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Joined 11 months ago
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Cake day: June 8th, 2025

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  • I think the difference is that the LLMs can read all the context of your project and figure out what will work. If you want to add a feature, it will do so in a way that won’t break other things or offer you options if you can’t make that change without breaking something.

    Also, LLMs are super fast compared to humans so even when it’s slightly wrong, it can be fixed with another prompt. People act like the LLM doing something wrong makes using LLMs pointless, but they are ignoring the fact that the LLM can always take another prompt and keep working until it gets it right, which is usually immediately once the issue is recognized.

    You can even automate the feedback loop by describing the test scenarios and then having it run those tests, see the failures, and fix the code all by itself.

    I get LLMs might not work as well for law at this point, but they do work for coding.