bunqueue-dev
Internal skill for contributing to bunqueue - architecture, testing, code conventions, and development workflow
Best use case
bunqueue-dev is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Internal skill for contributing to bunqueue - architecture, testing, code conventions, and development workflow
Teams using bunqueue-dev should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/bunqueue-dev/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How bunqueue-dev Compares
| Feature / Agent | bunqueue-dev | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Internal skill for contributing to bunqueue - architecture, testing, code conventions, and development workflow
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# bunqueue Development Guide
You are working on **bunqueue**, a high-performance job queue for Bun with SQLite persistence.
## Architecture
bunqueue uses a sharded priority queue architecture:
- **Shards**: Auto-detected from CPU cores (power of 2, max 64). Jobs are assigned via `fnv1aHash(queue) & SHARD_MASK`
- **Persistence**: SQLite in WAL mode with a 10ms WriteBuffer for batching writes
- **Transport**: TCP (msgpack) on port 6789, HTTP on port 6790
- **Two modes**: Embedded (in-process) and TCP (client-server)
### Request Flow
1. **PUSH**: Client -> TcpPool -> TcpServer -> QueueManager -> Shard -> PriorityQueue -> WriteBuffer -> SQLite
2. **PULL**: Client -> TcpServer -> QueueManager -> Shard -> PriorityQueue.pop()
3. **ACK**: Client -> TcpServer -> AckBatcher -> Shard.complete() -> jobResults (LRU)
4. **FAIL**: Client -> TcpServer -> Shard.fail() -> retry (backoff) OR -> DLQ
### Directory Structure
```
src/
cli/ # CLI interface
client/ # SDK (Queue, Worker, FlowProducer, Bunqueue)
queue/ # Queue with DLQ, stall detection
worker/ # Worker with heartbeat, ack batching
tcp/ # Connection pool, reconnection
domain/ # Pure business logic
queue/ # Shard, PriorityQueue, DlqShard, UniqueKeyManager
application/ # Use cases and managers
operations/ # push, pull, ack, query, queueControl
infrastructure/ # Persistence, server, scheduler, backup
shared/ # Utilities (hash, lock, lru, skipList, minHeap)
```
## Code Conventions
- **MAX 300 lines per file** - split if larger
- One concern per file (Single Responsibility)
- Export only what's needed
- Lock hierarchy: `jobIndex` -> `completedJobs` -> `shards[N]` -> `processingShards[N]`
## Testing (MANDATORY before any commit)
```bash
bun test # Unit tests (~5000 tests)
bun scripts/tcp/run-all-tests.ts # TCP integration tests (~50 suites)
bun scripts/embedded/run-all-tests.ts # Embedded integration tests (~35 suites)
```
All three must pass. No exceptions.
## Bug Fixing Process
NEVER fix a bug directly. Always:
1. Write a test that reproduces the bug
2. Launch subagents to fix the bug
3. Prove the fix with a passing test
## Publishing
After every commit:
1. Bump version in `package.json`
2. Update changelog in `docs/src/content/docs/changelog.md`
3. `git push origin main`
4. `bun publish`Related Skills
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