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> 3. Iterative Refinement

Beware of trying to get the LLM to output exactly the code you want. You get points for checking code in git and sending PRs, not tokens the LLM outputs. If it's being stupid and going in circles, or you know from experience that the particular LLM used will (they vary greatly in quality), you can just copy the code out (if you're not using some sort of AI IDE), fix it, then paste that in and/or commit it.

Some may ask, if you have to do that, then why use an LLM in the first place. It's good at taking small/medium conceptual tasks and breaking them down, and it's also a faster typer than me. Even though I have to polish its output, I find it easier to get things done because I can focus more on the higher level (customer) issues while the LLM gets started with lower level details on implementing/fixing things.



Exactly! Should have also worded that section similar to your comment here, but you hit the nail on the head.




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