Finally! A Standard for AI Coding Agents (Agents.md Explained)


Summary

The video explains the challenges with rule formats for coding agents and introduces a potential solution - MD formats for defining coding agents, using examples like agents.md. It details the benefits of using agents.md, which provides a quick start guide, coding formats, and instructions for agents, handling conflicting instructions and updated files. The video also covers the process of coding agents executing instructions, living documents concept, and tools like OpenAI, AMP code, Cursor, Factory AI, and Gemini CLI for open-source projects.


Introduction to Coding Agents

Explanation of the current challenges with rule formats for coding agents and the introduction of a potential solution.

Standards for Coding Agents

Discussion on the announcement of MD formats for defining coding agents, its benefits, and examples of existing formats like agents.md.

Guiding Coding Agents

Details on the agents.md file providing a quick start guide, project context, coding formats, security concerns, and instructions for agents.

Setting Up Projects

Instructions on setting up projects using agents.md, installing requirements, and structuring the project with nested files.

Handling Instructions Conflicts

Explanation of how conflicting instructions are managed in agents.md files and the precedence given to updated files.

Execution of Relevant Instructions

The process of coding agents executing relevant instructions before completing tasks and living documents concept.

Renaming and Updating Instruction Files

Guidelines on renaming and updating instruction files for coding agents like agents.md with new instructions.

Discussion on Coding Agent Tools

Overview of different coding agent tools like OpenAI, AMP code, Cursor, Factory AI, and Gemini CLI, including their potential in open-source projects.

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