AI Subagents: Revolutionizing LLM Context Window Limitations

While exploring best practices for maintaining LLM context windows, the author discovered a revolutionary approach using subagents. By offloading tasks to subagents with their own context windows, overflow of the main context window is avoided, leading to improved efficiency and reliability. This method is analogous to state machines in asynchronous programming, making complex code generation and task handling smoother. The author also shares ideas on using AI to automate "Keep The Lights On" (KTLO) tasks and envisions the future potential of AI in automating software development.