Are Agent Code Reviews for AI-Generated Code Worth It?

Matt McCormick reports that in early tests of an agentic AI pipeline mimicking the full Software Development Lifecycle (SDLC), many pull requests were approved with little comment from the Code Reviewer agent, while the end-to-end QA agent flagged issues and created follow-up tickets. The number of required iterations is decreasing as development progresses.

As I wrote previously, I’m exploring building an agentic AI pipeline that mimics the full Software Development Lifecycle https://mattmccormick.ca/building-systems-that-build-systems-setting-up-the-sdlc-in-langgraph/ SDLC . I’m still doing a lot of iteration as I run into issues. The iterations that need to be made are decreasing in number and getting smaller though. I thought it would be interesting to see some results from the first main run that it’s had end to end. While it’s in this development stage I’m keeping a fairly close eye on it. One thing I had noticed is that it seemed like a lot of the Pull Requests PRs were approved without much comment from the Code Reviewer agent. On the other hand, I had noticed some instances of the end-to-end QA agent flagging issues and then creating follow-up tickets to correct those.