Agents MD Generator FAQs

Question 1

Which programming languages are supported for codebase analysis?

Accepted Answer

Agents MD Generator currently supports Python, C#, TypeScript, JavaScript, and Go. It intelligently detects language-specific patterns for parsing and context extraction.

Question 2

Does it handle large codebases and frequent updates efficiently?

Accepted Answer

Yes. It uses incremental scanning, meaning only files with changes are re-parsed. It also performs semantic diffs to only include relevant public symbol changes, and streams large analysis payloads in chunks, ensuring efficiency for big projects and continuous development.

Question 3

Can I customize what gets included or excluded from the analysis?

Accepted Answer

Absolutely. You can create a `.agents-config.json` file in your project root to define glob patterns for files to exclude or include, specify languages to analyze, set a 'max_file_size_bytes', and adjust the 'impact_threshold' for incremental updates.

Question 4

How does Agents MD Generator provide structured context to AI agents?

Accepted Answer

It deeply analyzes code for elements like architecture, data flow, conventions, environment variables, entry points, and the public API surface. This detailed, machine-readable information is then compiled into an AGENTS.md file, serving as a comprehensive README for AI agents.

Question 5

What is Agents MD Generator?

Accepted Answer

Agents MD Generator is a tool that automates the creation of AGENTS.md files. It analyzes your codebase using Tree-sitter to extract structured project context, which is then used by AI clients like Claude Code, Gemini CLI, and Cursor to understand your project better.

Agents MD Generator

Agents MD Generator

Key Features

Use Cases

Key Features

Use Cases