This workflow automates the process of reviewing pull requests on GitHub using AI capabilities. When a pull request is created or updated, the workflow triggers and retrieves the list of changed files along with their diffs via GitHub API. It then constructs a detailed prompt outlining the code differences, mimicking a senior developer’s review, and sends this prompt to an OpenAI model (GPT-4). The AI generates inline comments and suggestions for code improvements. Subsequently, the review is posted as a comment on the pull request, and a label such as ‘ReviewedByAI’ is automatically applied. The workflow also facilitates referencing team coding guidelines stored in Google Sheets, ensuring reviews align with best practices. This automation streamlines code reviews, reduces manual effort, and provides consistent, quality feedback, especially useful for teams seeking rapid, reliable peer review assistance.
Automated Pull Request Code Review with AI Assistance
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, code, github, githubTrigger, googleSheetsTool, httpRequest, stickyNote |
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