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The day I taught AI to think like a Senior Developer

Is it just me, or are the code generation AIs we’re all using fundamentally broken? For months, I’ve watched developers praise AI coding tools while silently cleaning up their messes, afraid to admit how much babysitting they actually need. I realized that AI IDEs don’t actually understand codebases — they’re just sophisticated autocomplete tools with good marketing. The emperor has no clothes, and I’m tired of pretending otherwise. After two years of frustration watching my AI assistants constantly “forget” where files were located, create duplicates, and use completely incorrect patterns, I finally built what the big AI companies couldn’t (or wouldn’t.) I decided to find out: What if I could make AI actually understand how my codebase works?

For months, I’ve watched developers praise AI coding tools while silently cleaning up their messes, afraid to admit how much babysitting they actually need. As AI gets better at understanding codebases, the value of certain types of programming knowledge decreases: the mid-level programmer who primarily translates requirements into code without architectural insight may find themselves increasingly squeezed. The next generation of tools won’t just create embeddings of your code — they’ll build rich mental models from multiple perspectives, just like experienced developers do.

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