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aidd-methodology

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AI-driven development guidance for LLM projects.

Software Engineering#architecture#documentation#adr#design-brief#context-first#llm-agent#aidd
AuthorBbar0n234
Version1.0.0
Installs0

System Documentation

What problem does it solve?

The AIDD methodology helps teams write architecture, contract, and project documentation for AI-driven projects with LLM agents, ensuring context-first planning before coding.

Core Features & Use Cases

  • Context-first documentation strategy that anchors architecture, contracts, and limitations.
  • ADRs, design briefs, and implementation planning to guide agent-driven development.
  • Clear delineation of roles: developers (architects) versus LLM agents, with architect review before implementation.
  • Use Cases: planning complex multi-service projects, cross-team documentation updates, and iteration planning for agent-based workflows.

Quick Start

Coordinate architecture, contracts and context-first requirements before starting code, then empower an LLM agent to implement with oversight from the architect.

Dependency Matrix

Required Modules

None required

Components

references

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Name: aidd-methodology
Download link: https://github.com/Bbar0n234/learnflow-ai/archive/main.zip#aidd-methodology

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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