# Move an AI-generated pull request to a reviewed release

> Implement one scoped change, review the diff with AI and a human, and ship only after tests and rollback checks pass.

- Canonical: https://gptnavi.com/workflows/ai-pull-request-to-reviewed-release
- Category: Coding
- Difficulty: Advanced
- Setup time: 2-4 hours
- Estimated time saved: Measure in your pilot; no guaranteed saving
- Last materially updated: 2026-09-06
- Best for: Lean software teams
- Tools: Revolte, CodeRabbit, Qodo

## Quick answer

Use Revolte for a small repository task and one AI reviewer, either CodeRabbit or Qodo. Neither a green AI review nor a polished preview substitutes for requirements, regression tests, and production approval.

## When to use it

- Small product fixes
- Reviewable feature increments

## Steps

1. **Specify and isolate the change** — Write expected behavior, acceptance tests, excluded files, and rollback steps. Work in a branch with limited credentials and no production secrets in prompts. Tool: Revolte. Expected output: A scoped issue and isolated branch
2. **Implement and collect evidence** — Use a Revolte session to investigate and implement the change. Run the repository's actual tests, record commands and results, and inspect generated files before opening a pull request. Tool: Revolte. Expected output: A small diff and reproducible test results
3. **Review regressions** — Have CodeRabbit review the pull request, or use Qodo if already installed. Investigate each actionable finding and add a regression test for confirmed issues. Do not auto-merge based on reviewer output. Tool: CodeRabbit. Expected output: Resolved findings and added regression tests
4. **Approve and verify release** — A human checks the diff and preview on relevant devices, confirms deployment approval and rollback, then releases using the existing pipeline. Smoke-test the affected production journey and watch error logs. Tool: Revolte. Expected output: Release evidence and rollback reference

## Prompt templates

### Adaptable task prompt

Review [diff] against [acceptance criteria]. Prioritize correctness, authorization, data loss, and missing tests. For each finding provide a file, a concrete failure scenario, and a minimal regression test. Separate verified bugs from questions.

## Common mistakes

- Giving an agent production permissions during development
- Counting generated tests without checking what they assert

## Related workflows

- https://gptnavi.com/workflows/structured-ai-extraction-with-held-out-evaluation