llm/065c6e83-d0d5-4aca-be3d-92768a8a3506/topic-6-9d11659c-03a8-4e79-9549-20fce998d677-output.json
Experienced developers are increasingly abandoning naive prompting in favor of a disciplined "design-plan-execute" architecture, where AI is strictly prohibited from coding until a detailed, human-vetted plan is established. This methodology utilizes a "working memory" of modular Markdown files—such as specs, status logs, and architecture blueprints—to act as a lean proxy for the codebase, allowing users to bypass performance degradation by frequently resetting the context window. While some critics argue that this manual overhead is a "token-burning" necessity born of current technical limitations, proponents maintain that such structured workflows and "planner skills" are the only reliable way to scale AI development to complex, professional-grade software without succumbing to context rot.