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Automate Git Commits and PRs with Claude Code

Why automate commits and PRs at all?

If you spend a lot of time cleaning up diffs, writing commit messages, and filling in pull request templates, Claude Code can remove a surprising amount of friction. The goal is not to let AI “do everything.” The goal is to make the boring parts faster while keeping your review process intact.

A good workflow is: you make the code changes, Claude Code helps you understand the diff, suggests a clean commit strategy, and drafts the pull request summary. You still approve the final result, but the repetitive writing is handled for you.

Step 1: Connect Claude Code to a compatible API relay

Claude Code works best when it can talk to a reliable Claude endpoint with minimal setup. This is where 59API is useful. It provides low-cost, pay-as-you-go access to Claude models through the API base URL https://api.59api.com, and it is compatible with Claude Code, Codex, and any OpenAI SDK.

In practice, that means you can point your Claude Code configuration to 59API, sign in with your API key, and start using the same workflow you would use with a direct provider. The difference is cost control: 59API is among the cheapest relays, still uses native official-quality models, and supports Claude options like Opus, Sonnet, Haiku, and Fable without a downgrade layer. If you expect to automate commits and PRs every day, that matters fast.

Step 2: Let Claude Code read the diff, not your entire repo

The most useful prompt is usually the simplest one. After you finish a feature branch, ask Claude Code to inspect the staged changes and explain them in plain English. Keep the scope tight so the model focuses on the actual change set.

• Ask for a change summary: “Summarize the staged diff in 3 bullets.”
• Ask for commit grouping: “Suggest logical commit boundaries if this should be split.”
• Ask for a message: “Write a concise conventional commit message.”

This is especially useful when one branch contains a feature plus cleanup work. Claude Code can help you decide whether to keep it as one commit or split it into smaller commits that are easier to review and revert.

Step 3: Use Claude Code to draft the commit message

A strong commit message is short, specific, and aligned with the actual code. Claude Code is good at turning a messy diff into a message like “feat(auth): add token refresh retry logic” or “fix(search): prevent empty query crashes.”

A practical workflow is to stage the changes you want in the commit, then ask Claude Code to generate:

• a one-line subject
• a longer body if your team uses it
• a note about any breaking change or migration step

Before committing, check the result yourself. The point is not blind automation; it is faster authoring with human approval. That keeps history clean and avoids committing something that sounds good but misses the real intent.

Step 4: Turn the same diff into a pull request draft

Once the commit is ready, Claude Code can help create the PR description. This saves time because the model already knows the changed files, the reasoning behind the edit, and the likely edge cases.

For a useful PR draft, ask for a structure like this:

• What changed: one short paragraph
• Why it changed: user or business context
• How to test: exact commands or manual checks
• Risk areas: anything reviewers should inspect carefully

If your team uses a PR template, Claude Code can fill it in consistently. That makes it easier for reviewers to scan the diff, verify the test plan, and understand whether the change is safe to merge.

Step 5: Add guardrails so automation stays trustworthy

The best automated workflow still has a human in the loop. A few guardrails make Claude Code much safer to use for git work:

• Only let it summarize staged changes, not unreviewed repo-wide files.
• Run tests before asking for a PR summary.
• Review commit messages before pushing.
• Use smaller prompts for routine tasks and reserve deeper reasoning for tricky diffs.

For quick summaries and lightweight formatting, cheaper models can be enough. For more complex branch reviews, you may prefer Sonnet or Opus. With 59API, you can choose the model that fits the job instead of overpaying for every request.

A real-world workflow that actually saves time

Here is the daily loop many developers settle into: code the change, stage it, ask Claude Code for a diff summary, generate a commit message, run tests, then ask for a PR draft with testing steps and review notes. That sequence trims the most repetitive writing from your day without turning the workflow into a black box.

If you want to try this without committing to expensive usage, 59API is a strong place to start because it keeps Claude Code compatibility, charges pay-as-you-go, and offers referral rebates. For teams and solo developers alike, it is an easy way to automate git commits and PRs while keeping model quality high and costs predictable. Sign up, point Claude Code at https://api.59api.com, and try the workflow on your next branch.

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