Show RLM Analyzer–AI code analysis using recursive LLMs(MIT CSAIL research) (npmjs.com)

MIT's CSAIL has unveiled the RLM Analyzer, an AI-powered tool for comprehensive code analysis that leverages Recursive Language Models (RLMs). This breakthrough allows for the examination of codebases significantly larger than conventional limits—up to 100 times more—by utilizing the Gemini 3 model. The Analyzer provides deep insights into code structures, identifies security vulnerabilities (including those in the OWASP Top 10), optimizes performance by detecting bottlenecks, and offers refactoring suggestions. Furthermore, developers can directly inquire about their code through custom questions and integrate seamlessly with AI tools like Claude Code and Cursor. This innovation is particularly significant for the AI/ML community as it significantly reduces costs—up to 73%—by reallocating heavy processing tasks to the more cost-effective Gemini API. The efficient design involves advanced techniques such as token optimization and context compression, making it not only performant but also budget-friendly. By harnessing RLMs, the Analyzer achieves enhanced analysis depth and precision, enabling developers to manage their codebases more effectively while driving productivity.