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

> 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/stacks/ai-pull-request-to-reviewed-release-stack
- Estimated monthly cost: Free or limited plans may support a pilot; team reviews, agent usage, and hosting can add charges.
- Last materially updated: 2026-09-06
- Best for: Lean software teams

## Problems this stack solves

- Small product fixes
- Reviewable feature increments

## Recommended tools

### Delivery assistant

Recommended: Revolte

Why: Keep investigation, implementation, and test evidence connected.

### AI reviewer: choose one

Recommended: CodeRabbit, Qodo

Why: Use repository-context review to complement, not replace, tests and human judgment.

## Beginner setup plan

1. Write expected behavior, acceptance tests, excluded files, and rollback steps. Work in a branch with limited credentials and no production secrets in prompts.
2. 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.
3. 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.
4. 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.

## Included workflows

- https://gptnavi.com/workflows/ai-pull-request-to-reviewed-release