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My take on the subject has shifted the last months. I had issues with AI's output, the mistakes, hallucinations.

Now I use AI to go asap to 70% of my code. The last 30% is a manual, low AI, approach where I fix the hallucinations, file structure and do the stuff AI is failing me at.

I use Claude Chat, ChatGPT, Claude Code and Windsurf (switching between those all the time)

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What about the cases where the AI doesn't hallucinate, produces working code, but the code is just about good enough?

I've just written about that exact scenario. A shoddy piece of code that's just about okay: https://richardcocks.github.io/2025-03-24-PasswordGen

If you're a junior, you might not realise there's anything wrong with the generated code at all.

So which event make you change your approach

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