We often take fast search and seamless navigation in large codebases for granted—but under the hood, it’s anything but simple. This week, I’m sharing a behind-the-scenes look at how indexing makes it possible to instantly jump to a function, track variable usage, or trace a bug across thousands of files.
From tokenizing every line of code to maintaining rich symbol graphs, the process of building and updating indexes is what bridges the gap between code and cognition. And when done right, it doesn’t just make engineering faster—it unlocks entirely new ways to interact with software.
Stay tuned for a deeper dive into how these systems are built, what makes them performant, and how AI might reshape them next.
You could also refer to the step by step guide here.
Fast pass 🚀 - you can find the full code here. Only ~ 50 lines of Python code for the RAG pipeline, check it out 🤗!
Please give CocoIndex on Github a star to support us if you like our work. Thank you so much with a warm coconut hug 🥥🤗.
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