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How to Use JSON Code Maps with AI Tools

Solve the #1 problem in AI-assisted coding: lack of context.

AI tools like ChatGPT and Copilot are powerful, but without project-wide context, they guess. Code Maps fix that by giving your assistant a structured overview of your project — automatically.

💡 What can you do with a Code Map?

Give your AI assistant full project structure
Get smarter, mistake-free code suggestions
Refactor and debug faster — with fewer misunderstandings

🚀 How to use your Code Map

Simply add or attach your code_map.json at the start of your AI session (ChatGPT, Cursor, Continue, or others). The AI will automatically treat it as the full project context. No need to explain or copy/paste each time.

Then just ask:

“How should I split my auth.js logic into modules?”
“Is my folder structure following best practices?”
“How can I simplify generate.php?”

🧠 Why this works

Your map is AI-optimized and self-explanatory
It contains clear module responsibilities, structure, and relationships
It follows best practices for LLM understanding — no extra prompts required

💡 Pro Tip: You only need to provide the Code Map once per session. From that point on, you can interact with your assistant like a real teammate.

🛠️ Keep it fresh: AI is only as smart as your latest code map.
Learn how to update your Code Map regularly using the CodeMap CLI Scanner →

If you have any questions, feature requests, need help, or want to give feedback — feel free to contact us at