How to automatically generate pull requests from GitHub issues using AI?

Automatically generate pull requests from GitHub issues using AI using Reason Machines

This task can be performed using Reason Machines

Ship evidence-backed pull requests automatically from assigned GitHub issues.

Best product for this task

Reason Machines

Reason is an autonomous AI engineer that connects to your GitHub repo, investigates issues, edits code, and ships evidence-backed pull requests with tests and benchmarks included.

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What to expect from an ideal product

  1. Reason Machines connects directly to your GitHub repo and reads assigned issues the same way a human engineer would, then investigates root causes before touching a single line of code.
  2. Instead of suggesting fixes, Reason writes the actual code edits, runs tests, and opens a pull request with benchmarks attached so reviewers see proof the change works.
  3. Teams using Reason stop paying engineering hours on triage and first-draft fixes, letting developers focus on architecture and review instead of repetitive issue resolution.
  4. Every pull request Reason ships includes tests it wrote itself, which means you are not merging blind patches but evidence-backed changes that satisfy the original issue requirements.
  5. If your backlog is full of assigned GitHub issues that nobody has time to start, Reason turns those open tickets into ready-to-review pull requests without waiting for a sprint slot.

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