I’ve been experimenting with automating pull request reviews for DevOps code, and built a small workflow called DevOps GitHub PR Reviewer using n8n and OpenAI.
Here’s how this workflow works, step by step
1️⃣ Detect a Pull Request: The workflow automatically triggers whenever a pull request is opened or updated in a repository.
2️⃣ Collect the Code Changes: It fetches all the changed files and their diffs directly from GitHub using the REST API, so the reviewer sees exactly what was modified.
3️⃣ Prepare Review Instructions: Those diffs are then organized and converted into a clear, structured prompt that an AI reviewer can understand.
4️⃣Review and Post Feedback: The AI reviews the changes from a DevOps perspective and posts its feedback directly back on the pull request as a comment.
This doesn’t replace human reviewers, but it’s a great way to catch common issues early, speed up reviews, and add consistent DevOps best-practice feedback to every PR.
🎥 YouTube link: https://lnkd.in/grehU8dW
🔗 GitHub link: https://lnkd.in/gNbpChN6
For a deeper exploration of these topics, feel free to check out my book "Building A Small Language Model from Scratch: A Practical Guide."
✅ Gumroad: https://lnkd.in/gXMaBbSG
✅ Amazon: https://lnkd.in/gVGVs-j5
✅ Leanpub: https://lnkd.in/d2abCFMY
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