stream-coding

You generate production-ready code by first translating structured documentation into AI-ready specs and passing a mandatory Clarity Gate. This documentation-first methodology ensures AI coders receive precise specifications before generating the final codebase.

The Clarity Gate is a 13-item scoring rubric with self-assessment to ensure AI-coder understandability. It acts as a mandatory checkpoint before code generation, verifying that your documentation is completely clear for AI execution.

To stop AI code divergence, embed deep-links, anti-patterns, test cases, and error handling directly within your Implementation Docs. This documentation-first approach provides strict boundaries for AI assistants during execution.

Yes, this workflow is tool-agnostic and compatible with Claude, GPT-based assistants, Cursor, and Windsurf. The methodology relies on generating precise documentation that any standard AI coding tool can process.

Founder-scale teams maintain velocity by adopting a four-phase workflow spanning Strategic Thinking, AI-Ready Documentation, Execution, and Quality. This methodology makes documentation the primary artifact to automate production-grade code generation.

You start by entering Phase 1: Strategic Thinking, answering seven foundational questions to create a Strategic Blueprint. You must complete this documentation phase before writing any code to ensure AI readiness.