# Instructions for AI Agents Working on Beads > **📖 For detailed development instructions**, see [AGENT_INSTRUCTIONS.md](AGENT_INSTRUCTIONS.md) > > This file provides a quick overview and reference. For in-depth operational details (development, testing, releases, git workflow), consult the detailed instructions. ## Project Overview This is **beads** (command: `bd`), an issue tracker designed for AI-supervised coding workflows. We dogfood our own tool! > **🤖 Using GitHub Copilot?** See [.github/copilot-instructions.md](.github/copilot-instructions.md) for a concise, Copilot-optimized version of these instructions that GitHub Copilot will automatically load. ## 🆕 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. ### 🔄 After Upgrading bd When bd is upgraded to a new version, follow this workflow: ```bash # 1. Check what changed bd info --whats-new # 2. Update git hooks to match new bd version bd hooks install # 3. Regenerate BD_GUIDE.md if it exists (optional but recommended) bd onboard --output .beads/BD_GUIDE.md # 4. Check for any outdated hooks (optional) bd info # Shows warnings if hooks are outdated ``` **Why update hooks?** Git hooks (pre-commit, post-merge, pre-push) are versioned with bd. Outdated hooks may miss new auto-sync features or bug fixes. Running `bd hooks install` ensures hooks match your bd version. **About BD_GUIDE.md:** This is an optional auto-generated file that separates bd-specific instructions from project-specific ones. If your project uses this file (in `.beads/BD_GUIDE.md`), regenerate it after upgrades to get the latest bd documentation. The file is version-stamped and should never be manually edited. **Related:** See GitHub Discussion #239 for background on agent upgrade workflows. ## 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. ### CLI + Hooks (Recommended) **RECOMMENDED**: Use the `bd` CLI with hooks for the best experience. This approach: - **Minimizes context usage** - Only injects ~1-2k tokens via `bd prime` vs MCP tool schemas - **Reduces compute cost** - Less tokens = less processing per request - **Lower latency** - Direct CLI calls are faster than MCP protocol overhead - **More sustainable** - Every token has compute/energy cost; lean prompts are greener - **Universal** - Works with any AI assistant, not just MCP-compatible ones **Setup (one-time):** ```bash # Install bd CLI (see docs/INSTALLING.md) brew install bd # or other methods # Initialize in your project bd init --quiet # Install hooks for automatic context injection bd hooks install ``` **How it works:** 1. **SessionStart hook** runs `bd prime` automatically when Claude Code starts 2. `bd prime` injects a compact workflow reference (~1-2k tokens) 3. You use `bd` CLI commands directly (no MCP layer needed) 4. Git hooks auto-sync the database with JSONL **Why context minimization matters:** Even with 200k+ context windows, minimizing context is important: - **Compute cost scales with tokens** - More context = more expensive inference - **Latency increases with context** - Larger prompts take longer to process - **Energy consumption** - Every token has environmental impact - **Attention quality** - Models attend better to smaller, focused contexts A 50k token MCP schema consumes the same compute whether you use those tools or not. The CLI approach keeps your context lean and focused. ### 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" --description="Detailed context about the issue" -t bug|feature|task -p 0-4 --json bd create "Found bug" --description="What the bug is and how it was discovered" -p 1 --deps discovered-from: --json bd update --status in_progress --json bd close --reason "Done" --json # Search and filter bd list --status open --priority 1 --json bd list --label-any urgent,critical --json bd show --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). ### MCP Server (Alternative) For Claude Desktop, Sourcegraph Amp, or other MCP-only environments where CLI access is limited, use the MCP server: ```bash pip install beads-mcp ``` Add to MCP config: ```json { "beads": { "command": "beads-mcp", "args": [] } } ``` **When to use MCP:** - ✅ Claude Desktop (no shell access) - ✅ MCP-only environments - ✅ Environments where CLI is unavailable **When to prefer CLI + hooks:** - ✅ Claude Code, Cursor, Windsurf, or any environment with shell access - ✅ When context efficiency matters (most cases) - ✅ Multi-editor workflows (CLI is universal) See `integrations/beads-mcp/README.md` for MCP documentation. For multi-repo MCP patterns, see [docs/MULTI_REPO_AGENTS.md](docs/MULTI_REPO_AGENTS.md). ### Import Configuration bd provides configuration for handling edge cases during import, especially when dealing with hierarchical issues and deleted parents: ```bash # Configure orphan handling for imports bd config set import.orphan_handling "allow" # Default: import orphans without validation bd config set import.orphan_handling "resurrect" # Auto-resurrect deleted parents as tombstones bd config set import.orphan_handling "skip" # Skip orphaned children with warning bd config set import.orphan_handling "strict" # Fail if parent is missing ``` **Modes explained:** - **`allow` (default)** - Import orphaned children without parent validation. Most permissive, ensures no data loss even if hierarchy is temporarily broken. - **`resurrect`** - Search JSONL history for deleted parents and recreate them as tombstones (Status=Closed, Priority=4). Preserves hierarchy with minimal data. - **`skip`** - Skip orphaned children with a warning. Partial import succeeds but some issues are excluded. - **`strict`** - Fail import immediately if a child's parent is missing. Use when database integrity is critical. **When to use each mode:** - Use `allow` (default) for daily imports and auto-sync - ensures no data loss - Use `resurrect` when importing from another database that had parent deletions - Use `strict` only for controlled imports where you need to guarantee parent existence - Use `skip` rarely - only when you want to selectively import a subset **Override per command:** ```bash bd import -i issues.jsonl --orphan-handling resurrect # One-time override bd sync # Uses import.orphan_handling config setting ``` See [docs/CONFIG.md](docs/CONFIG.md) for complete configuration documentation. ### 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. ### Event-Driven Daemon Mode (Experimental) **NEW in v0.16+**: Event-driven mode replaces 5-second polling with instant reactivity (<500ms latency, 60% less CPU). **Enable globally:** ```bash export BEADS_DAEMON_MODE=events bd daemons killall # Restart daemons to apply ``` **For configuration, troubleshooting, and 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 --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" --description="Details about the bug" -t bug -p 1 --json` then `bd dep add --type discovered-from` - New way (one command): `bd create "Found bug in auth" --description="Login fails with 500 when password has special chars" -t bug -p 1 --deps discovered-from: --json` 5. **Complete**: `bd close --reason "Implemented"` 6. **Sync at end of session**: `bd sync` (see "Agent Session Workflow" below) ### IMPORTANT: Always Include Issue Descriptions **Issues without descriptions lack context for future work.** When creating issues, always include a meaningful description with: - **Why** the issue exists (problem statement or need) - **What** needs to be done (scope and approach) - **How** you discovered it (if applicable during work) **Good examples:** ```bash # Bug discovered during work bd create "Fix auth bug in login handler" \ --description="Login fails with 500 error when password contains special characters like quotes. Found while testing GH#123 feature. Stack trace shows unescaped SQL in auth/login.go:45." \ -t bug -p 1 --deps discovered-from:bd-abc --json # Feature request bd create "Add password reset flow" \ --description="Users need ability to reset forgotten passwords via email. Should follow OAuth best practices and include rate limiting to prevent abuse." \ -t feature -p 2 --json # Technical debt bd create "Refactor auth package for testability" \ --description="Current auth code has tight DB coupling making unit tests difficult. Need to extract interfaces and add dependency injection. Blocks writing tests for bd-xyz." \ -t task -p 3 --json ``` **Bad examples (missing context):** ```bash bd create "Fix auth bug" -t bug -p 1 --json # What bug? Where? Why? bd create "Add feature" -t feature --json # What feature? Why needed? bd create "Refactor code" -t task --json # What code? Why refactor? ``` ### 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). ### Inter-Agent Messaging (bd mail) Beads includes a built-in messaging system for direct agent-to-agent communication. Messages are stored as beads issues, synced via git. **Setup:** ```bash # Set your identity (add to environment or .beads/config.json) export BEADS_IDENTITY="worker-1" ``` **Commands:** ```bash # Send a message bd mail send -s "Subject" -m "Body" bd mail send worker-2 -s "Handoff" -m "Your turn on bd-xyz" --urgent # Check your inbox bd mail inbox # Read a specific message bd mail read bd-a1b2 # Acknowledge (mark as read/close) bd mail ack bd-a1b2 # Reply to a message (creates thread) bd mail reply bd-a1b2 -m "Thanks, on it!" ``` **Use cases:** - Task handoffs between agents - Status updates to coordinator - Blocking questions requiring response - Priority signaling with `--urgent` flag **Cleanup:** Messages are ephemeral. Run `bd cleanup --ephemeral --force` to delete closed messages. See [docs/messaging.md](docs/messaging.md) for full documentation. ### Deletion Tracking When issues are deleted (via `bd delete` or `bd cleanup`), they are recorded in `.beads/deletions.jsonl`. This manifest: - **Propagates deletions across clones**: When you pull, deleted issues from other clones are removed from your local database - **Provides audit trail**: See what was deleted, when, and by whom with `bd deleted` - **Auto-prunes**: Old records are automatically cleaned up during `bd sync` (configurable retention) **Commands:** ```bash bd delete bd-42 # Delete issue (records to manifest) bd cleanup -f # Delete closed issues (records all to manifest) bd deleted # Show recent deletions (last 7 days) bd deleted --since=30d # Show deletions in last 30 days bd deleted bd-xxx # Show deletion details for specific issue bd deleted --json # Machine-readable output ``` **How it works:** 1. `bd delete` or `bd cleanup` appends deletion records to `deletions.jsonl` 2. The file is committed and pushed via `bd sync` 3. On other clones, `bd sync` imports the deletions and removes those issues from local DB 4. Git history fallback handles edge cases (pruned records, shallow clones) ### 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 **Blocking dependencies:** - `blocks` - Hard dependency (issue X blocks issue Y) **Structural relationships:** - `parent-child` - Epic/subtask relationship - `discovered-from` - Track issues discovered during work (automatically inherits parent's `source_repo`) - `related` - Soft relationship (issues are connected) **Graph links:** (see [docs/graph-links.md](docs/graph-links.md)) - `relates_to` - Bidirectional "see also" links (`bd relate `) - `duplicates` - Mark issue as duplicate (`bd duplicate --of `) - `supersedes` - Version chains (`bd supersede --with `) - `replies_to` - Message threads (`bd mail reply`) 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. ### Planning Work with Dependencies When breaking down large features into tasks, use **beads dependencies** to sequence work - NOT phases or numbered steps. **⚠️ COGNITIVE TRAP: Temporal Language Inverts Dependencies** Words like "Phase 1", "Step 1", "first", "before" trigger temporal reasoning that **flips dependency direction**. Your brain thinks: - "Phase 1 comes before Phase 2" → "Phase 1 blocks Phase 2" → `bd dep add phase1 phase2` But that's **backwards**! The correct mental model: - "Phase 2 **depends on** Phase 1" → `bd dep add phase2 phase1` **Solution: Use requirement language, not temporal language** Instead of phases, name tasks by what they ARE, and think about what they NEED: ```bash # ❌ WRONG - temporal thinking leads to inverted deps bd create "Phase 1: Create buffer layout" ... bd create "Phase 2: Add message rendering" ... bd dep add phase1 phase2 # WRONG! Says phase1 depends on phase2 # ✅ RIGHT - requirement thinking bd create "Create buffer layout" ... bd create "Add message rendering" ... bd dep add msg-rendering buffer-layout # msg-rendering NEEDS buffer-layout ``` **Verification**: After adding deps, run `bd blocked` - tasks should be blocked by their prerequisites, not their dependents. **Example breakdown** (for a multi-part feature): ```bash # Create tasks named by what they do, not what order they're in bd create "Implement conversation region" -t task -p 1 bd create "Add header-line status display" -t task -p 1 bd create "Render tool calls inline" -t task -p 2 bd create "Add streaming content support" -t task -p 2 # Set up dependencies: X depends on Y means "X needs Y first" bd dep add header-line conversation-region # header needs region bd dep add tool-calls conversation-region # tools need region bd dep add streaming tool-calls # streaming needs tools # Verify with bd blocked - should show sensible blocking bd blocked ``` ### 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" --description="Details..." --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" \ --description="Issues bd-A, bd-B, and bd-C are duplicates and need merging" \ -p 2 --deps discovered-from:bd-X --json ``` ## Development Guidelines > **📋 For complete development instructions**, see [AGENT_INSTRUCTIONS.md](AGENT_INSTRUCTIONS.md) **Quick reference:** - **Go version**: 1.24+ - **Testing**: Use `BEADS_DB=/tmp/test.db` to avoid polluting production database - **Before committing**: Run tests (`go test -short ./...`) and linter (`golangci-lint run ./...`) - **End of session**: Always run `bd sync` to flush/commit/push changes - **Git hooks**: Run `bd hooks install` to ensure DB ↔ JSONL consistency See [AGENT_INSTRUCTIONS.md](AGENT_INSTRUCTIONS.md) for detailed workflows, testing patterns, and operational procedures. ## 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 Development Tasks See [AGENT_INSTRUCTIONS.md](AGENT_INSTRUCTIONS.md) for detailed instructions on: - Adding new commands - Adding storage features - Adding examples - Building and testing - Version management - Release process ## Pro Tips for Agents - Always use `--json` flags for programmatic use - **Always run `bd sync` at end of session** to flush/commit/push immediately - **Check `bd info --whats-new` at session start** if bd was recently upgraded - **Run `bd hooks install`** if `bd info` warns about outdated git hooks - 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 Use `gh` CLI tools for checking issues/PRs (see [AGENT_INSTRUCTIONS.md](AGENT_INSTRUCTIONS.md) for details). ## Building, Testing, Versioning, and Releases See [AGENT_INSTRUCTIONS.md](AGENT_INSTRUCTIONS.md) for complete details on: - Building and testing (`go build`, `go test`) - Version management (`./scripts/bump-version.sh`) - Release process (`./scripts/release.sh`) --- **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! 🔗 ## 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" --description="Detailed context" -t bug|feature|task -p 0-4 --json bd create "Issue title" --description="What this issue is about" -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 --status in_progress` 3. **Work on it**: Implement, test, document 4. **Discover new work?** Create linked issue: - `bd create "Found bug" --description="Details about what was found" -p 1 --deps discovered-from:` 5. **Complete**: `bd close --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 (Alternative) For MCP-only environments (Claude Desktop, no shell access), install the MCP server: ```bash pip install beads-mcp ``` **Prefer CLI + hooks** when shell access is available - it uses less context and is more efficient. ### 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 docs/QUICKSTART.md. ## Landing the Plane (Session Completion) **When ending a work session**, you MUST complete ALL steps below. Work is NOT complete until `git push` succeeds. **MANDATORY WORKFLOW:** 1. **File issues for remaining work** - Create issues for anything that needs follow-up 2. **Run quality gates** (if code changed) - Tests, linters, builds 3. **Update issue status** - Close finished work, update in-progress items 4. **PUSH TO REMOTE** - This is MANDATORY: ```bash git pull --rebase bd sync git push git status # MUST show "up to date with origin" ``` 5. **Clean up** - Clear stashes, prune remote branches 6. **Verify** - All changes committed AND pushed 7. **Hand off** - Provide context for next session **CRITICAL RULES:** - Work is NOT complete until `git push` succeeds - NEVER stop before pushing - that leaves work stranded locally - NEVER say "ready to push when you are" - YOU must push - If push fails, resolve and retry until it succeeds