RLM: Recursive Language Models for Large Codebases - Shashi, Superagentic AI

Summary

This talk explores Recursive Language Models (RLMs) as a solution for efficiently processing large codebases, a challenge for current coding agents. The core idea is to externalize context management into a programmable execution environment where the model can inspect and extract relevant code segments, overcoming limitations of context windows and traditional search methods. The practical takeaway is that by treating entire repositories as data models can operate on, RLMs enable more effective analysis and manipulation of extensive code.