Recursive Language Models (RLMs) represent a powerful new paradigm of inference-time compute. We discuss many different ways to apply the principles of RLMs to coding agents, towards higher performance and reliability. We briefly define RLMs, showcase many of their performance advantages, then share how the RLM paradigm can be mapped onto coding agents. We strive to settle the long-standing debate, "Isn't Claude Code with sub-agents a RLM?" Finally, we showcase how both Claude Code Dynamic Workflows and OpenProse can specifically guide coding agents to recursively solve complex tasks with declarable outcomes. The "slides" for this presentation are available as an interactive website at https://recursivecodingagents.com and a companion repo with specific code examples is available at https://github.com/rawwerks/recursive-coding-agents Speakers: - Raymond Weitekamp (OpenProse): Dr. Raymond Weitekamp is a PhD chemist, serial entrepreneur, artist, independent researcher, and AI Engineer at OpenProse. X/Twitter: https://x.com/raw_works LinkedIn: https://www.linkedin.com/in/raymondweitekamp/ GitHub: https://github.com/rawwerks