superpowers

Test-driven development workflow automation enforces a strict "no failing test, no production code" policy. It breaks complex tasks into atomic steps, ensuring features are developed systematically with verifiable results rather than ad-hoc responses.

Systematic task decomposition is the process of breaking complex requests into manageable, atomic steps. It provides structured workflows for planning and execution, ensuring development tasks are handled with rigor and complexity reduction.

To implement a feature using a TDD workflow with AI, request the task and the framework will generate a design spec, create an implementation plan with TDD steps, and execute development following rigorous procedures.

Systematic development is not designed for simple single-step queries. It is built for complex tasks like feature creation, deep analysis, solution design, planning, and multi-step execution that require structured workflows.

The best way to design an authentication module systematically is to use a framework that generates a design spec first, then creates an implementation plan with TDD steps, and finally executes the development following rigorous procedures.

Task decomposition over ad-hoc AI responses ensures complex tasks are handled with rigor, efficiency, and verifiable results. It enforces principles like evidence over claims and efficiency first, transforming AI into a systematic problem-solving partner.