Automate gut hub workfloose with Claude 4

Picture by the writer

Claude Ops 4 is the most advanced and powerful AI model so far, which has set a new standard for coding, reasoning and long -running tasks. It can handle independently complex, multi -hour tasks, maintain focus and provide more extraordinary results than thousands of stages.

In this tutorial, we will learn how to use Claude Ops 4 to automatically make gut hubwork flows, which can be used for solving gut hub cases, performing code reviews, and management of bridges (PRS). We will learn how to set the cloud app in your gut hub repository and request it directly through comments.

Compiling a cloud code

1. Run the following command in your terminal to install the Claude Code globally:

   npm install -g @anthropic-ai/claude-code

2. See Anthropic console And create an account.
3. Add at least $ 10 to your account using a credit or debit card.
4. Launch the Claude Code by navigation and running to your project directory:
5. Follow indicators of connecting an anthropic console:

• A browser window will open, which will indicate you to log into your anthropic account.
• Copy the verification code produced by the console and paste it into the cloud code terminal.

Once confirmed, the cloud code will be ready to use.

Compiling a gut hub app using a cloud code

1. Open your terminal and type cloud to launch the cloud code.
2. Once inside the cloud code, type Type /Install Bothess app to start the Claude app for Gut Hub Actions.
   
3. Go to your gut hub repository and apply a bridge. Integrate the bridge application to ensure storage for cloud integration.
   
   From the screenshot Kingbzpro/BBC News Class-MPs
4. Open your Gut Hub Action Work Flow File (Gut Hub/Workflow/Claude) Open and Add the following layout:

   model: 'claude-sonnet-4-20250514'

   
   From the screenshot .gethub/workflows/claude.yml

   This ensures that the latest cloud 4 model is used inside the cloud app.

5. View the Claude Gut Hub app page: https://github.com/apps/claude.
6. Install the app and give it access to your reservoir.

Make a bridge request using gut hub problems

This tutorial of L, we have chosen Issue #9 By Kingbzpro/BBC News Class-MPs Gut hub repository.

1. Release #9 in the storage.
2. In the comments section of this issue, type the following command:

   @claude add the docker compose file based on the issue description

   @claude The mentioned gut hub triggers action, which allows the cloud to use the problem as a context to analyze the details and create the desired code.

   
   From the screenshot Kingbzpro/BBC News Class-MPs
3. Once the cloud is completed, it will create all the necessary files and provide the option to make a direct bridge application.
   
   From the screenshot Kingbzpro/BBC News Class-MPs
4. Click the Create PR Link provided by the cloud and integrate the changes into your reservoir.

From the screenshot Kingbzpro/BBC News Class-MPs

Changes will apply, and in most cases, the cloud -provided context resolves this problem with 90 % accuracy.

Other usage matters of the Catal Claude app

We have used to edit the Gut Hub Issue details and make a bridge request. You can also try the following use case using the same workflow:

1. Automatic Code Review: Analyze bridge requests (PRS) to comply with code quality, potential insects, and standards.
2. PR Management: Automatically, update and manage the bridge requests.
3. Issue the tragedy: Analyze, classify them, and propose or implement fixes.
4. Debugging and bug fixing: Find insects, enforce corrections, and create PRS to review.
5. Documents updates: Update documents automatically based on code changes.
6. Refecting code: Improve the code reading qualification, performance, or maintaining.

The final views

Anthropic is rapidly emerging as the AI ​​model provider for coding and software engineering tasks. The company offers a comprehensive ecosystem that automate the entire development process, including building, testing, debugging, deployment, and surveillance applications. With the cloud code and its expansion, the developers can automatically develop all these stages without interruption, which can make it a powerful way to smooth workflows.

Abid Ali Owan For,,,,,,,,,, for,, for,,,, for,,,, for,,, for,,,, for,,,, for,,,, for,,, for,,, for,,, for,,, for,,,, for,,, for,,, for,,,, for,,, for,,,, for,,, for,,, for,,,, for,,, for,,, for,,,, for,,, for,,,, for,,, for,,,, for,,, for,,,, for,,, for,,,, for,,,, for,,,, for,,,, for,,,, for,,,, for,,,, for,,, for,,, for,,, for,,, for,,,,, for,,,, for,,,, for,,,, for,, for,.@1abidaliawan) A certified data scientist is a professional who loves to create a machine learning model. Currently, he is focusing on creating content and writing technical blogs on machine learning and data science technologies. Abid has a master’s degree in technology management and a bachelor’s degree in telecommunications engineering. Its vision is to create AI products using a graph neural network for students with mental illness.