The Constraint Paradox: Why Less AI Freedom Produces Better Code

The content argues that imposing constraints on AI agents, rather than granting them more freedom or upgrading models, leads to significantly better performance and reliability. This is evidenced by LangChain's improved scores on Terminal Bench 2.0 when its agent was constrained.