Getting Started
What is Zapat?
An overview of how Zapat automates the full dev lifecycle from issue to merged PR.
Updated March 3, 2026
Zapat is an AI-powered engineering automation platform. Label a GitHub issue or comment @zapat, and Zapat assigns an AI agent team to triage, implement, review, and open a pull request — automatically. The average issue costs $6 and completes in under 15 minutes.
How the pipeline works
- You add a "zapat:implement" label to a GitHub issue — or comment @zapat on the issue.
- Zapat receives the webhook within seconds and creates a job in the pipeline.
- A triage agent reads the issue, classifies its type, and estimates complexity.
- An implementation agent reads the relevant source files, writes the code, and opens a draft PR.
- Review agents check the PR for security issues, code quality, and test coverage.
- If all checks pass and auto-merge is enabled, Zapat merges the PR. Otherwise, it is ready for your human review.
What Zapat handles well
- Bug fixes with clear reproduction steps
- Feature implementations from well-described issues
- Writing and extending test coverage
- CI/CD failures — Zapat reads the error and applies a fix
- PR code review with specific change requests
- Research tasks and technical summaries
- Rebasing branches that have fallen behind main
Tip
Zapat works entirely through GitHub — no separate CLI or local tooling required. Install the GitHub App, add a label or comment @zapat, and Zapat handles the rest.
The 10 trigger types
Zapat supports 10 distinct trigger types, each mapped to a specific workflow: triage, implement, review, rework, test, ci-fix, research, write-tests, rebase, and visual-verify. You activate them by applying the corresponding label to a GitHub issue or pull request — or by commenting @zapat on an issue or PR.
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