Automated testing is great, but getting intelligent, human-like feedback on your code before you merge is a superpower. If you want to catch bugs faster and reduce your team's Time to Merge (TTM), you should be automating your initial PR reviews.
Here is exactly how to set up an AI code review pipeline on your GitHub repositories in less than two minutes.
Step 1: Choose Your Reviewer App
Instead of building complex GitHub Actions from scratch, use a pre-built integration. For this tutorial, we will use Mesrai, which is completely free to install and routes your code through top-tier models like Claude and DeepSeek ephemerally (so your code stays private).
Step 2: Connect Your Repositories
Navigate to the MesrAI console and authenticate via GitHub. You will be prompted to select which repositories you want to enable. If you are just testing it out, select a single active repository.
Step 3: Open a Pull Request
Create a new branch, write some code (bonus points if you intentionally leave out error handling for an API call), and push it. Open a Pull Request.
Step 4: Review the Magic
Within seconds, the app will process the diff and leave contextual, inline comments directly in the GitHub UI, pointing out exactly where the logic fails and how to fix it.
It is incredibly easy to set up, and it saves your human reviewers hours of manual line-hunting.
Top comments (0)