Where I'm actually deploying AI coding tools at my next organization, and why.
If you read my last post, you know I'm not a believer in the uncritical sense. Context rot is real. The confidence-to-accuracy gap is real. The autonomous decision-making that nobody asked for is real. I've got the debugging hours to prove it.
So why am I walking into my next organization with a plan to deploy Claude Code on day one?
Because "not ready to replace your engineering team" and "genuinely useful in specific, bounded ways" are not mutually exclusive. The mistake I see people making is treating this as binary: either AI is going to 10x everything or it's overhyped garbage. That's not what I found. What I found is a tool with a real ceiling that happens to be above the floor for a lot of valuable work. The question worth asking isn't "is it good?" It's "what is it actually good at, and how do you keep it from screwing up the rest?"
Here's where I've landed.
