Coding agents that plan before writing improve on complex tasks

A new approach has agents think through problems step-by-step before generating code, improving performance on harder programming tasks. For indie developers building with AI, this suggests that prompting agents to reason first—rather than jumping straight to output—could yield more reliable code generation, especially for non-trivial problems.