停止提示，开始锻造：专业软件开发生命周期的新纪元

Interacting with large language models (LLMs) often leads developers to request complex features, only to receive lengthy and ineffective solutions. The issue lies not in the AI's intelligence but in the limitations of the interaction medium. Traditional prompting has become a form of manual labor that is high-friction and error-prone. By giving AI a 'body'—the ability to read, write, and execute within a local environment—developers can significantly enhance their workflow. The new 'Forging Stack' includes Spec-Forge for automated technical design, Code-Forge for autonomous test-driven development, and Hype-Forge for technical advocacy and content generation, allowing developers to shift from 'I think it works' to 'The terminal says it works.'