Reading Group (+🧋): Code Synthesis for Agentic Decision-Making: Code World Models and Autoharness

**Reading Group (+🧋): Code Synthesis for Agentic Decision-Making** We're digging into two papers on how agents use code generation to reason and act: Code World Models (learning environment dynamics through executable code) and Autoharness (automated benchmark creation for LLM evaluation). Come ready to discuss how code-as-reasoning changes agent architectures, plus the practical challenges of benchmarking these systems. Bubble tea provided.