[3D30497420]

I doubt LLM-generated software is going to replace more traditional software any time soon, especially when accuracy is pretty important (such as accounting). One thing I learned from years as a PM in a very data-centric organization is understanding data, how it is generated/stored/cut/etc. is very important to getting accurate results.

Where I could see some really interesting results is the marriage of the two. For example, you have a solid data structure that an LLM can generate infinite custom views from.

[duckydude20]

i think the same, i think backend where data is more prominent is not going anywhere soon. llms produce very bad data structures.

but from good apis, good data, good interface they can generate quite nice frontends.

i guess, frontend as job is going to have a hard time.

also, writing code is not cognitive load, its always reading code. and llms just increase that. so i mostly try to avoid using them.

but i do like researching with them. context free. like googles ai mode, etc. not from my code editor cause then they get biased and suggest stupid sh8t all the time.

[theshrike79]

https://www.databricks.com is doing this already with data as well as multiple other companies

And I have first hand knowledge of well-known companies building their own tooling because the SaaS offerings have a bad price/feature ratio.