Everyone’s talking about how AI writes 42% of committed code in 2026. Cool stat. But nobody’s really talking about the other 58%. I build with AI tools daily. Gemini CLI for quick iteration, Claude for heavier lifting and reasoning through architecture. And honestly? I love them. They’ve made me faster in ways I couldn’t have imagined two years ago. But here’s the thing nobody puts in their LinkedIn/twitter post: loving a tool and being clear-eyed about its limits are not mutually exclusive. After months of shipping real features for a real product, I’ve noticed the same patterns breaking down over and over. Same categories of mistakes. Same places where I have to step in and actually think. So this is that post. Not a doom piece. Not a “AI will take your job” or “AI is useless” take. Just an honest look at what I fix every single time AI writes code for me. The AI writes confident code. But confident doesn’t mean correct.…