When you ask an AI coding assistant to help with your software — fixing a bug, adding a feature — it has to read your code first. The problem is that most tools just dump everything into the AI's attention at once. That's expensive. It's slow. And it burns through your usage limits fast.
CocoIndex Code takes a different approach. Instead of handing the AI a whole filing cabinet, it reads your codebase the way a good editor reads a manuscript — understanding the structure, not just the words. It figures out which parts are actually relevant to your question, then hands the AI only those pieces.
The result: roughly 70% less work for the AI per request, with near-instant updates when your files change.
It runs entirely on your own machine. No account. No API key. No data leaving your office.
If you have a developer — or you're working with an AI coding tool yourself — the cost of AI assistance adds up quickly. Smaller, smarter context means faster answers, lower costs, and a coding assistant that doesn't get confused by irrelevant parts of the project.
Think of it like the difference between asking your accountant to review one contract versus handing them a box of every document you've ever signed.
Context window — The amount of text an AI can hold in its attention at once. Bigger isn't always better; too much and it gets noisy.
Token — A small chunk of text (roughly a word or part of a word). AI services charge by the token, so fewer tokens = lower cost.
MCP (Model Context Protocol) — A standard way for AI assistants like Claude to talk to external tools and data sources, like a universal plug.
Codebase — All the code files that make up a software project, usually stored in one place.
If you're already paying for AI coding tools, it's worth asking your developer whether they're working with something like this — or whether the AI is still reading the whole filing cabinet every single time.