GitHub Copilot Completes a Real Code Review (Claude Sonnet 4.5)
One of the more interesting experiments I recently ran was asking GitHub Copilot to perform a full code review on a .NET application that it had also helped rewrite. The original project was writte...
Source: dev.to
One of the more interesting experiments I recently ran was asking GitHub Copilot to perform a full code review on a .NET application that it had also helped rewrite. The original project was written in 2013. The application still worked, but the codebase had accumulated a lot of technical debt over the years. Rather than trying to gradually refactor it, I decided to do a complete rewrite with Copilot’s help using modern conventions in the .NET ecosystem. Once the rewrite was finished, I wanted to answer a simple question: How useful is an AI-generated code review on a real-world project? So I asked Copilot to review: The original legacy codebase The new rewritten solution The results were interesting. Watch Full Video Starting With a Simple AI Code Review The easiest way to run an AI code review is something like this: Perform a code review on this project. Copilot will usually return a fairly useful response that includes things like: Naming issues Readability improvements Basic desig