As I wrote previously, I’m exploring building an agentic AI pipeline that mimics the full Software Development Lifecycle (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.
source & further reading
mattmccormick.ca — original article
Building Systems That Build Systems: Setting Up the SDLC in LangGraph
We're All Managers Now: My Journey Into AI-Assisted Development