PUA is an agentic workflow orchestrator and behavioral governance tool designed to enhance the reliability and autonomy of AI coding assistants. It functions as a prompting framework and extension that implements strict engineering standards and verification requirements to prevent hallucinations and premature task completion.
The project distinguishes itself through high-agency enforcement mechanisms, including escalating prompt pressure and failure-driven recovery loops that automatically pivot problem-solving strategies after repeated errors. It utilizes a diagnosis-first workflow that mandates formal evidence and a structured plan before an agent is permitted to modify code or configurations.
The system covers a broad range of capabilities including persona engineering for professional role simulation, multi-role concern separation to eliminate confirmation bias, and the coordination of agent teams. It also provides tools for dependency chain mapping and persistent cross-session learning to prevent the repetition of mistakes.
Specialized AI skill configuration packs can be deployed via directory placement or command-line utilities to extend agent capabilities.
