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The use of AI for this seems somewhat overkill, one could just use a language and environment that is aware of whether `logger` or `logging` is available, and what variables are in scope. We have tools that allow us to treat programming as more than guessing the next character at random. Rather they allow you to offload tracking this context to the machine in a reliable way, typed languages and auto complete.

I do wonder if this is part of the divide in how useful one finds LLMs currently. If you're already using languages which can tell you what expressions are syntactically valid while you type rather than blowing up at runtime the idea a computer can take some of the cognitive overhead is less novel.





I think we are overcomplicating this a bit.

Typing "log" and tab to accept the auto complete is faster than writing the whole log yourself.

When you need to add a bunch of log statement, this tool makes the activity faster and less tedious.

Is it a technological breakthrough? No

Does it save hours of developer time each day? No

Is it nice to have? Hell yeah




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