Adds a new command that displays a thank you page listing all human
contributors to the beads project. Features:
- Static list of contributors (compiled into binary)
- Top 20 featured contributors displayed in columns
- Additional contributors in wrapped list
- Styled output using lipgloss (colored box, sections)
- Dynamic width based on content
- JSON output support (--json flag)
- Excludes bots and AI agents by email pattern
Adds comprehensive Git worktree support for beads issue tracking:
Core changes:
- New internal/git/gitdir.go package for worktree detection
- GetGitDir() returns proper .git location (main repo, not worktree)
- Updated all hooks to use git.GetGitDir() instead of local helper
- BeadsDir() now prioritizes main repository's .beads directory
Features:
- Hooks auto-install in main repo when run from worktree
- Shared .beads directory across all worktrees
- Config option no-install-hooks to disable auto-install
- New bd worktree subcommand for diagnostics
Documentation:
- New docs/WORKTREES.md with setup instructions
- Updated CHANGELOG.md and AGENT_INSTRUCTIONS.md
Testing:
- Updated tests to use exported git.GetGitDir()
- Added worktree detection tests
Co-authored-by: Claude <noreply@anthropic.com>
Closes: #478
* fix(daemon): check for stale startlock before waiting 5 seconds
When a previous daemon startup left behind a bd.sock.startlock file
(e.g., from a crashed process), the code was waiting 5 seconds before
checking if the lock was stale. This caused unnecessary delays on
every bd command when the daemon wasn't running.
Now checks if the PID in the startlock file is alive BEFORE waiting.
If the PID is dead or unreadable, the stale lock is cleaned up
immediately and lock acquisition is retried.
Fixes ~5s delay when startlock file exists from crashed process.
* perf: add benchmarks for large descriptions, bulk operations, and sync merge
Added three new performance benchmarks to identify bottlenecks in common operations:
1. BenchmarkLargeDescription - Tests handling of 100KB+ issue descriptions
- Measures string allocation/parsing overhead
- Result: 3.3ms/op, 874KB/op allocation
2. BenchmarkBulkCloseIssues - Tests closing 100 issues sequentially
- Measures batch write performance
- Result: 1.9s total, shows write amplification
3. BenchmarkSyncMerge - Tests JSONL merge cycle with creates/updates
- Simulates real sync operations (10 creates + 10 updates per iteration)
- Result: 29ms/op, identifies sync bottlenecks
Added BENCHMARKS.md documentation describing:
- How to run benchmarks with various options
- All available benchmark categories
- Performance targets on M2 Pro hardware
- Dataset caching strategy
- CPU profiling integration
- Optimization workflow
This completes performance testing coverage for previously unmeasured scenarios.
* docs: clarify daemon lock acquisition logic in comments
Improve comments to clarify that acquireStartLock does both:
1. Immediately check for stale locks from crashed processes (avoids 5s delay)
2. If PID is alive, properly wait for legitimate daemon startup (5s timeout)
No code changes - only clarified comment documentation for maintainability.
---------
Co-authored-by: Steve Yegge <steve.yegge@gmail.com>
* feat: add performance testing framework foundation
Implements foundation for comprehensive performance testing and user
diagnostics for beads databases at 10K-20K scale.
Components added:
- Fixture generator (internal/testutil/fixtures/) for realistic test data
* LargeSQLite/XLargeSQLite: 10K/20K issues with epic hierarchies
* LargeFromJSONL/XLargeFromJSONL: test JSONL import path
* Realistic cross-linked dependencies, labels, assignees
* Reproducible with seeded RNG
- User diagnostics (bd doctor --perf) for field performance data
* Collects platform info (OS, arch, Go/SQLite versions)
* Measures key operation timings (ready, list, show, search)
* Generates CPU profiles for bug reports
* Clean separation in cmd/bd/doctor/perf.go
Test data characteristics:
- 10% epics, 30% features, 60% tasks
- 4-level hierarchies (Epic → Feature → Task → Subtask)
- 20% cross-epic blocking dependencies
- Realistic status/priority/label distributions
Supports bd-l954 (Performance Testing Framework epic)
Closes bd-6ed8, bd-q59i
* perf: optimize GetReadyWork with compound index (20x speedup)
Add compound index on dependencies(depends_on_id, type, issue_id) to
eliminate performance bottleneck in GetReadyWork recursive CTE query.
Performance improvements (10K issue database):
- GetReadyWork: 752ms → 36.6ms (20.5x faster)
- Target: <50ms ✓ ACHIEVED
- 20K database: ~1500ms → 79.4ms (19x faster)
Benchmark infrastructure enhancements:
- Add dataset caching in /tmp/beads-bench-cache/ to avoid regenerating
10K-20K issues on every benchmark run (first run: ~2min, subsequent: <5s)
- Add progress logging during fixture generation (shows 10%, 20%... completion)
- Add database size logging (17.5 MB for 10K, 35.1 MB for 20K)
- Document rationale for only benchmarking large datasets (>10K issues)
- Add CPU/trace profiling with --profile flag for performance debugging
Schema changes:
- internal/storage/sqlite/schema.go: Add idx_dependencies_depends_on_type_issue
New files:
- internal/storage/sqlite/bench_helpers_test.go: Reusable benchmark setup with caching
- internal/storage/sqlite/sqlite_bench_test.go: Comprehensive benchmarks for critical operations
- Makefile: Convenient benchmark execution (make bench-quick, make bench)
Related:
- Resolves bd-5qim (optimize GetReadyWork performance)
- Builds on bd-6ed8 (fixture generator), bd-q59i (bd doctor --perf)
* perf: add WASM compilation cache to eliminate cold-start overhead
Configure wazero compilation cache for ncruces/go-sqlite3 to avoid
~220ms JIT compilation on every process start.
Cache configuration:
- Location: ~/.cache/beads/wasm/ (platform-specific via os.UserCacheDir)
- Automatic version management: wazero keys entries by its version
- Fallback: in-memory cache if directory creation fails
- No cleanup needed: old versions are harmless (~5-10MB each)
Performance impact:
- First run: ~220ms (populate cache)
- Subsequent runs: ~20ms (load from cache)
- Savings: ~200ms per cold start
Cache invalidation:
- Automatic when wazero version changes (upgrades use new cache dir)
- Manual cleanup: rm -rf ~/.cache/beads/wasm/ (safe to delete anytime)
This complements daemon mode:
- Daemon mode: eliminates startup cost by keeping process alive
- WASM cache: reduces startup cost for one-off commands or daemon restarts
Changes:
- internal/storage/sqlite/sqlite.go: Add init() with cache setup
* refactor: improve maintainability of performance testing code
Extract common patterns and eliminate duplication across benchmarks, fixture generation, and performance diagnostics. Replace magic numbers with explicit configuration to improve readability and make it easier to tune test parameters.
* docs: clarify profiling behavior and add missing documentation
Add explanatory comments for profiling setup to clarify why --profile
forces direct mode (captures actual database operations instead of RPC
overhead) and document the stopCPUProfile function's role in flushing
profile data to disk. Also fix gosec G104 linter warning by explicitly
ignoring Close() error during cleanup.
* fix: prevent bench-quick from running indefinitely
Added //go:build bench tags and skipped timeout-prone benchmarks to
prevent make bench-quick from running for hours.
Changes:
- Add //go:build bench tag to cycle_bench_test.go and compact_bench_test.go
- Skip Dense graph benchmarks (documented to timeout >120s)
- Fix compact benchmark prefix: bd- → bd (validation expects prefix without trailing dash)
Before: make bench-quick ran for 3.5+ hours (12,699s) before manual interrupt
After: make bench-quick completes in ~25 seconds
The Dense graph benchmarks are known to timeout and represent rare edge
cases that don't need optimization for typical workflows.
