openspec-explore

To clarify requirements and explore ideas before writing code, use an AI thinking partner to investigate problems, map codebase architecture, and visualize potential impacts using ASCII diagrams. It grounds discussions in reality by surfacing integration points and risks without generating actual implementation code.

The best way to investigate codebase architecture is by engaging an AI thinking partner that maps integration points and surfaces complexity. It explores the problem space deeply, using adaptive questioning to help you understand architectural implications before committing to specific changes.

To brainstorm approaches and compare tradeoffs, use an exploration tool that sketches options and visualizes them with ASCII diagrams. This helps surface potential risks and complexity, allowing you to evaluate different implementation paths before actual development begins.

Yes, you can use a thinking partner to understand the implications of adding real-time collaboration. It facilitates deep thinking and codebase investigation, helping you explore the problem space, map relevant integration points, and visualize potential impacts before writing any code.

No, this requirements exploration approach does not generate actual code implementations. It acts strictly as a thinking partner to investigate problems, clarify requirements, and compare options, focusing entirely on deep thinking and visual exploration rather than direct code generation.

You need to map architecture and surface complexity during software development when exploring ideas or clarifying requirements before a change. Using an AI partner to investigate the codebase and visualize options helps ground your discussions in reality and identify potential risks early in the process.