[sunnyam]

I have the same opinion, but my worry with this attitude is that it's going to hold me back in the long run.

A common thread in articles about developers using AI is that they're not impressed at first but then write more precise instructions and provide context in a more intuitive manner for the AI to read and that's the point at which they start to see results.

Would these principles not apply to regular developers as well? I suspect that most of my disappointment with these tools is that I haven't spend enough time learning how to use them correctly.

With Claude Code you can tell it what it did wrong. It's a bit hit-or-miss as to whether it will take your comments on board (or take them too literally) but I do think it's too powerful a tool to just ignore.

I don't want someone to just come and eat my cake because they've figured out how to make themselves productive with it.

[apercu]

I think of current state LLMs as precocious but green assistants that are sometimes useful but often screw up. It requires a significant amount of hand holding, still usually a net positive in my workflow but only (arbitrarily) a modest productivity bump (e.g. 10-15%). I feel like if I can get better at reigning in LLMs I can improve this productivity enhancement a bit more, but the idea that we can wholesale replace technical people is not realistic yet.

If I were a non-tech, non-specialist and/or had no business skills/experience and my job was mostly office admin I would be retraining however, because those jobs may be over except as vanity positions.