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

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

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


Add optional post-merge git hook example for bd sync

Create example git hook that auto-runs bd sync after git pull/merge.

Add to examples/git-hooks/:
- post-merge hook that checks if .beads/issues.jsonl changed
- If changed: run `bd sync` automatically
- Make it optional/documented (not auto-installed)

Benefits:
- Zero-friction sync after git pull
- Complements auto-detection as belt-and-suspenders

Note: post-merge hook already exists for pre-commit/post-merge. Extend it to support sync.


Add 'bd status' command for issue database overview

Implement a bd status command that provides a quick snapshot of the issue database state, similar to how git status shows working tree state.

Expected output: Show summary including counts by state (open, in-progress, blocked, closed), recent activity (last 7 days), and quick overview without needing multiple queries.

Example output showing issue counts, recent activity stats, and pointer to bd list for details.

Proposed options: --all (show all issues), --assigned (show issues assigned to current user), --json (JSON format output)

Use cases: Quick project health check, onboarding for new contributors, integration with shell prompts or CI/CD, daily standup reference


Multi-repo hydration layer

Build core infrastructure to hydrate database from N repos (N≥1), with smart caching via file mtime tracking and routing writes to correct JSONL based on source_repo metadata.

Components:
- Config schema for repos.additional
- source_repo metadata field (which repo owns each issue)
- Hydration logic (read from N JSONLs)
- Write routing (write to correct JSONL)
- Smart caching (file mtime tracking to avoid re-parsing)
- SQLite DB as cache layer

1. Can configure N repos via config.toml
2. Database hydrates from all configured repos
3. Writes route to correct JSONL via source_repo
4. File mtime caching prevents re-parsing unchanged JSONLs
5. Query performance <100ms even with 5-10 polling interval
6. N=1 (single repo) works unchanged


Implement topological sort for import ordering

Refactor upsertIssues() to sort issues by hierarchy depth before batch creation. Ensures parents are created before children, fixing latent bug where parent-child pairs in same batch can fail if ordered wrong. Sort by dot count, create in depth-order batches (0→1→2→3).


Add topological sort utility functions

Create internal/importer/sort.go with utilities for depth-based sorting of issues. Functions: GetHierarchyDepth(id), SortByDepth(issues), GroupByDepth(issues). Include stable sorting for same-depth issues.


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).


Add fsnotify dependency to go.mod


Improve internal/daemon test coverage (currently 22.5%)

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


Investigate and upgrade to modernc.org/sqlite 1.39.1+

We had to pin modernc.org/sqlite to v1.38.2 due to a FOREIGN KEY constraint regression in v1.39.1 (SQLite 3.50.4).

**Issue:** [deleted:bd-cb64c226.2], GH #144

**Symptom:** CloseIssue fails with "FOREIGN KEY constraint failed (787)" when called via MCP/daemon, but works fine via CLI.

**Root Cause:** Unknown - likely stricter FK enforcement in SQLite 3.50.4 or modernc.org wrapper changes.

**Workaround:** Pinned to v1.38.2 (SQLite 3.49.x)

**TODO:**
1. Monitor modernc.org/sqlite releases for fixes
2. Check SQLite 3.50.5+ changelogs for FK-related fixes
3. Investigate why daemon mode fails but CLI succeeds (connection reuse? transaction isolation?)
4. Consider filing upstream issue with reproducible test case
5. Upgrade when safe


Multi-repo contributor workflow support

Implement separate repository support for OSS contributors to prevent PR pollution while maintaining git ledger and multi-clone sync. Based on contributor-workflow-analysis.md Solution #4.

See docs/contributor-workflow-analysis.md for complete design rationale.

Key architecture:
- N ≥ 1 repos (single repo default, multi-repo opt-in)
- VCS-agnostic (git, jj, hg, sapling)
- Config-based routing (no schema changes)
- Smart caching (file mtime tracking, SQLite cache)
- Global namespace (hash-based IDs)
- Cross-repo dependencies supported

1. Zero PR pollution - contributor planning never reaches upstream
2. Git ledger preserved - all repos VCS-tracked
3. Backward compatible - existing single-repo workflows unchanged
4. Sub-second query performance with polling
5. Library API stable - transparent to downstream consumers like VC


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?

- Documentation explicitly states size bound applies per-repo or total
- Rationale explained (why that bound matters)
- Guidance for monitoring size with multi-repo
- If total bound exists, formula provided (e.g., sum of all repos <25k)


bd detect-pollution - Test pollution detector

Detect test issues that leaked into production DB.

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

Optional AI scoring for confidence.

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


Add external_ref change tracking and auditing

Currently we don't track when external_ref is added, removed, or changed. This would be useful for debugging and auditing.

Proposed features:
- Log event when external_ref changes
- Track in events table with old/new values
- Add query to find issues where external_ref changed
- Add metrics: issues with external_ref vs without

Use cases:
- Debugging import issues
- Understanding which issues are externally managed
- Auditing external system linkage

Related: bd-1022


bd find-duplicates - AI-powered duplicate detection

Find semantically duplicate issues.

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

Uses embeddings by default for >100 issues.

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


Test parent issue


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.


VCS-agnostic sync support

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

Features:
- Detect VCS type per repo (.git, .jj, .hg, .sl)
- Sync adapters for each VCS type
- bd sync runs appropriate commands per repo
- Handle mixed-VCS configs (git + jj + hg)
- Fallback to manual sync if no VCS detected

Example:
bd sync auto-detects:
- . is git → git pull
- ~/.beads-planning is jj → jj git fetch && jj rebase
- ~/other is hg → hg pull && hg update

1. Detect VCS type per configured repo
2. bd sync works with git, jj, hg, sapling
3. Mixed-VCS configs supported
4. Graceful fallback if no VCS detected
5. Error messages guide user on manual sync
6. Pure git workflows unchanged


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

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

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

See repair_commands.md lines 125-353 for design.


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).


Rapid 1


Remove unreachable utility functions

Several small utility functions are unreachable:

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

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

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

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

Impact: Removes 50-100 LOC depending on decisions

- Remove unreachable functions
- If entire files can be deleted (like hash.go), delete them
- For SummarizeTier2: decide to implement or delete, document decision
- All tests pass: `go test ./...`
- Verify no callers exist for each function


Split test suites: fast vs. integration

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

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

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


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

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

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

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

## Proposed Architecture

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

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

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

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

## Implementation Phases

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

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

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

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

## Risks & Mitigations

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

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

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

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

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

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

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


Add is_tombstone flag to schema

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


Refactor path canonicalization into helper function

The path canonicalization logic (filepath.Abs + EvalSymlinks) is duplicated in 3 places:
- beads.go:131-137 (BEADS_DIR handling)
- cmd/bd/main.go:446-451 (--no-db cleanup)
- cmd/bd/nodb.go:26-31 (--no-db initialization)

Refactoring suggestion:
Extract to a helper function like:
  func canonicalizePath(path string) string

This would:
- Reduce code duplication
- Make the logic easier to maintain
- Ensure consistent behavior across all path handling

Related to bd-e16b implementation.


Rapid 2


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

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

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

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

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

Where suffix is first 4 chars of clone UUID.

## Implementation

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

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

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

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

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

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

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

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

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

## References
- Related to bd-0dcea000 (immediate fix)
- See beads_nway_test.go for failing N-way tests


Add MCP server functions for repair commands

Expose new repair commands via MCP server for agent access:

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

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

See repair_commands.md lines 803-884 for design.


Reduce sync rounds in multiclone tests

Analyze and reduce the number of sync rounds in hash multiclone tests.

Current state:
- TestHashIDs_MultiCloneConverge: 1 round of syncs across 3 clones
- TestHashIDs_IdenticalContentDedup: 2 rounds across 2 clones

Investigation needed:
- Profile to see how much time each sync takes
- Determine minimum rounds needed for convergence
- Consider making rounds configurable via env var

File: beads_hash_multiclone_test.go:70, :132


Add import.orphan_handling config option

Add configuration option to control orphan handling behavior: 'strict' (fail on missing parent, current behavior), 'resurrect' (auto-resurrect from JSONL, recommended default), 'skip' (skip orphaned issues with warning), 'allow' (import orphans without validation). Update CONFIG.md documentation.


Add unit tests for import ordering

Test topological sort: import [child, parent] should succeed, import [parent.1.2, parent, parent.1] should sort correctly. Verify depth-based batching works. Test max depth limits.


Add migration guide for library consumers

The contributor-workflow-analysis.md has excellent migration examples for CLI users (lines 508-549) but lacks examples for library consumers like VC that use beadsLib in Go/TypeScript code.

Library consumers need to know:
- Whether their existing code continues to work unchanged (backward compatibility)
- How config.toml is automatically read (transparent hydration)
- When and how to use explicit multi-repo configuration
- What happens if config.toml doesn't exist (defaults)

Example needed:
```go
// Before (v0.17.3)
store, err := beadsLib.NewSQLiteStorage(".beads/vc.db")

// After (v0.18.0 with multi-repo) - still works!
store, err := beadsLib.NewSQLiteStorage(".beads/vc.db")
// Automatically reads .beads/config.toml if present

// Explicit multi-repo (if needed)
cfg := beadsLib.Config{
    Primary: ".beads/vc.db",
    Additional: []string{"~/.beads-planning"},
}
store, err := beadsLib.NewStorageWithConfig(cfg)
```

- Section added to contributor-workflow-analysis.md for library consumers
- Code examples showing backward compatibility
- Code examples showing explicit multi-repo configuration
- Guidance on when library consumers should use multi-repo vs single-repo


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-2752a7a2, bd-9826b69a.

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


Add tests for internal/autoimport package

Currently 0.0% coverage. Need tests for auto-import functionality that detects and imports updated JSONL files.


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).


Remove unreachable RPC methods

Several RPC server and client methods are unreachable and should be removed:

Server methods (internal/rpc/server.go):
- `Server.GetLastImportTime` (line 2116)
- `Server.SetLastImportTime` (line 2123)
- `Server.findJSONLPath` (line 2255)

Client methods (internal/rpc/client.go):
- `Client.Import` (line 311) - RPC import not used (daemon uses autoimport)

Evidence:
```bash
go run golang.org/x/tools/cmd/deadcode@latest -test ./...
```

Impact: Removes ~80 LOC of unused RPC code

- Remove the 4 unreachable methods (~80 LOC total)
- Verify no callers: `grep -r "GetLastImportTime\|SetLastImportTime\|findJSONLPath" .`
- All tests pass: `go test ./internal/rpc/...`
- Daemon functionality works: test daemon start/stop/operations


Add depth-based batch creation in upsertIssues

Replace single batch creation with depth-level batching (max depth 3). Create issues at depth 0, then 1, then 2, then 3. Prevents parent validation errors when importing hierarchical issues in same batch. File: internal/importer/importer.go:534-546


Auto-routing and maintainer detection

Implement intelligent routing to automatically send new issues to correct repo based on user's maintainer vs contributor status, with discovered issues inheriting parent's source_repo.

Features:
- Detect maintainer vs contributor (git config, permissions)
- Config-based routing rules (no schema changes)
- Auto-route 'bd add' to primary or planning repo
- Discovered issues inherit parent's source_repo
- Explicit override via --repo flag

Config schema:
[routing]
mode = "auto"  # auto | explicit
default = "~/.beads-planning"
[routing.auto]
maintainer = "."
contributor = "~/.beads-planning"

1. Auto-detect maintainer vs contributor status
2. Route bd add to correct repo automatically
3. Discovered issues inherit parent's source_repo
4. --repo flag overrides auto-routing
5. Config allows explicit routing rules
6. Works without breaking single-repo workflows


Migration and onboarding for multi-repo

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

Components:
- Migration guide documentation
- bd migrate command to move issues between repos
- bd init --contributor wizard for OSS setup
- bd init --team wizard for team setup
- Auto-detect scenarios and prompt users
- Examples for common workflows (OSS, multi-phase, personas)

Scenarios:
1. OSS contributor (fork workflow)
2. Team member (branch workflow)
3. Multi-phase development
4. Multiple personas (architect/implementer)

1. Migration guide covers all scenarios
2. bd migrate moves issues with filtering
3. Init wizards guide common setups
4. Examples demonstrate key workflows
5. Auto-detection prompts users when appropriate
6. Docs updated with multi-repo patterns
7. Backward compatibility clearly documented


Rapid 5


Add unit tests for config modes

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


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

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

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

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

Where suffix is first 4 chars of clone UUID.

## Implementation

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

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

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

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

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

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

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

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

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

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


Update docs for import bug fix

Update AGENTS.md, README.md, TROUBLESHOOTING.md with import.orphan_handling config documentation. Document resurrection behavior, tombstones, config modes. Add troubleshooting section for import failures with deleted parents.


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


Add internal/ai package for LLM integration

Shared AI client for repair commands.

Providers:
- Anthropic (Claude)
- OpenAI (GPT)
- Ollama (local)

Env vars:
- BEADS_AI_PROVIDER
- BEADS_AI_API_KEY
- BEADS_AI_MODEL

Files: internal/ai/client.go (new)


Document external_ref in content hash behavior

The content hash includes external_ref, which has implications that should be documented.

Current behavior:
- external_ref is included in content hash calculation (collision.go:158-160)
- Changing external_ref changes content hash
- This means: local issue → add external_ref → different hash

Implications:
- Local issue + external_ref addition = looks like 'new content'
- May not match by content hash in some scenarios
- Generally correct behavior, but subtle

Action items:
- Document in code comments
- Add to ARCHITECTURE.md or similar
- Add test demonstrating this behavior
- Consider if this is desired long-term

Related: bd-1022
Files: internal/storage/sqlite/collision.go:158-160


Improve integration test coverage for stateful features

## Context

bd-70419816 revealed a critical gap: the export deduplication feature had unit tests but no integration tests simulating real-world git operations. This led to silent data loss in production.

## Root Cause
- Unit tests only tested functions in isolation
- No integration tests for git operations (pull, reset, checkout) modifying JSONL
- No tests validating export_hashes and JSONL stay in sync
- Missing tests for stateful distributed system interactions (DB + JSONL + git)

## Completed (bd-70419816)
✓ TestJSONLIntegrityValidation - unit tests for validation logic
✓ TestImportClearsExportHashes - tests import clears hashes
✓ TestExportIntegrityAfterJSONLTruncation - simulates git reset (would have caught bd-70419816)
✓ TestExportIntegrityAfterJSONLDeletion - tests recovery from file deletion
✓ TestMultipleExportsStayConsistent - tests repeated exports

## Still Needed (High Priority)
1. Multi-repo sync test - two clones staying in sync after push/pull
2. Auto-flush integration test - JSONL integrity preserved during auto-flush
3. Daemon auto-sync integration test - complex state management
4. Import after corruption test - recovery from partial data loss

## Medium Priority
- Partial export failure handling (disk full, network interruption)
- Concurrent export/import race conditions
- Large dataset performance tests (1000+ issues)
- Export hash migration tests (version upgrades)

## Testing Principles
1. Test real-world scenarios: git ops, user errors, system failures, concurrent ops
2. Integration tests for stateful systems (DB + files + git)
3. Regression test for every bug fix
4. Test invariants: JSONL count == DB count, hash consistency, etc.

## Key Lesson
Stateful distributed systems need integration tests, not just unit tests.

- [ ] Multi-repo sync test implemented
- [ ] Auto-flush integration test implemented
- [ ] Daemon auto-sync integration test implemented
- [ ] Testing guidelines added to CONTRIBUTING.md
- [ ] CI runs integration tests
- [ ] All critical workflows have integration test coverage


Support separate branch for beads commits

Allow beads to commit to a separate branch (e.g., beads-metadata) using git worktrees to support protected main branch workflows.

Solves GitHub Issue #205 - Users need to protect main branch while maintaining beads workflow.

Key advantages:
- Works on any git platform
- Main branch stays protected
- No disruption to user's working directory
- Backward compatible (opt-in via config)
- Minimal disk overhead (sparse checkout)

Total estimate: 17-24 days (4-6 weeks with parallel work)


GH#146: No color showing in terminal for some users

User reports color not working in macOS (Taho 26.0.1) with iTerm 3.6.4 and Terminal.app, despite color working elsewhere in terminal. Python rich and printf escape codes work.

Need to investigate:
- Is NO_COLOR env var set?
- Terminal type detection?
- fatih/color library configuration
- Does bd list show colors? bd ready? bd init?
- What's the output of: echo $TERM, echo $NO_COLOR


Update LINTING.md with current baseline

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


Fix :memory: database connection pool issue causing "no such table" errors

Critical bug in v0.21.6 where :memory: databases with cache=shared create multiple connections in the pool, causing intermittent "no such table" errors. SQLite's shared cache for in-memory databases only works reliably with a single connection.

Root cause: Missing db.SetMaxOpenConns(1) after sql.Open() for :memory: databases.

Impact: 37 test failures in VC project, affects all consumers using :memory: for testing.

- Add db.SetMaxOpenConns(1) for :memory: databases only
- Verify VC test suite passes (37 previously failing tests)
- Add a test in Beads that reproduces the issue
- Document the pool limitation in code comments
- Release as Beads v0.21.7


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`


Wire config to import pipeline

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


Add ON DELETE CASCADE to child_counters schema

Update schema.go child_counters table foreign key with ON DELETE CASCADE. When parent deleted, child counter should also be deleted. If parent is resurrected, counter gets recreated from scratch. Add migration for existing databases.


Audit Current Cache Usage

Understand exactly what code depends on the storage cache

- Document showing all cache dependencies
- Confirmation that removing cache won't break MCP
- List of tests that need updating

Files to examine:
- internal/rpc/server_cache_storage.go (cache implementation)
- internal/rpc/client.go (how req.Cwd is set)
- internal/rpc/server_*.go (all getStorageForRequest calls)
- integrations/beads-mcp/ (MCP multi-repo logic)

Tasks:
- Document all callers of getStorageForRequest()
- Verify req.Cwd is only set by RPC client for database discovery
- Confirm MCP server doesn't rely on multi-repo cache behavior
- Check if any tests assume multi-repo routing
- Review environment variables: BEADS_DAEMON_MAX_CACHE_SIZE, BEADS_DAEMON_CACHE_TTL, BEADS_DAEMON_MEMORY_THRESHOLD_MB


Add unit tests for parent resurrection

Test resurrection with deleted parent (should succeed), resurrection with never-existed parent (should fail gracefully), multi-level resurrection (bd-abc.1.2 with both parents missing). Verify tombstone creation and is_tombstone flag.


Add docs/architecture/event_driven.md

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


Add internal/ai package for AI-assisted repairs

Add AI integration package to support AI-powered repair commands.

Providers:
- Anthropic (Claude)
- OpenAI
- Ollama (local)

Features:
- Conflict resolution analysis
- Duplicate detection via embeddings
- Configuration via env vars (BEADS_AI_PROVIDER, BEADS_AI_API_KEY, etc.)

See repair_commands.md lines 357-425 for design.


Migration tool for existing users

Ensure smooth migration for existing users to separate branch workflow.

Tasks:
- Add bd migrate --separate-branch command
- Detect existing repos, migrate cleanly
- Preserve git history
- Add rollback mechanism
- Test migration on beads' own repo (dogfooding)
- Communication plan (GitHub discussion, docs)
- Version compatibility checks

Estimated effort: 2-3 days

- Existing users can migrate without data loss
- Rollback works if migration fails
- Clear communication about breaking changes (if any)
- beads project itself migrated successfully (dogfooding)
- Migration tested on 5+ real-world repos


Implement TryResurrectParent function

Create internal/storage/sqlite/resurrection.go with TryResurrectParent(ctx, parentID) function. Parse JSONL history to find deleted parent, create tombstone with status=deleted and is_tombstone=true flag. Handle recursive resurrection for multi-level missing parents (bd-abc.1.2 with missing bd-abc and bd-abc.1).


Add embedding generation for duplicate detection

Use embeddings for scalable duplicate detection.

Model: text-embedding-3-small (OpenAI) or all-MiniLM-L6-v2 (local)
Storage: SQLite vector extension or in-memory
Cost: ~/bin/bash.0002 per 100 issues

Much cheaper than LLM comparisons for large databases.

Files: internal/embeddings/ (new package)


Fix import failure on missing parent issues

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


Import validation falsely reports data loss on collision resolution

## Problem

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

## Example

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

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

## Impact

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

## Solution

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

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


Add MCP functions for repair commands

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

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


Modify EnsureIDs to support parent resurrection

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


Rapid 3


Add import metrics for external_ref matching statistics

Add observability for external_ref matching behavior during imports to help debug and optimize import operations.

Metrics to track:
- Number of issues matched by external_ref
- Number of issues matched by ID
- Number of issues matched by content hash
- Number of external_ref updates vs creates
- Average import time with vs without external_ref

Output format:
- Add to ImportResult struct
- Include in import command output
- Consider structured logging

Use cases:
- Debugging slow imports
- Understanding match distribution
- Optimizing import performance

Related: bd-1022


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)


Improve timestamp comparison readability in import

The timestamp comparison logic uses double-negative which can be confusing:

Current code:
if !incoming.UpdatedAt.After(existing.UpdatedAt) {
    // skip update
}

More readable:
if incoming.UpdatedAt.After(existing.UpdatedAt) {
    // perform update
} else {
    // skip (local is newer)
}

This is a minor refactor for code clarity.

Related: bd-1022
Files: internal/importer/importer.go:411, 488


Rapid 4


Update AGENTS.md and README.md with "bd daemons" documentation

Document the new "bd daemons" command and all subcommands in AGENTS.md and README.md. Include examples and troubleshooting guidance.


Code Health & Technical Debt Cleanup

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

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

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

Estimated Effort: 11 days across 4 phases

- All unreachable code identified by `deadcode` analyzer is removed
- RPC server split into <500 LOC files with clear responsibilities
- Duplicate utility functions centralized
- Test coverage maintained or improved
- All tests passing
- Documentation updated


Consider central serialization package for JSON handling

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

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

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

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

Decision point: Evaluate if benefits outweigh refactoring cost

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

- Create serialization package with documented JSON format
- Migrate export/import to use centralized serialization
- All existing JSONL files can be read with new code
- All tests pass: `go test ./...`
- Export/import round-trip works perfectly
- RPC protocol unchanged (or backwards compatible)

deduplication optional phase-3 refactor serialization


Update documentation after code health cleanup

Update all documentation to reflect code structure changes after cleanup phases complete.

Documentation to update:
1. **AGENTS.md** - Update file structure references
2. **CONTRIBUTING.md** (if exists) - Update build/test instructions
3. **Code comments** - Update any outdated references
4. **Package documentation** - Update godoc for reorganized packages

New documentation to add:
1. **internal/util/README.md** - Document shared utilities
2. **internal/debug/README.md** - Document debug logging
3. **internal/rpc/README.md** - Document new file organization
4. **internal/storage/sqlite/migrations/README.md** - Migration system docs

Impact: Keeps documentation in sync with code

- All documentation references to deleted files removed
- New package READMEs written
- Code comments updated for reorganized code
- Migration guide for developers (if needed)
- Architecture diagrams updated (if they exist)


Audit and consolidate collision test coverage

The codebase has 2,019 LOC of collision detection tests across 3 files. Run coverage analysis to identify redundant test cases and consolidate.

Test files:
- `cmd/bd/import_collision_test.go` - 974 LOC
- `cmd/bd/autoimport_collision_test.go` - 750 LOC
- `cmd/bd/import_collision_regression_test.go` - 295 LOC

Total: 2,019 LOC of collision tests

Analysis steps:
1. Run coverage analysis
2. Identify redundant tests
3. Document findings

Consolidation strategy:
- Keep regression tests for critical bugs
- Merge overlapping table-driven tests
- Remove redundant edge case tests covered elsewhere
- Ensure all collision scenarios still tested

Expected outcome: Reduce to ~1,200 LOC (save ~800 lines) while maintaining coverage

Impact: Faster test runs, easier maintenance, clearer test intent

- Coverage analysis completed and documented
- Redundant tests identified (~800 LOC estimated)
- Consolidated test suite maintains or improves coverage
- All remaining tests pass: `go test ./cmd/bd/...`
- Test run time unchanged or faster
- Document which tests were removed and why
- Coverage percentage maintained: `go test -cover ./cmd/bd/` shows same %


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

- Create `internal/debug/debug.go` with `Enabled`, `Logf`, `Printf`
- Add unit tests in `internal/debug/debug_test.go` (test with/without BD_DEBUG)
- Replace all 43 instances of `os.Getenv("BD_DEBUG")` checks with `debug.Logf()`
- Verify debug output works: run with `BD_DEBUG=1 bd status`
- All tests pass: `go test ./...`
- No behavior change (output identical to before)


Extract normalizeLabels to shared utility package

The `normalizeLabels` function appears in multiple locations with identical implementation. Extract to a shared utility package.

Current locations:
- `internal/rpc/server.go:37` (53 lines) - full implementation
- `cmd/bd/list.go:50-52` - uses the server version (needs to use new shared version)

Function purpose:
- Trims whitespace from labels
- Removes empty strings
- Deduplicates labels
- Preserves order

Target structure:
```
internal/util/
├── strings.go         # String utilities
    └── NormalizeLabels([]string) []string
```

Impact: DRY principle, single source of truth, easier to test

- Create `internal/util/strings.go` with `NormalizeLabels`
- Add comprehensive unit tests in `internal/util/strings_test.go`
- Update `internal/rpc/server.go` to import and use `util.NormalizeLabels`
- Update `cmd/bd/list.go` to import and use `util.NormalizeLabels`
- Remove duplicate implementations
- All tests pass: `go test ./...`
- Verify label normalization works: test `bd list --label` commands


Extract SQLite migrations into separate files

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

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

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

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

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

- All 11 migrations extracted to separate files
- Migration version tracking in database
- Migrations run in order on fresh database
- Existing databases upgrade correctly
- All tests pass: `go test ./internal/storage/sqlite/...`
- Database initialization time unchanged or improved
- Add migration rollback capability (optional, nice-to-have)


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


Use in-memory filesystem for test git operations

Use tmpfs/ramdisk for git operations in tests to reduce I/O overhead.

Options:
1. Mount /tmp as tmpfs in CI (GitHub Actions supports this)
2. Use Go's testing.TB.TempDir() which may already use tmpfs on some systems
3. Explicitly create ramdisk for tests on macOS

Expected savings: 20-30% reduction in git operation time


Proposal workflow (propose/withdraw/accept)

Implement commands and state machine for moving issues between personal planning repos and canonical upstream repos, enabling contributors to propose work without polluting PRs.

Commands:
- bd propose <id> [--target <repo>] - Move issue to target repo
- bd withdraw <id> - Un-propose (move back)
- bd accept <id> - Maintainer accepts proposal

Visibility states:
- local: Personal planning only
- proposed: Staged for upstream PR
- canonical: Accepted by upstream (default for existing)

Optional visibility field (backward compatible, defaults to canonical)

1. bd propose moves issue from planning to primary repo
2. bd withdraw reverses proposal
3. bd accept (maintainer) finalizes acceptance
4. Visibility field tracks state (local/proposed/canonical)
5. Backward compatible - existing issues default to canonical
6. State transitions are atomic and git-tracked


Optimize CLI test suite - eliminate redundant git init calls

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


Optimize test suite performance - cut runtime by 50%+

## Problem
Test suite takes ~20.8 seconds, with 95% of time spent in just 2 tests:
- TestHashIDs_MultiCloneConverge: 11.08s (53%)
- TestHashIDs_IdenticalContentDedup: 8.78s (42%)

Both tests in beads_hash_multiclone_test.go perform extensive Git operations (bare repos, multiple clones, sync rounds).

## Goal
Cut total test time by at least 50% (to ~10 seconds or less).

## Analysis
Tests already have some optimizations:
- --shared --depth=1 --no-tags for fast cloning
- Disabled hooks, gc, fsync
- Support -short flag

## Impact
- Faster development feedback loop
- Reduced CI costs and time
- Better developer experience


Add t.Parallel() to slow hash multiclone tests

Add t.Parallel() to TestHashIDs_MultiCloneConverge and TestHashIDs_IdenticalContentDedup so they run concurrently.

Expected savings: ~10 seconds (from 20s to ~11s)

Implementation:
- Add t.Parallel() call at start of each test function
- Verify tests don't share resources that would cause conflicts
- Run tests to confirm they work in parallel

File: beads_hash_multiclone_test.go:34, :101


Clarify exclusive lock protocol compatibility with multi-repo

The contributor-workflow-analysis.md proposes per-repo file locking (Decision #7) using flock on JSONL files. However, VC (a downstream library consumer) uses an exclusive lock protocol (vc-195, requires Beads v0.17.3+) that allows bd daemon and VC executor to coexist.

Need to clarify:
- Does the proposed per-repo file locking work with VC's existing exclusive lock protocol?
- Do library consumers like VC need to adapt their locking logic?
- Can multiple repos be locked atomically for cross-repo operations?

Context: contributor-workflow-analysis.md lines 662-681

- Documentation explicitly states compatibility or incompatibility with existing lock protocols
- If incompatible, migration path is documented for library consumers
- If compatible, example showing coexistence is provided


Add performance benchmarks for multi-repo hydration

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

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

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

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

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

- Performance benchmark suite created for multi-repo hydration
- Benchmarks cover file stat, hydration, and query times
- Tests at N=1, N=3, N=10 repo scales
- Results documented in contributor-workflow-analysis.md
- Performance targets met or issues filed for optimization


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

- Section added: 'For Projects Using Beads for Self-Hosting'
- Clear guidance on when to stay single-repo vs adopt multi-repo
- Recommendations for automated executor behavior with multi-repo
- Bootstrap phase considerations documented