superpowers: Coding Agent: Starts with Questions Before Writing Code

It prevents coding agents from jumping straight into writing code, starting instead by asking questions to understand the actual intent. Specifications extracted during the conversation are presented in readable units, and once the user approves the design, an implementation plan is established. This plan is written clearly enough for even junior engineers who tend to avoid testing to follow.

Sub-agents execute each task according to the approved plan, applying TDD that enforces the RED-GREEN-REFACTOR cycle. The YAGNI and DRY principles are emphasized, and quality is verified through code reviews between tasks. The agent can work autonomously for hours without deviating from the plan.

It is supported as a plugin in various coding agent environments, including Claude Code, Cursor, Gemini CLI, and GitHub Copilot CLI. Installation procedures are provided for each environment, and it activates automatically at the start of a session, applying the workflow without requiring additional commands. Its universal structure, not limited to a specific agent, allows maintaining the same development process even when switching tools.

This tool goes beyond simple code generation by injecting the entire software development methodology into the agent. It is suitable for developers who want to reduce the unstructured nature of AI coding by automating systematic design, planning, implementation, and verification steps. Developed by the Prime Radiant team, it is maintained alongside the community.