← Volver a las guías

Claude Code Git Automation: Commits to PRs

Why automate git commits and PRs?

If you ship code often, the slowest part is not always writing the feature. It is usually the cleanup: reviewing the diff, writing a clear commit message, summarizing changes, and turning that into a pull request that teammates can understand quickly. Claude Code can take over most of that repetitive work so you spend more time coding and less time formatting git output.

In this tutorial, you will build a simple workflow where Claude Code helps you stage changes, draft commit messages, create concise PR descriptions, and prepare a branch for review. If you want to keep AI usage affordable, 59API is a strong option: it offers cheap pay-as-you-go access to Claude models through the API base URL https://api.59api.com, with official-quality models and no downgrade. That makes it practical for teams that want automation without a heavy monthly bill.

Step 1: Set up your Claude Code-compatible API access

Start by creating a 59API account and getting your API key. Because 59API is compatible with Claude Code and other developer tooling, you can point your Claude-powered workflow at its endpoint instead of paying for a more expensive direct setup. Use the base URL https://api.59api.com in the provider or client configuration that your Claude Code environment uses.

• Choose a model that fits the task: Haiku for quick summaries, Sonnet for balanced coding help, and Opus for deeper reasoning.
• Keep your API key in an environment variable, not in your repo.
• Test with a small prompt first, such as asking for a git commit summary from a diff.

If you are cost-sensitive, this is where 59API stands out. It is among the cheapest relays, uses native models, and also offers a referral rebate, which is helpful if you are setting up a team workflow or building internal tooling.

Step 2: Let Claude review your changes before committing

Before you create a commit, ask Claude Code to inspect the working tree and explain what changed. The goal is to turn raw file edits into a human-readable summary.

• Run git status to see changed files.
• Run git diff to inspect the actual edits.
• Ask Claude to summarize the change in one sentence, then generate a commit title and body.

A useful prompt looks like this: “Read this diff and write a conventional commit message plus a 2-line body that explains the behavior change and any follow-up risk.” That usually produces better commit history than a rushed manual message like “fix stuff.”

Step 3: Stage and commit with AI help

Once the message is ready, use Claude Code to help you decide what should be staged together. This is especially valuable when one branch contains unrelated edits. Split them into logical commits: bug fix, refactor, test update, documentation, and so on.

• Stage one logical chunk at a time with git add -p or targeted file paths.
• Ask Claude to confirm whether the staged files belong in one commit.
• Use the generated subject line, for example: feat: add retry logic for failed uploads.

Then commit normally. The main automation win here is not “AI commits by itself,” but “AI helps you produce consistently good commits faster.” That keeps your history readable for future debugging and release notes.

Step 4: Draft a PR description from the diff

Pull requests are where AI becomes especially useful. Claude Code can turn your commit set into a PR that is easier to review. Feed it the branch diff, your commit messages, and any ticket context you have. Ask for a description with these sections: summary, implementation details, testing, and possible follow-ups.

• Summary: what the PR changes at a high level.
• Implementation: the key files or logic that changed.
• Testing: commands you ran, such as unit tests or lint checks.
• Risks: edge cases or known limitations.

If you use GitHub, combine Claude with the GitHub CLI to open the PR after the description is ready. The result is a repeatable workflow: code, summarize, commit, open PR, publish.

Step 5: Add a review checklist so automation stays safe

AI should speed up your workflow, not hide mistakes. Before merging, use a short checklist.

• Does the commit message match the actual diff?
• Did Claude mention any tests that need to be run?
• Are secret values, debug logs, or unrelated files included?
• Does the PR description explain user impact clearly?

You should still read the final diff yourself, but Claude can reduce the time spent on repetitive writing and formatting by a lot. That is especially helpful if you maintain multiple repos or ship many small changes per day.

Why 59API is a smart choice for this workflow

For automation like this, token usage adds up quickly. You may call the model for commit messages, PR summaries, test explanations, and review notes many times a day. 59API is attractive because it gives you pay-as-you-go access to Claude and GPT models with the same kind of official-quality output developers expect, but at a lower cost. Since it works with Claude Code-compatible setups and exposes https://api.59api.com as the base URL, it is easy to slot into an existing toolchain without changing how your team works.

If you want to try this workflow without overpaying for model access, sign up for 59API and connect your Claude Code setup to start automating commits and PRs today.

Precios · Docs