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Context / understanding of your codebase is the most important part of AI coding. The current AI tools like claude code and cursor aren't super great at this on their own. They want you to use a plan mode to build up a clear plan of what files to touch and what needs done.

I like Augment Code for it's context engine - it is a lot better at finding where in the codebase changes need to be made without the planning.

It's the central thesis to what we're doing at Cortex.build - our local model can compete with large SOTA models because of how much work we do on mapping the codebase and creating just in time context for our LLM to make small and precise changes.



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