MIT PhD student says recursive language models could reshape coding-agent design

ctjlewis · x · 2026-07-21

An interview with MIT PhD student Alex Zhang argues that Recursive Language Models (RLMs) could reshape how coding agents are built. Key points: - The core idea is to wrap a language model in a "harness" — a program around the model that adds tools and structure. - Systems like Claude Code are described as examples of harnesses that let LLMs do things they are otherwise bad at. - RLMs are presented as one specific harness design that may improve coding-agent workflows by leveraging what already works, especially tool use.

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