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QuadWork
Ship on autopilot. Guard every merge with dual review.
QuadWork turns your GitHub backlog into a governed autonomous delivery loop. Head assigns tickets, Dev works in an isolated git worktree, and two independent reviewers must approve every PR before it merges and the next ticket starts. Mix Codex, Claude, and Gemini roles, steer from one local-first dashboard, and keep batches moving overnight.
If you are an AI builder living in AI IDEs, or ADEs as I call them, QuadWork is for you if:
1. You are tired of babysitting agents and would rather assign work, then go touch grass.
2. You do not want another native desktop app or cloud control plane.
3. You want GitHub to remain the SSOT across your devices and agents.
QuadWork is a local-first autonomous agent protocol and development environment connected to GitHub.
Queue tickets, start a batch, and the agent team runs this loop:
Issue → Head assigns → Dev implements in an isolated worktree → PR → two independent reviews → merge → next ticket
Head manages the queue. Dev opens the PR. Two reviewer agents independently approve or request changes. The next ticket does not start until both reviewers approve and the PR is merged.
I kept the setup deliberately minimal: a browser-based local control plane that runs on your machine, uses your existing GitHub CLI session, and keeps every delivery step visible through isolated worktrees and dual PR review.
It is also more context-efficient than making one agent carry an entire project. Each role loads only what it needs for its own ticket, review, or handoff.
I also built an operator MCP, so a main agent can inspect and control QuadWork directly. I run 20+ projects this way: each project has a lead agent, the lead uses QuadWork to ship, and I still get plenty of touch-grass time.
Cool, right?
About QuadWork on Product Hunt
“Ship on autopilot. Guard every merge with dual review.”
QuadWork was submitted on Product Hunt and earned 6 upvotes and 3 comments, placing #141 on the daily leaderboard. QuadWork turns your GitHub backlog into a governed autonomous delivery loop. Head assigns tickets, Dev works in an isolated git worktree, and two independent reviewers must approve every PR before it merges and the next ticket starts. Mix Codex, Claude, and Gemini roles, steer from one local-first dashboard, and keep batches moving overnight.
On the analytics side, QuadWork competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how QuadWork performed against the three products that launched closest to it on the same day.
Who hunted QuadWork?
QuadWork was hunted by Younghwi Cho. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of QuadWork including community comment highlights and product details, visit the product overview.
Younghwi Cho