With OpenAI joining Anthropic in supporting the Model Context Protocol (MCP), we're witnessing a unified standard for language models to interact with external systems. This creates exciting opportunities for multi-LLM architectures where specialized AI applications work in parallel—discovering tools, handing off tasks, and accessing powerful capabilities through standardized interfaces.
We're excited to announce that Instructor now implements the llms.txt specification! You can now find our llms.txt file at python.useinstructor.com/llms.txt. This adoption marks an important step in making our documentation more accessible to AI language models.
AI-assisted coding is changing how we use version control. Many developers now use what I call "vibe coding" — coding with AI help. This creates new challenges with Git. Today I'll share how we're using Cursor rules in Instructor to solve these problems.