bunqueue-dev

name	bunqueue-dev
description	Internal skill for contributing to bunqueue - architecture, testing, code conventions, and development workflow
disable-model-invocation	false
user-invocable	false
allowed-tools	Read, Grep, Glob, Bash, Edit, Write

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
    workflow/       # Workflow Engine (Workflow DSL, Engine, Executor, Store)
  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)

Workflow Engine

Located in src/client/workflow/. Pure consumer layer on bunqueue (no core modifications).

• workflow.ts — Fluent DSL: .step(), .branch(), .path(), .waitFor()
• engine.ts — Public facade: register, start, signal, getExecution, close
• executor.ts — Core logic: step execution, branching, compensation, signals
• store.ts — SQLite persistence for execution state (workflow_executions table)
• types.ts — StepContext, Execution, StepJobData, EngineOptions, etc.
• Export: import { Workflow, Engine } from 'bunqueue/workflow'

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)

Run tests in fresh isolated OrbStack Machines on the Mac's native architecture. The canonical gate is Ubuntu 24.04 (4 CPUs, request 16 GiB memory, 32 GiB disk); every release also uses Debian 13 on the same native architecture. On Apple Silicon use arm64; GitHub Actions provides the independent native amd64 gate. A Rosetta-translated amd64 Machine is diagnostic only. Create Machines with --isolated --isolate-network, never mount host paths or forward credentials, transfer only a sanitized worktree snapshot, pin Bun to the CI version, record effective cgroup limits, and delete each Machine after copying its logs. Direct macOS-host runs are diagnostic only. Machine runs supplement the mandatory Docker sandbox and never replace it.

bun test --parallel=4                   # Unit tests (four isolated file workers)
bun scripts/tcp/run-all-tests.ts        # TCP integration tests (~50 suites)
bun scripts/embedded/run-all-tests.ts   # Embedded integration tests (~35 suites)
bun run test:sandbox                    # Additional container isolation gate

All product suites and the sandbox 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