AI coding isn't slow because it writes badly. It's slow because it gets lost.

AI coding isn't slow because it writes badly. It's slow because it gets lost.

If you mostly use chat-style AI and keep wondering whether each new tool means you're already behind, I had the same panic. The thing is, the real time sink usually isn't the writing. It's the wandering.

That's what grabbed me about CodeGraph. Instead of showing off a bigger brain, it tries to stop the scavenger hunt. Honestly, that feels less like magic and more like finally walking straight to the drawer you needed.

In the repo's benchmark across 6 real codebases, it reports 92% fewer back-and-forth searches and got answers 71% faster. Some questions were answered in just 1 to 6 search moves, which is basically the difference between checking one shelf and tearing apart the whole room.

Plot twist: that means the bottleneck wasn't the typing. It was the searching. Small boundary before anyone overhypes it: this was only tested in the repo's own benchmark across 6 real codebases, so I wouldn't treat it like a promise for every language or every chaotic repo.

Lowkey, that's the part I'd save: before paying for a bigger brain, make sure your AI has a better map. Save this for your next tool rabbit hole, then send it to the friend chasing model size over direction. Would you rather fix the writer, or fix the wandering? 🧭👀

#AICoding #DevTools #CodeSearch #BuildInPublic #IndieHackers