[rafaelmn]

Frankly this kind of stuff getting upvoted kind of makes HN less and less valuable as a news source - this is yet another "hey I trivially exposed something to the LLM and I got some funny results on a toy example".

These kind of demos were cool 2 years ago - then we got function calling in the API, it became super easy to build this stuff - and the reality hit that LLMs were kind of shit and unreliable at using even the most basic tools. Like oh woow you can get a toy example working on it and suddenly it's a "natural language interface to WinDBG".

I am excited about progress in this front in any domain - but FFS show actual progress or something interesting. Show me an article like this [1] where the LLM did anything useful. Or just show what you did that's not "oh I built a wrapper on a CLI" - did you fine tune the model to get better performance ? Did you compare which model performs better by setting up some benchmark and found one to be impressive ?

I am not shitting on OP here because it's fine to share what you're doing and get excited about it - maybe this is step one, but why the f** is this a front page article ?

[1]https://cookieplmonster.github.io/2025/04/23/gta-san-andreas...

[anougaret]

yeah it is still truly hard and rewarding to do deep, innovative software but everyone is regressing to the mean, rushing to low hanging fruits, and just plugging old A with new B in the hopes it makes them VC money or something

real, quality AI breakthrough in software creation & maintenance will require deep rework of many layers in the software stack, low and high level.