For the past year, Boris Cherny, creator of Claude Code, hasn't written a single line of code himself. He manages hundreds, even thousands, of AI agents that run day and night, autonomously handling tasks from writing and submitting code to fixing CI tests and gathering user feedback. His secret lies in a "loop" system, where tasks are defined and set to run repeatedly, combined with a critical "/goal" command that provides a clear, verifiable objective and a "supervisor" model to check progress. This approach transforms the programmer's role from a coder to a system designer and reviewer. At Anthropic, AI agents even collaborate in Slack channels to divide work. The recently released Fable 5 model is built for such long-term autonomous operation, featuring self-verification and the ability to understand complex charts. Effective use requires the "/goal" command for targeted tasks and "/loop" for recurring ones. To maximize efficiency, a local context system can be set up in 20 minutes, providing the AI with persistent memory of your projects, preferences, and procedures. The key takeaway is that the future lies not in prompting AI for each step, but in building autonomous systems driven by clear, verifiable goals.
marsbit2天前




