[dm3]

I find LLMs via Aider great for:

* code translation - e.g. convert a self-contained implementation of a numerical algorithm from one language to another and generate test cases and property tests which make sure the implementations are equivalent. The goal is to avoid having to proof read the generated code.

* one-off scripts - any task where code design doesn't matter, the amount of code is limited to couple hundred lines (GPT-4o) and the result will be thrown away after use.

* API exploration - producing examples for APIs and languages I'm not fluent in. Reading reference documentation gives a better understanding, LLMs get the results out faster.

[thierrydamiba]

Why aider?

[jamil7]

Not OP but aider is pretty useful because it can write files in your repo, run commands commit changes etc. It's pretty flexible and easy to give it context by just providing a path.