What is Stream Coding?

Stream Coding is a documentation-first methodology that treats documentation as the primary engineering work and code as the 'printout,' enabling 10-20x velocity by providing AI with perfect specifications.

How does the Clarity Gate work?

The Clarity Gate is a 13-item scoring rubric used to audit documentation for actionability, lack of ambiguity, and single-source truth before any code generation begins.

What are the four mandatory sections in Stream Coding?

Every implementation document must include an Anti-Patterns section, Test Case Specifications, an Error Handling Matrix, and Deep Links to related references.

Why spend 80% of time on documentation?

AI excels at execution but fails when forced to guess. Investing 80% of the time in documentation ensures the AI's first pass matches the developer's intent, reducing rework to near zero.

Stream Coding

Name: Stream Coding
Author: frmoretto

byfrmoretto

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Productivity & Workflow

Implements a documentation-first development methodology that transforms requirements into AI-ready specifications for 10-20x velocity.

About

Stream Coding is a rigorous framework designed to eliminate 'vibe coding'—the cycle of vague prompts and endless AI revisions. By shifting 80% of the development effort to high-clarity documentation and strategic thinking, this skill ensures that AI tools have zero ambiguity when generating code. It utilizes a mandatory 13-item Clarity Gate, specialized document architectures (Strategic, Implementation, Reference), and standardized sections for anti-patterns and error handling to ensure code is right the first time.

Key Features

36 GitHub stars
Documentation-first development lifecycle
Structured 4-phase development methodology (40/40/15/5)
Standardized templates for Anti-patterns and Error Matrices
13-item Clarity Gate for specification validation
Document Architecture for single-source-of-truth management

Use Cases

Eliminating rework cycles in AI-assisted development
Transitioning legacy documentation into actionable technical blueprints
Scaling engineering team output via standardized AI-ready specs

About

Key Features

36 GitHub stars
Documentation-first development lifecycle
Structured 4-phase development methodology (40/40/15/5)
Standardized templates for Anti-patterns and Error Matrices
13-item Clarity Gate for specification validation
Document Architecture for single-source-of-truth management

Use Cases

Eliminating rework cycles in AI-assisted development
Transitioning legacy documentation into actionable technical blueprints
Scaling engineering team output via standardized AI-ready specs