Stream Coding

About

Stream Coding shifts the developer's focus from writing code to crafting hyper-clear documentation, treating code as a secondary 'printout' of well-defined specs. By enforcing a rigorous 13-item Clarity Gate and specific document architectures—categorized into Strategic, Implementation, and Reference types—this skill eliminates AI ambiguity and the resulting 'vibe coding' rework cycles. It is ideal for developers using AI assistants like Claude, Cursor, or Windsurf who want to achieve professional-grade output with minimal revision by ensuring the AI never has to guess intent.

Key Features

• Mandatory Anti-Patterns and Error Handling matrix templates
• Documentation Audit framework to prune 'aspirational' fluff and cruft
• 13-item Clarity Gate scoring rubric to audit documentation quality
• 36 GitHub stars
• AI-ready test case specification standards for zero-guess execution
• Tiered document architecture (Strategic vs. Implementation vs. Reference)

Use Cases

• Cleaning up legacy documentation to make existing codebases AI-ready
• Scaling AI-accelerated development without increasing technical debt or rework cycles
• Standardizing team-wide technical specifications for consistent AI code generation