wtf is life-debugger?

The Life Debugger is a small Python tool that explains most bugs instantly and for free, and only calls on a bigger AI model for the genuinely hard cases. Its main idea is that most bugs are the same small handful of mistakes, a typo, a missing colon, comparing with the wrong operator, or a value of the wrong type, and those do not need a slow, paid AI model to catch. The tool checks for those known patterns first, for free, and never makes up an answer it is not sure of. When a bug is genuinely new, you can plug in any AI model you already have access to, and the tool will ask it once and then remember the fix. That memory saves to disk and reloads every time you run the tool, so the more you use it, the more bugs it can catch for free without asking a model again. The author describes this memory as the part that makes the tool feel alive, since it keeps learning from what it has already solved. To use it, you import a debug function, pass it your code as text, and get back a report listing the line number and explanation for each issue found. If you want it to handle harder bugs, you write a small function that calls your chosen AI model and pass that in as an optional argument. The project is honest that it will not catch everything, and it says so directly instead of guessing when it is unsure. Fuller details on how it works and where it falls short live in a separate architecture document in the repository. The code itself is just a few small Python files with no required dependencies for the basic version, and it is released under the AGPL-3.0 license, which is free and open but asks that changes to a hosted version of the tool be shared back.