Agents that ship
Turn your GitHub repos into staffed pipelines.
Define a fleet of AI agents, hand them your issues, and get reviewed pull requests back. Your runners. Your key. Your logs. Nothing leaves your org, and nobody meters your tokens.
Install the app on a repository, and its first pipeline is one confirmation away.
Issues arrive
Open an issue in a connected repo, the way you already do.
Agents pick them up
The groomer approves, the implementer builds, the reviewer checks, and the fixer resolves what the review found.
Reviewed pull requests come back
Every run leaves a pull request and a record of its outcome, duration, and cost.
Features
Everything a staffed pipeline needs
A fleet you define
Four roles: groomer, implementer, reviewer, and fixer. Give each its own model, prompt, schedule, and caps.
Compiled into GitHub Actions
Your agents become workflows that run in your own org, on your runners, with your LLM key. Nothing runs anywhere else.
Every run recorded
Outcomes, duration, cost, and merged-PR throughput per agent, with full history and reports across every repo you connect.
Versioned end to end
Config and prompts are versioned together, so any change is a diff you can read, roll back, or stage across your fleet.
Ready to staff your pipeline?
Install the app on a repository, confirm the starter pipeline, and watch reviewed pull requests come back.
Install on GitHub