Large codebases break coding agents: they lose the architecture and drown in tool output as context grows. This talk introduces Recursive Language Models (RLM) from a MIT paper a pattern that loads the repo into a programmable REPL where the model writes code to inspect it and recursively delegates focused sub-questions via llm_query. With a live demo on RLM Code (independent, unofficial), you'll see the loop run end to end on local and cloud models, with a fully inspectable trajectory.
Speakers:
- Shashi (Superagentic AI): Building tools and frameworks for AI Agents
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