Automating GitHub Workflows with Claude 4

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Claude Opus 4 is Anthropic’s most superior and highly effective AI mannequin to this point, setting a brand new benchmark for coding, reasoning, and long-running duties. It may possibly autonomously deal with complicated, multi-hour duties, sustaining focus and delivering distinctive outcomes over 1000’s of steps.

On this tutorial, we are going to discover ways to use Claude Opus 4 to automate GitHub workflows, which can be utilized for resolving GitHub points, performing code critiques, and managing pull requests (PRs). We are going to discover ways to arrange the Claude App in your GitHub repository and invoke it immediately by means of feedback.

Setting Up Claude Code

1. Run the next command in your terminal to put in Claude Code globally:

   npm set up -g @anthropic-ai/claude-code

2. Go to the Anthropic Console and create an account.
3. Add at the least $10 in credit to your account utilizing a credit score or debit card.
4. Launch Claude Code by navigating to your venture listing and working:
5. Comply with the prompts to hook up with the Anthropic Console:

• A browser window will open, prompting you to log in to your Anthropic account.
• Copy the authentication code generated by the console and paste it into the Claude Code terminal.

As soon as authenticated, Claude Code will probably be prepared to make use of.

Establishing GitHub App Utilizing Claude Code

1. Open your terminal and sort claude to launch Claude Code.
2. As soon as inside Claude Code, kind /install-github-app to start organising the Claude App for GitHub Actions.
   
3. Navigate to your GitHub repository and create a pull request. Merge the pull request to make sure the repository is prepared for Claude integration.
   
   Screenshot from kingabzpro/bbc-news-class-mlops
4. Open your GitHub Motion workflow file (github/workflows/claude.yml) and add the next configuration:

   mannequin: 'claude-sonnet-4-20250514'

   
   Screenshot from .github/workflows/claude.yml

   This ensures that the most recent Claude 4 mannequin is used inside the Claude App.

5. Go to the Claude GitHub App web page: https://github.com/apps/claude.
6. Set up the app and grant it entry to your repository.

Creating the Pull Request Utilizing the GitHub Points

For this tutorial, we’ve chosen the Difficulty #9 from the kingabzpro/bbc-news-class-mlops github repository.

1. Go to Difficulty #9 within the repository.
2. Within the remark part of the difficulty, kind the next command:

   @claude add the docker compose file primarily based on the difficulty description

   The @claude point out triggers the GitHub Motion, permitting Claude to investigate the difficulty description and use it as context to generate the required code.

   
   Screenshot from kingabzpro/bbc-news-class-mlops
3. As soon as Claude completes the duty, it’ll create all the mandatory information and supply an choice to immediately create a pull request.
   
   Screenshot from kingabzpro/bbc-news-class-mlops
4. Click on on the Create PR hyperlink supplied by Claude and merge the modifications into your repository.

Screenshot from kingabzpro/bbc-news-class-mlops

The modifications will probably be carried out, and usually, Claude resolves the difficulty with 90% accuracy primarily based on the supplied context.

Different Use Instances of Github Claude App

Now we have used the GitHub challenge description to make edits and create the pull request. You’ll be able to strive the next use case too utilizing the identical workflow:

1. Automated Code Assessment: Analyze pull requests (PRs) for code high quality, potential bugs, and adherence to requirements.
2. PR Administration: Create, replace, and handle pull requests mechanically.
3. Difficulty Triage: Analyze points, categorize them, and counsel or implement fixes.
4. Debugging and Bug Fixing: Find bugs, implement fixes, and create PRs for evaluate.
5. Documentation Updates: Routinely replace documentation primarily based on code modifications.
6. Refactoring Code: Enhance code readability, efficiency, or maintainability.

Closing Ideas

Anthropic is rapidly rising because the go-to AI mannequin supplier for coding and software program engineering duties. The corporate affords a complete ecosystem that automates your complete improvement course of, together with constructing, testing, debugging, deploying, and monitoring functions. With Claude Code and its extensions, builders can seamlessly automate all these steps, making it a strong instrument for streamlining workflows.

Abid Ali Awan (@1abidaliawan) is a licensed knowledge scientist skilled who loves constructing machine studying fashions. At present, he’s specializing in content material creation and writing technical blogs on machine studying and knowledge science applied sciences. Abid holds a Grasp’s diploma in expertise administration and a bachelor’s diploma in telecommunication engineering. His imaginative and prescient is to construct an AI product utilizing a graph neural community for college kids combating psychological sickness.