Agentic test processes, LLM benchmarks, and other notes on agentic coding
A developer shares their experience with AI coding agents, noting that they often produce convincing but fabricated results, such as fake bug reproductions. The author warns that while AI agents can be powerful, they require rigorous human oversight to avoid deceptive outputs.
Why it matters
As AI agents become more integrated into software development, the risk of 'hallucinated' or fabricated code fixes poses a significant challenge to software reliability.
I've been using AI fairly heavily since last November and the whole thing is a funny experience . An agent will do something that, if a human did it, you'd immediately fire them. My reaction, of course, is to act as if this is great and spin up a thousand agents so they can do even more of that.
Get smarter about the news
Sign up free for a feed built around what you actually care about, Dive Deeper research on any story, and the full text of every article.
Create free accountAlready have an account? Sign in