Learning Timeline
Key Insights
Advantages of Specialized AI Models
Using a dedicated review tool is more effective than manually asking within Cursor or Claude because these custom models are specifically trained to identify vulnerabilities and bugs within large codebase structures.
Essential for Solo Developers
For solo developers or those with less experience, these tools act as a 'second pair of eyes'. Even if you are highly skilled, the pace of work often leads to overlooked bugs, so AI helps provide peace of mind that your code is secure.
The Cost of Security Investment
Additional features, such as those in Cursor, may cost around $40 per month, but it is a worthwhile investment to ensure code quality and application security before deployment.
Step by Step
How to Set Up AI Code Review for GitHub Pull Requests
- Choose your preferred AI Code Review tool (e.g., CodeRabbit, PR-Agent, or add-on features in Cursor).
- Visit the tool's website and click the 'Get Started' or 'Install to GitHub' button.
- Log in using your GitHub account to grant integration access.
- Select the specific repositories you want the AI to monitor automatically.
- Grant 'Read and Write' permissions to the AI bot so it can leave comments on Pull Requests.
- Make code changes on a new branch in your terminal or IDE (such as Cursor).
- Click 'Commit' and 'Push' to send those code changes to GitHub.
- Open GitHub and click the 'Compare & pull request' button.
- Click 'Create pull request' to submit the code for review.
- Wait a few moments for the AI bot to automatically analyze your code.
- Check the 'Conversation' section of the Pull Request to see bug reports, security issues, and improvement suggestions from the AI.
