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AI should only run as fast as we can catch up

(higashi.blog)
196 points yuedongze | 1 comments | 08 Dec 25 17:38 UTC | HN request time: 0s | source
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blauditore ◴[08 Dec 25 18:26 UTC] No.46195811[source]▶
All these engineers who claim to write most code through AI - I wonder what kind of codebase that is. I keep on trying, but it always ends up producing superficially okay-looking code, but getting nuances wrong. Also fails to fix them (just changes random stuff) if pointed to said nuances.

I work on a large product with two decades of accumulated legacy, maybe that's the problem. I can see though how generating and editing a simple greenfield web frontend project could work much better, as long as actual complexity is low.

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hathawsh ◴[08 Dec 25 18:39 UTC] No.46195979[source]▶
I think your intuition matches mine. When I try to apply Claude Code to a large code base, it spends a long time looking through the code and then it suggests something incorrect or unhelpful. It's rarely worth the trouble.

When I give AI a smaller or more focused project, it's magical. I've been using Claude Code to write code for ESP32 projects and it's really impressive. OTOH, it failed to tell me about a standard device driver I could be using instead of a community device driver I found. I think any human who works on ESP-IDF projects would have pointed that out.

AI's failings are always a little weird.

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1. seanmcdirmid ◴[09 Dec 25 04:38 UTC] No.46201280[source]▶
Have you tried having AI build up documentation on the code first and then correct it where it’s understanding is wrong, then running code changes with the docs in the context, you can even separate it out for each module if you are daring. Ai still takes alot of hand holding to be productive with, which means our jobs are safe for now until they start learning about SWe principles somehow.