alt Hacker News> Stop trying to use it as all-or-nothing. You can still make the decisions, call the shots, write code where AI doesn't help and then use AI to speed up parts where it does help.
You're assuming that finding the places where AI needs help isn't already a larger task than just writing it yourself. AI can be helpful in development in very limited scenarios but the main thrust of the comment above yours is that it takes longer to read and understand code than to write it and AI tooling is currently focused on writing code.
We're optimizing the easy part at the expense of the difficult part - in many cases it simply isn't worth the trouble (cases where it is helpful, imo, exist when AI is helping with code comprehension but not new code production).
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The problem I have with this take is it's focused on solving the right now problem.
Yes, it's quicker to do it yourself this time, but if we build out the artifacts to do a good enough job this time, next time it'll have all the context it needs to take a good shot at it, and if you get overtaken by AI in the meantime you've got an insane head start.
Which side of history are you betting on?
> You're assuming that finding the places where AI needs help isn't already a larger task than just writing it yourself.
Not assuming anything, I'm well versed in how to do this.
Anyone who defers to having AI write massive blocks of code they don't understand is going to run into this.
You have to understand what you want and guide the AI to write it.
The AI types faster than me. I can have the idea and understand and then tell the LLM to rearrange the code or do the boring work faster than I can type it.