Files
beads/AGENTS.md
Steve Yegge f20aec672d Add warning that MCP Agent Mail is not configured
Added prominent warning at the top of the Agent Mail section in AGENTS.md
to prevent AI agents from attempting to use mcp-agent-mail tools when the
server is not set up.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-20 20:55:42 -05:00

963 lines
30 KiB
Markdown

# Instructions for AI Agents Working on Beads
## Project Overview
This is **beads** (command: `bd`), an issue tracker designed for AI-supervised coding workflows. We dogfood our own tool!
## 🆕 What's New?
**New to bd or upgrading?** Run `bd info --whats-new` to see agent-relevant changes from recent versions:
```bash
bd info --whats-new # Human-readable output
bd info --whats-new --json # Machine-readable output
```
This shows the last 3 versions with workflow-impacting changes, avoiding the need to re-read all documentation. Examples:
- New commands and flags that improve agent workflows
- Breaking changes that require workflow updates
- Performance improvements and bug fixes
- Integration features (MCP, Agent Mail, git hooks)
**Why this matters:** bd releases weekly with major versions. This command helps you quickly understand what changed without parsing the full CHANGELOG.
## Human Setup vs Agent Usage
**IMPORTANT:** If you need to initialize bd, use the `--quiet` flag:
```bash
bd init --quiet # Non-interactive, auto-installs git hooks, no prompts
```
**Why `--quiet`?** Regular `bd init` has interactive prompts (git hooks, merge driver) that confuse agents. The `--quiet` flag makes it fully non-interactive:
- Automatically installs git hooks
- Automatically configures git merge driver for intelligent JSONL merging
- No prompts for user input
- Safe for agent-driven repo setup
**If the human already initialized:** Just use bd normally with `bd create`, `bd ready`, `bd update`, `bd close`, etc.
**If you see "database not found":** Run `bd init --quiet` yourself, or ask the human to run `bd init`.
## Issue Tracking
We use bd (beads) for issue tracking instead of Markdown TODOs or external tools.
### MCP Server (Recommended)
**RECOMMENDED**: Use the MCP (Model Context Protocol) server for the best experience! The beads MCP server provides native integration with Claude and other MCP-compatible AI assistants.
**Installation:**
```bash
# Install the MCP server
pip install beads-mcp
# Add to your MCP settings (e.g., Claude Desktop config)
{
"beads": {
"command": "beads-mcp",
"args": []
}
}
```
**Benefits:**
- Native function calls instead of shell commands
- Automatic workspace detection
- Better error handling and validation
- Structured JSON responses
- No need for `--json` flags
**All bd commands are available as MCP functions** with the prefix `mcp__beads-*__`. For example:
- `bd ready``mcp__beads__ready()`
- `bd create``mcp__beads__create(title="...", priority=1)`
- `bd update``mcp__beads__update(issue_id="bd-42", status="in_progress")`
See `integrations/beads-mcp/README.md` for complete documentation.
### Multi-Repo Configuration (MCP Server)
**RECOMMENDED: Use a single MCP server for all beads projects** - it automatically routes to per-project local daemons.
**For AI agent multi-repo patterns**, see [docs/MULTI_REPO_AGENTS.md](docs/MULTI_REPO_AGENTS.md) (config options, routing, troubleshooting, best practices).
**For complete multi-repo workflow guide**, see [docs/MULTI_REPO_MIGRATION.md](docs/MULTI_REPO_MIGRATION.md) (OSS contributors, teams, multi-phase development).
**Setup (one-time):**
```bash
# MCP config in ~/.config/amp/settings.json or Claude Desktop config:
{
"beads": {
"command": "beads-mcp",
"args": []
}
}
```
**How it works (LSP model):**
The single MCP server instance automatically:
1. Checks for local daemon socket (`.beads/bd.sock`) in your current workspace
2. Routes requests to the correct **per-project daemon** based on working directory
3. Auto-starts the local daemon if not running (with exponential backoff)
4. **Each project gets its own isolated daemon** serving only its database
**Architecture:**
```
MCP Server (one instance)
Per-Project Daemons (one per workspace)
SQLite Databases (complete isolation)
```
**Why per-project daemons?**
- ✅ Complete database isolation between projects
- ✅ No cross-project pollution or git worktree conflicts
- ✅ Simpler mental model: one project = one database = one daemon
- ✅ Follows LSP (Language Server Protocol) architecture
**Note:** The daemon **auto-starts automatically** when you run any `bd` command (v0.9.11+). To disable auto-start, set `BEADS_AUTO_START_DAEMON=false`.
**Version Management:** bd automatically handles daemon version mismatches (v0.16.0+):
- When you upgrade bd, old daemons are automatically detected and restarted
- Version compatibility is checked on every connection
- No manual intervention required after upgrades
- Works transparently with MCP server and CLI
- Use `bd daemons health` to check for version mismatches
- Use `bd daemons killall` to force-restart all daemons if needed
**Alternative (not recommended): Multiple MCP Server Instances**
If you must use separate MCP servers:
```json
{
"beads-webapp": {
"command": "beads-mcp",
"env": {
"BEADS_WORKING_DIR": "/Users/you/projects/webapp"
}
},
"beads-api": {
"command": "beads-mcp",
"env": {
"BEADS_WORKING_DIR": "/Users/you/projects/api"
}
}
}
```
⚠️ **Problem**: AI may select the wrong MCP server for your workspace, causing commands to operate on the wrong database.
### CLI Quick Reference
**Essential commands for AI agents:**
```bash
# Find work
bd ready --json # Unblocked issues
bd stale --days 30 --json # Forgotten issues
# Create and manage issues
bd create "Issue title" -t bug|feature|task -p 0-4 --json
bd create "Found bug" -p 1 --deps discovered-from:<parent-id> --json
bd update <id> --status in_progress --json
bd close <id> --reason "Done" --json
# Search and filter
bd list --status open --priority 1 --json
bd list --label-any urgent,critical --json
bd show <id> --json
# Sync (CRITICAL at end of session!)
bd sync # Force immediate export/commit/push
```
**For comprehensive CLI documentation**, see [docs/CLI_REFERENCE.md](docs/CLI_REFERENCE.md).
### Managing Daemons
bd runs a background daemon per workspace for auto-sync and RPC operations:
```bash
bd daemons list --json # List all running daemons
bd daemons health --json # Check for version mismatches
bd daemons logs . -n 100 # View daemon logs
bd daemons killall --json # Restart all daemons
```
**After upgrading bd**: Run `bd daemons killall` to restart all daemons with new version.
**For complete daemon management**, see [docs/DAEMON.md](docs/DAEMON.md).
### Web Interface (Monitor)
bd includes a built-in web interface for human visualization:
```bash
bd monitor # Start on localhost:8080
bd monitor --port 3000 # Custom port
```
**AI agents**: Continue using CLI with `--json` flags. The monitor is for human supervision only.
### Workflow
1. **Check for ready work**: Run `bd ready` to see what's unblocked (or `bd stale` to find forgotten issues)
2. **Claim your task**: `bd update <id> --status in_progress`
3. **Work on it**: Implement, test, document
4. **Discover new work**: If you find bugs or TODOs, create issues:
- Old way (two commands): `bd create "Found bug in auth" -t bug -p 1 --json` then `bd dep add <new-id> <current-id> --type discovered-from`
- New way (one command): `bd create "Found bug in auth" -t bug -p 1 --deps discovered-from:<current-id> --json`
5. **Complete**: `bd close <id> --reason "Implemented"`
6. **Sync at end of session**: `bd sync` (see "Agent Session Workflow" below)
### Optional: Agent Mail for Multi-Agent Coordination
**⚠️ NOT CURRENTLY CONFIGURED** - The mcp-agent-mail server is not set up for this project. Do not attempt to use mcp-agent-mail tools.
**For multi-agent workflows only** - if multiple AI agents work on the same repository simultaneously, consider using Agent Mail for real-time coordination:
**With Agent Mail enabled:**
```bash
# Configure environment (one-time per session)
export BEADS_AGENT_MAIL_URL=http://127.0.0.1:8765
export BEADS_AGENT_NAME=assistant-alpha
export BEADS_PROJECT_ID=my-project
# Workflow (identical commands)
bd ready # Shows available work
bd update bd-42 --status in_progress # Reserves issue instantly (<100ms)
# ... work on issue ...
bd close bd-42 "Done" # Releases reservation automatically
```
**Without Agent Mail (git-only mode):**
```bash
# No environment variables needed
bd ready # Shows available work
bd update bd-42 --status in_progress # Updates via git sync (2-5s latency)
# ... work on issue ...
bd close bd-42 "Done" # Updates via git sync
```
**Key differences:**
- **Latency**: <100ms (Agent Mail) vs 2-5s (git-only)
- **Collision prevention**: Instant reservation (Agent Mail) vs eventual consistency (git)
- **Setup**: Requires server + env vars (Agent Mail) vs zero config (git-only)
**When to use Agent Mail:**
- ✅ Multiple agents working concurrently
- ✅ Frequent status updates (high collision risk)
- ✅ Real-time coordination needed
**When to skip:**
- ✅ Single agent workflows
- ✅ Infrequent updates (low collision risk)
- ✅ Simplicity preferred over latency
See [docs/AGENT_MAIL_QUICKSTART.md](docs/AGENT_MAIL_QUICKSTART.md) for 5-minute setup, or [docs/AGENT_MAIL.md](docs/AGENT_MAIL.md) for complete documentation. Example code in [examples/python-agent/AGENT_MAIL_EXAMPLE.md](examples/python-agent/AGENT_MAIL_EXAMPLE.md).
### Issue Types
- `bug` - Something broken that needs fixing
- `feature` - New functionality
- `task` - Work item (tests, docs, refactoring)
- `epic` - Large feature composed of multiple issues (supports hierarchical children)
- `chore` - Maintenance work (dependencies, tooling)
**Hierarchical children:** Epics can have child issues with dotted IDs (e.g., `bd-a3f8e9.1`, `bd-a3f8e9.2`). Children are auto-numbered sequentially. Up to 3 levels of nesting supported. The parent hash ensures unique namespace - no coordination needed between agents working on different epics.
### Priorities
- `0` - Critical (security, data loss, broken builds)
- `1` - High (major features, important bugs)
- `2` - Medium (nice-to-have features, minor bugs)
- `3` - Low (polish, optimization)
- `4` - Backlog (future ideas)
### Dependency Types
- `blocks` - Hard dependency (issue X blocks issue Y)
- `related` - Soft relationship (issues are connected)
- `parent-child` - Epic/subtask relationship
- `discovered-from` - Track issues discovered during work (automatically inherits parent's `source_repo`)
Only `blocks` dependencies affect the ready work queue.
**Note:** When creating an issue with a `discovered-from` dependency, the new issue automatically inherits the parent's `source_repo` field. This ensures discovered work stays in the same repository as the parent task.
### Duplicate Detection & Merging
AI agents should proactively detect and merge duplicate issues to keep the database clean:
**Automated duplicate detection:**
```bash
# Find all content duplicates in the database
bd duplicates
# Automatically merge all duplicates
bd duplicates --auto-merge
# Preview what would be merged
bd duplicates --dry-run
# During import
bd import -i issues.jsonl --dedupe-after
```
**Detection strategies:**
1. **Before creating new issues**: Search for similar existing issues
```bash
bd list --json | grep -i "authentication"
bd show bd-41 bd-42 --json # Compare candidates
```
2. **Periodic duplicate scans**: Review issues by type or priority
```bash
bd list --status open --priority 1 --json # High-priority issues
bd list --issue-type bug --json # All bugs
```
3. **During work discovery**: Check for duplicates when filing discovered-from issues
```bash
# Before: bd create "Fix auth bug" --deps discovered-from:bd-100
# First: bd list --json | grep -i "auth bug"
# Then decide: create new or link to existing
```
**Merge workflow:**
```bash
# Step 1: Identify duplicates (bd-42 and bd-43 duplicate bd-41)
bd show bd-41 bd-42 bd-43 --json
# Step 2: Preview merge to verify
bd merge bd-42 bd-43 --into bd-41 --dry-run
# Step 3: Execute merge
bd merge bd-42 bd-43 --into bd-41 --json
# Step 4: Verify result
bd dep tree bd-41 # Check unified dependency tree
bd show bd-41 --json # Verify merged content
```
**What gets merged:**
- ✅ All dependencies from source → target
- ✅ Text references updated across ALL issues (descriptions, notes, design, acceptance criteria)
- ✅ Source issues closed with "Merged into bd-X" reason
- ❌ Source issue content NOT copied (target keeps its original content)
**Important notes:**
- Merge preserves target issue completely; only dependencies/references migrate
- If source issues have valuable content, manually copy it to target BEFORE merging
- Cannot merge in daemon mode yet (bd-190); use `--no-daemon` flag
- Operation cannot be undone (but git history preserves the original)
**Best practices:**
- Merge early to prevent dependency fragmentation
- Choose the oldest or most complete issue as merge target
- Add labels like `duplicate` to source issues before merging (for tracking)
- File a discovered-from issue if you found duplicates during work:
```bash
bd create "Found duplicates during bd-X" -p 2 --deps discovered-from:bd-X --json
```
## Development Guidelines
### Code Standards
- **Go version**: 1.21+
- **Linting**: `golangci-lint run ./...` (baseline warnings documented in [docs/LINTING.md](docs/LINTING.md))
- **Testing**: All new features need tests (`go test -short ./...` for local, full tests run in CI)
- **Documentation**: Update relevant .md files
### File Organization
```
beads/
├── cmd/bd/ # CLI commands
├── internal/
│ ├── types/ # Core data types
│ └── storage/ # Storage layer
│ └── sqlite/ # SQLite implementation
├── examples/ # Integration examples
└── *.md # Documentation
```
### Testing Workflow
**IMPORTANT:** Never pollute the production database with test issues!
**For manual testing**, use the `BEADS_DB` environment variable to point to a temporary database:
```bash
# Create test issues in isolated database
BEADS_DB=/tmp/test.db ./bd init --quiet --prefix test
BEADS_DB=/tmp/test.db ./bd create "Test issue" -p 1
# Or for quick testing
BEADS_DB=/tmp/test.db ./bd create "Test feature" -p 1
```
**For automated tests**, use `t.TempDir()` in Go tests:
```go
func TestMyFeature(t *testing.T) {
tmpDir := t.TempDir()
testDB := filepath.Join(tmpDir, ".beads", "beads.db")
s := newTestStore(t, testDB)
// ... test code
}
```
**Warning:** bd will warn you when creating issues with "Test" prefix in the production database. Always use `BEADS_DB` for manual testing.
### Before Committing
1. **Run tests**: `go test -short ./...` (full tests run in CI)
2. **Run linter**: `golangci-lint run ./...` (ignore baseline warnings)
3. **Update docs**: If you changed behavior, update README.md or other docs
4. **Commit**: Issues auto-sync to `.beads/issues.jsonl` and import after pull
### Git Workflow
**Auto-sync provides batching!** bd automatically:
- **Exports** to JSONL after CRUD operations (30-second debounce for batching)
- **Imports** from JSONL when it's newer than DB (e.g., after `git pull`)
- **Daemon commits/pushes** every 5 seconds (if `--auto-commit` / `--auto-push` enabled)
The 30-second debounce provides a **transaction window** for batch operations - multiple issue changes within 30 seconds get flushed together, avoiding commit spam.
### Git Integration
**Auto-sync**: bd automatically exports to JSONL (30s debounce), imports after `git pull`, and optionally commits/pushes.
**Protected branches**: Use `bd init --branch beads-metadata` to commit to separate branch. See [docs/PROTECTED_BRANCHES.md](docs/PROTECTED_BRANCHES.md).
**Git worktrees**: Daemon mode NOT supported. Use `bd --no-daemon` for all commands. See [docs/GIT_INTEGRATION.md](docs/GIT_INTEGRATION.md).
**Merge conflicts**: Rare with hash IDs. If conflicts occur, use `git checkout --theirs/.beads/beads.jsonl` and `bd import`. See [docs/GIT_INTEGRATION.md](docs/GIT_INTEGRATION.md).
### Landing the Plane
**When the user says "let's land the plane"**, follow this clean session-ending protocol:
1. **File beads issues for any remaining work** that needs follow-up
2. **Ensure all quality gates pass** (only if code changes were made) - run tests, linters, builds (file P0 issues if broken)
3. **Update beads issues** - close finished work, update status
4. **Sync and PUSH everything to remote** - Work methodically to ensure both local and remote are synchronized:
```bash
# Pull first to catch any remote changes
git pull --rebase
# If conflicts in .beads/beads.jsonl, resolve thoughtfully:
# - git checkout --theirs .beads/beads.jsonl (accept remote)
# - bd import -i .beads/beads.jsonl (re-import)
# - Or manual merge, then import
# Sync the database (exports to JSONL, commits)
bd sync
# CRITICAL: Push everything to remote
git push
# Verify push succeeded
git status # Should show "up to date with origin/main"
```
**CRITICAL**: The plane has NOT landed until `git push` completes successfully. If you don't push, the work is still on the runway!
5. **Clean up git state** - Clear old stashes and prune dead remote branches:
```bash
git stash clear # Remove old stashes
git remote prune origin # Clean up deleted remote branches
```
6. **Verify clean state** - Ensure all changes are committed AND PUSHED, no untracked files remain
7. **Choose a follow-up issue for next session**
- Provide a prompt for the user to give to you in the next session
- Format: "Continue work on bd-X: [issue title]. [Brief context about what's been done and what's next]"
**Example "land the plane" session:**
```bash
# 1. File remaining work
bd create "Add integration tests for sync" -t task -p 2 --json
# 2. Run quality gates (only if code changes were made)
go test -short ./...
golangci-lint run ./...
# 3. Close finished issues
bd close bd-42 bd-43 --reason "Completed" --json
# 4. Sync and PUSH everything
git pull --rebase
# If conflicts in .beads/beads.jsonl, resolve thoughtfully:
# - git checkout --theirs .beads/beads.jsonl (accept remote)
# - bd import -i .beads/beads.jsonl (re-import)
# - Or manual merge, then import
bd sync # Export/import/commit
git push # CRITICAL - Must push!
git status # Verify "up to date with origin/main"
# 5. Clean up git state
git stash clear
git remote prune origin
# 6. Verify everything is clean and pushed
git status
# 7. Choose next work
bd ready --json
bd show bd-44 --json
```
**Then provide the user with:**
- Summary of what was completed this session
- What issues were filed for follow-up
- Status of quality gates (all passing / issues filed)
- Recommended prompt for next session
### Agent Session Workflow
**IMPORTANT for AI agents:** When you finish making issue changes, always run:
```bash
bd sync
```
This immediately:
1. Exports pending changes to JSONL (no 30s wait)
2. Commits to git
3. Pulls from remote
4. Imports any updates
5. Pushes to remote
**Example agent session:**
```bash
# Make multiple changes (batched in 30-second window)
bd create "Fix bug" -p 1
bd create "Add tests" -p 1
bd update bd-42 --status in_progress
bd close bd-40 --reason "Completed"
# Force immediate sync at end of session
bd sync
# Now safe to end session - everything is committed and pushed
```
**Why this matters:**
- Without `bd sync`, changes sit in 30-second debounce window
- User might think you pushed but JSONL is still dirty
- `bd sync` forces immediate flush/commit/push
**STRONGLY RECOMMENDED: Install git hooks for automatic sync** (prevents stale JSONL problems):
```bash
# One-time setup - run this in each beads workspace
bd hooks install
```
This installs:
- **pre-commit** - Flushes pending changes immediately before commit (bypasses 30s debounce)
- **post-merge** - Imports updated JSONL after pull/merge (guaranteed sync)
- **pre-push** - Exports database to JSONL before push (prevents stale JSONL from reaching remote)
- **post-checkout** - Imports JSONL after branch checkout (ensures consistency)
**Why git hooks matter:**
Without the pre-push hook, you can have database changes committed locally but stale JSONL pushed to remote, causing multi-workspace divergence. The hooks guarantee DB ↔ JSONL consistency.
**Note:** Hooks are embedded in the bd binary and work for all bd users (not just source repo users).
## Current Project Status
Run `bd stats` to see overall progress.
### Active Areas
- **Core CLI**: Mature, but always room for polish
- **Examples**: Growing collection of agent integrations
- **Documentation**: Comprehensive but can always improve
- **MCP Server**: Implemented at `integrations/beads-mcp/` with Claude Code plugin
- **Migration Tools**: Planned (see bd-6)
### 1.0 Milestone
We're working toward 1.0. Key blockers tracked in bd. Run:
```bash
bd dep tree bd-8 # Show 1.0 epic dependencies
```
## Common Tasks
### Adding a New Command
1. Create file in `cmd/bd/`
2. Add to root command in `cmd/bd/main.go`
3. Implement with Cobra framework
4. Add `--json` flag for agent use
5. Add tests in `cmd/bd/*_test.go`
6. Document in README.md
### Adding Storage Features
1. Update schema in `internal/storage/sqlite/schema.go`
2. Add migration if needed
3. Update `internal/types/types.go` if new types
4. Implement in `internal/storage/sqlite/sqlite.go`
5. Add tests
6. Update export/import in `cmd/bd/export.go` and `cmd/bd/import.go`
### Adding Examples
1. Create directory in `examples/`
2. Add README.md explaining the example
3. Include working code
4. Link from `examples/README.md`
5. Mention in main README.md
## Questions?
- Check existing issues: `bd list`
- Look at recent commits: `git log --oneline -20`
- Read the docs: README.md, ADVANCED.md, EXTENDING.md
- Create an issue if unsure: `bd create "Question: ..." -t task -p 2`
## Important Files
- **README.md** - Main documentation (keep this updated!)
- **EXTENDING.md** - Database extension guide
- **ADVANCED.md** - JSONL format analysis
- **CONTRIBUTING.md** - Contribution guidelines
- **SECURITY.md** - Security policy
## Pro Tips for Agents
- Always use `--json` flags for programmatic use
- **Always run `bd sync` at end of session** to flush/commit/push immediately
- Link discoveries with `discovered-from` to maintain context
- Check `bd ready` before asking "what next?"
- Auto-sync batches changes in 30-second window - use `bd sync` to force immediate flush
- Use `--no-auto-flush` or `--no-auto-import` to disable automatic sync if needed
- Use `bd dep tree` to understand complex dependencies
- Priority 0-1 issues are usually more important than 2-4
- Use `--dry-run` to preview import changes before applying
- Hash IDs eliminate collisions - same ID with different content is a normal update
- Use `--id` flag with `bd create` to partition ID space for parallel workers (e.g., `worker1-100`, `worker2-500`)
### Checking GitHub Issues and PRs
**IMPORTANT**: When asked to check GitHub issues or PRs, use command-line tools like `gh` instead of browser/playwright tools.
**Preferred approach:**
```bash
# List open issues with details
gh issue list --limit 30
# List open PRs
gh pr list --limit 30
# View specific issue
gh issue view 201
```
**Then provide an in-conversation summary** highlighting:
- Urgent/critical issues (regressions, bugs, broken builds)
- Common themes or patterns
- Feature requests with high engagement
- Items that need immediate attention
**Why this matters:**
- Browser tools consume more tokens and are slower
- CLI summaries are easier to scan and discuss
- Keeps the conversation focused and efficient
- Better for quick triage and prioritization
**Do NOT use:** `browser_navigate`, `browser_snapshot`, or other playwright tools for GitHub PR/issue reviews unless specifically requested by the user.
## Building and Testing
```bash
# Build
go build -o bd ./cmd/bd
# Test (short - for local development)
go test -short ./...
# Test with coverage (full tests - for CI)
go test -coverprofile=coverage.out ./...
go tool cover -html=coverage.out
# Run locally
./bd init --prefix test
./bd create "Test issue" -p 1
./bd ready
```
## Version Management
**IMPORTANT**: When the user asks to "bump the version" or mentions a new version number (e.g., "bump to 0.9.3"), use the version bump script:
```bash
# Preview changes (shows diff, doesn't commit)
./scripts/bump-version.sh 0.9.3
# Auto-commit the version bump
./scripts/bump-version.sh 0.9.3 --commit
git push origin main
```
**What it does:**
- Updates ALL version files (CLI, plugin, MCP server, docs) in one command
- Validates semantic versioning format
- Shows diff preview
- Verifies all versions match after update
- Creates standardized commit message
**User will typically say:**
- "Bump to 0.9.3"
- "Update version to 1.0.0"
- "Rev the project to 0.9.4"
- "Increment the version"
**You should:**
1. Run `./scripts/bump-version.sh <version> --commit`
2. Push to GitHub
3. Confirm all versions updated correctly
**Files updated automatically:**
- `cmd/bd/version.go` - CLI version
- `.claude-plugin/plugin.json` - Plugin version
- `.claude-plugin/marketplace.json` - Marketplace version
- `integrations/beads-mcp/pyproject.toml` - MCP server version
- `README.md` - Documentation version
- `PLUGIN.md` - Version requirements
**Why this matters:** We had version mismatches (bd-66) when only `version.go` was updated. This script prevents that by updating all components atomically.
See `scripts/README.md` for more details.
## Release Process (Maintainers)
**Automated (Recommended):**
```bash
# One command to do everything (version bump, tests, tag, Homebrew update, local install)
./scripts/release.sh 0.9.3
```
This handles the entire release workflow automatically, including waiting ~5 minutes for GitHub Actions to build release artifacts. See [scripts/README.md](scripts/README.md) for details.
**Manual (Step-by-Step):**
1. Bump version: `./scripts/bump-version.sh <version> --commit`
2. Update CHANGELOG.md with release notes
3. Run tests: `go test -short ./...` (CI runs full suite)
4. Push version bump: `git push origin main`
5. Tag release: `git tag v<version> && git push origin v<version>`
6. Update Homebrew: `./scripts/update-homebrew.sh <version>` (waits for GitHub Actions)
7. Verify: `brew update && brew upgrade bd && bd version`
See [docs/RELEASING.md](docs/RELEASING.md) for complete manual instructions.
---
**Remember**: We're building this tool to help AI agents like you! If you find the workflow confusing or have ideas for improvement, create an issue with your feedback.
Happy coding! 🔗
<!-- bd onboard section -->
## Issue Tracking with bd (beads)
**IMPORTANT**: This project uses **bd (beads)** for ALL issue tracking. Do NOT use markdown TODOs, task lists, or other tracking methods.
### Why bd?
- Dependency-aware: Track blockers and relationships between issues
- Git-friendly: Auto-syncs to JSONL for version control
- Agent-optimized: JSON output, ready work detection, discovered-from links
- Prevents duplicate tracking systems and confusion
### Quick Start
**FIRST TIME?** Just run `bd init` - it auto-imports issues from git:
```bash
bd init --prefix bd
```
**OSS Contributor?** Use the contributor wizard for fork workflows:
```bash
bd init --contributor # Interactive setup for separate planning repo
```
**Team Member?** Use the team wizard for branch workflows:
```bash
bd init --team # Interactive setup for team collaboration
```
**Check for ready work:**
```bash
bd ready --json
```
**Create new issues:**
```bash
bd create "Issue title" -t bug|feature|task -p 0-4 --json
bd create "Issue title" -p 1 --deps discovered-from:bd-123 --json
```
**Claim and update:**
```bash
bd update bd-42 --status in_progress --json
bd update bd-42 --priority 1 --json
```
**Complete work:**
```bash
bd close bd-42 --reason "Completed" --json
```
### Issue Types
- `bug` - Something broken
- `feature` - New functionality
- `task` - Work item (tests, docs, refactoring)
- `epic` - Large feature with subtasks
- `chore` - Maintenance (dependencies, tooling)
### Priorities
- `0` - Critical (security, data loss, broken builds)
- `1` - High (major features, important bugs)
- `2` - Medium (default, nice-to-have)
- `3` - Low (polish, optimization)
- `4` - Backlog (future ideas)
### Workflow for AI Agents
1. **Check ready work**: `bd ready` shows unblocked issues
2. **Claim your task**: `bd update <id> --status in_progress`
3. **Work on it**: Implement, test, document
4. **Discover new work?** Create linked issue:
- `bd create "Found bug" -p 1 --deps discovered-from:<parent-id>`
5. **Complete**: `bd close <id> --reason "Done"`
### Auto-Sync
bd automatically syncs with git:
- Exports to `.beads/issues.jsonl` after changes (5s debounce)
- Imports from JSONL when newer (e.g., after `git pull`)
- No manual export/import needed!
### MCP Server (Recommended)
If using Claude or MCP-compatible clients, install the beads MCP server:
```bash
pip install beads-mcp
```
Add to MCP config (e.g., `~/.config/claude/config.json`):
```json
{
"beads": {
"command": "beads-mcp",
"args": []
}
}
```
Then use `mcp__beads__*` functions instead of CLI commands.
### Managing AI-Generated Planning Documents
AI assistants often create planning and design documents during development:
- PLAN.md, IMPLEMENTATION.md, ARCHITECTURE.md
- DESIGN.md, CODEBASE_SUMMARY.md, INTEGRATION_PLAN.md
- TESTING_GUIDE.md, TECHNICAL_DESIGN.md, and similar files
**Best Practice: Use a dedicated directory for these ephemeral files**
**Recommended approach:**
- Create a `history/` directory in the project root
- Store ALL AI-generated planning/design docs in `history/`
- Keep the repository root clean and focused on permanent project files
- Only access `history/` when explicitly asked to review past planning
**Example .gitignore entry (optional):**
```
# AI planning documents (ephemeral)
history/
```
**Benefits:**
- ✅ Clean repository root
- ✅ Clear separation between ephemeral and permanent documentation
- ✅ Easy to exclude from version control if desired
- ✅ Preserves planning history for archaeological research
- ✅ Reduces noise when browsing the project
### Important Rules
- ✅ Use bd for ALL task tracking
- ✅ Always use `--json` flag for programmatic use
- ✅ Link discovered work with `discovered-from` dependencies
- ✅ Check `bd ready` before asking "what should I work on?"
- ✅ Store AI planning docs in `history/` directory
- ❌ Do NOT create markdown TODO lists
- ❌ Do NOT use external issue trackers
- ❌ Do NOT duplicate tracking systems
- ❌ Do NOT clutter repo root with planning documents
For more details, see README.md and QUICKSTART.md.
<!-- /bd onboard section -->