The secret to 10x engineering isn't a better prompt—it's better context. Learn how to feed AI exactly what it needs to produce production-ready code.
When you give AI too much context, the 'signal' gets lost in the 'noise'. Hallucinations happen when the model tries to guess relationships across thousands of lines of irrelevant code.
Included in the Senior Dev Accelerator, these modules teach you how to handle complex repos without hitting token limits.
Learn why dumping your entire repo into a chat is the fastest way to get hallucinated APIs. Master the art of minimal context.
Scale your engineering standards. Build a project-wide context configuration that forces AI to respect your specific patterns.
Techniques for removing boilerplate and noise from your context window to leave more room for complex logic reasoning.
Understand how tools like Cursor index your codebase and how to "steer" the search to find the files that actually matter.
No. While we focus heavily on Cursor's advanced indexing, the principles of token management and signal-to-noise ratio apply to ChatGPT, Claude Project knowledge, and GitHub Copilot.
It is a powerful configuration file that tells Cursor exactly how to interpret your code, which libraries to prefer, and which patterns to avoid. It acts as a persistent 'pre-prompt' for your entire team.
Specifically yes. We teach you how to extract only the necessary 'knowledge' from legacy files without letting the AI get confused by outdated patterns.
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