A Real Agent Engineering Practice: From PRD to Goal to After-Goal, AI-Led Full-Stack Development
This article documents a complete R&D process led by AI agents, from PRD writing and goal setting to post-goal evaluation, demonstrating AI's autonomous decision-making and execution capabilities in engineering practice.
Using a real agent engineering practice as an example, the article details the entire process from PRD (Product Requirements Document) to goal setting and post-goal evaluation. The AI agent not only participated in code writing but also led requirements analysis, architecture design, testing, and verification. The author shares challenges encountered during the practice, such as task decomposition, context management, and error recovery, along with corresponding solutions. Ultimately, the AI successfully completed the closed loop from requirements to delivery, demonstrating the potential of agents in complex engineering tasks.## Original Source