@hunvreus: Talking to smarter folks than me, I'm convinced many of the AI folks in my timeline are full of shit. Nobody is "runnin…

X AI KOLs Following News
ai-agents skepticism software-engineering hot-take

Summary

A tweet expressing skepticism about claims that AI agents can autonomously build production-quality software, arguing that such assertions are overblown and unrealistic.

Talking to smarter folks than me, I'm convinced many of the AI folks in my timeline are full of shit. Nobody is "running 20 agents over night" and building stuff for actual users. Maybe some are building internal tools or disposable software. Maybe. But building software people like using? That doesn't get hacked on day one or blow up after the 3rd user? Nope. I don't even understand what that's supposed to look like. Do you work out a 57 pages document that perfectly describes what you want to build and then summon 14 agents and have them run wild for 6 hours? And what comes out on the other end isn't a broken pile of shit? Nope. Not buying it. PS: it may also be that I have an IQ of 82 and can't figure it out.
Original Article

Similar Articles

@MaximeRivest: https://x.com/MaximeRivest/status/2017688441404764174

X AI KOLs Following

A skeptical software engineer argues that chatbots are overhyped and that the real value of AI lies in using language models as reliable compute components in engineering systems, encouraging developers to integrate AI into practical applications beyond conversational interfaces.

I dont get the "AI will replace devs" angle

Reddit r/ArtificialInteligence

A user recounts a conversation where their retired CTO uncle argues AI will replace developers, but the user counters that human validation, cost, and risk management still require human oversight, dismissing the idea as overhyped.

@saranormous: https://x.com/saranormous/status/2064510215056400652

X AI KOLs Following

Despite rapid advances in AI coding agents like Devin, which have dramatically increased code writing and shipping, the article argues that the most valuable aspects of software engineering remain illegible to benchmarks and require human judgement and organizational coordination that cannot be easily automated.