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  • Create structured documentation covering entire codebase

  • Add 7 markdown files with detailed explanations:

    • README.md: Documentation index and quick start
    • 01-project-overview.md: Project purpose and features
    • 02-technology-stack.md: Technologies and dependencies
    • 03-directory-structure.md: Project structure (13KB)
    • 04-architecture.md: System architecture and design patterns
    • 05-key-components.md: Component details (CLI, Core, VS Code)
    • 06-development-guide.md: Development setup and workflows
  • Documentation is in Korean for better accessibility

  • Includes architecture diagrams, code examples, and best practices

  • Total ~70KB of comprehensive technical documentation

TLDR

Dive Deeper

Reviewer Test Plan

Testing Matrix

🍏 🪟 🐧
npm run
npx
Docker
Podman - -
Seatbelt - -

Linked issues / bugs

- Create structured documentation covering entire codebase
- Add 7 markdown files with detailed explanations:
  - README.md: Documentation index and quick start
  - 01-project-overview.md: Project purpose and features
  - 02-technology-stack.md: Technologies and dependencies
  - 03-directory-structure.md: Project structure (13KB)
  - 04-architecture.md: System architecture and design patterns
  - 05-key-components.md: Component details (CLI, Core, VS Code)
  - 06-development-guide.md: Development setup and workflows

- Documentation is in Korean for better accessibility
- Includes architecture diagrams, code examples, and best practices
- Total ~70KB of comprehensive technical documentation
- Create detailed prompt documentation covering entire prompt system
- Add 6 markdown files with in-depth analysis:
  - README.md: Prompt system overview and architecture
  - 01-core-system-prompts.md: Main agent system prompts
  - 02-subagent-prompts.md: Subagent system and generator
  - 03-tool-prompts.md: Tool description prompts
  - 04-specialized-prompts.md: LLM Edit Fixer, Loop Detection, etc
  - 05-prompt-template-system.md: Template engine and dynamic generation

- Document all prompt types:
  - System prompts (core agent behavior)
  - Subagent prompts (specialized agents)
  - Tool prompts (function calling)
  - Specialized prompts (edit fixing, loop detection, summarization)

- Include detailed analysis of:
  - Prompt loading mechanisms (environment variables, file paths)
  - Template variable substitution
  - Dynamic prompt generation
  - Model-specific optimizations
  - Caching strategies

- Provide code examples and usage patterns
- Total ~30KB of comprehensive prompt documentation
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2 participants