[bittermandel]

This is exactly my experience at Lovable. For some parts of the organization, LLMs are incredibly powerful and a productivity multiplier. For the team I am in, Infra, it's many times distraction and a negative multiplier.

I can't say how many times the LLM-proposed solution to a jittery behavior is adding retries. At this point we have to be even more careful with controlling the implementation of things in the hot path.

I have to say though, giving Amp/Claude Code the Grafana MCP + read-only kubectl has saved me days worth of debugging. So there's definitely trade-offs!

[bee326]

My colleague recently shipped a "bug fix" that addresses a race condition by adding a 200ms delay somewhere, almost completely coded by LLM. LLM even suggests that "if this is not good enough, increase it to 300ms".

That says something about how much some people care about this.

[nomorewords]

Even doubly so because that's how most people have solved a similar problem, so that the LLM suggests that