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ai-dlc-fundamentals

Official

Master AI-DLC fundamentals.

Software Engineering#iteration#backpressure#state-persistence#ai-dlc#context-reset#hat-based
AuthorTheBushidoCollective
Version1.0.0
Installs0

System Documentation

What problem does it solve?

AI-DLC fundamentals help teams understand and apply the core principles of AI-DLC to structure iterative, hat-based work with clear state persistence and context resets.

Core Features & Use Cases

  • Backpressure-driven iteration guides progress by blocking until criteria are met.
  • Files-as-memory and explicit state files (intent.md, completion-criteria.md, scratchpad.md, blockers.md, iteration.json) preserve learnings across sessions.
  • Hat-based workflows organize work into Elaborator, Planner, Builder, and Reviewer with defined transitions.
  • Use cases include onboarding a new AI-assisted project, enforcing repeatable cycles, and teaching teams how to operate under different modes (HITL, OHOTL, AHOTL).

Quick Start

Outline a simple 3-iteration plan using context resets and persistent state.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: ai-dlc-fundamentals
Download link: https://github.com/TheBushidoCollective/ai-dlc/archive/main.zip#ai-dlc-fundamentals

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