Post

Quitting programming as a career right now because of LLMs would be like quitting carpentry as a career thanks to the invention of the table saw.

I shared Armins video about agentic coding with our devs. They are all mid/end 20 years old. They said this video was too deep in it and they didn't get what he is talking about. I told them that I expected this and that they should start looking into it more in depth to not fall behind.

I'd second this point. LLMs/coding tools allow catching up in record time. Also since the tools tend to get better and better, some older problems have already been solved, which required no longer useful patterns to work with LLMs.

So it even may make sense to not dive too deep in until there is a good reason or motivation. But if there is such motivation, it can be extremely rewarding.

It's my experience with it. There is quite something between 'type some stuff in ChatGPT' and restructuring your codebase for agentic agents in your dev environment. Context rot, few shot learning, mcp vs code gen, vector dbs for RAG and the differences between local models to big cloud hosted ones