Vercel explored how AI coding agents can access up-to-date framework knowledge effectively. They found that traditional methods quickly lead to outdated coding practices, particularly with frameworks like Next.js. Testing two approaches, they compared a Skill system, which allows agents to retrieve documentation, and AGENTS.md, a simplified Markdown file for persistent context. Surprisingly, AGENTS.md achieved a perfect 100% success rate, while the Skill system only reached 79%, as agents often ignored the skills. Embedding documentation directly into AGENTS.md eliminates decision points and ensures consistent availability in every interaction, outperforming on-demand retrieval methods. Vercel emphasizes the potential of the Skill system for specific workflows but advocates for AGENTS.md for general framework knowledge. This file is fostering a broader industry standard, with significant adoption among open-source projects and support from major AI players, enhancing the collaborative development of coding AI agents.
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