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AI Context Docs Lifecycle

Knowledge-first methodology kit for AI-assisted development


What Is This?

AI Context Docs Lifecycle is a knowledge-first methodology kit for AI-assisted development. It gives AI coding assistants structured context and workflows for understanding your project and building features consistently.

Pick the modules you need:

# Module Purpose
1 Foundation AGENTS.md bootstrap + reference doc templates
2 Dev Workflow Feature workflow + stack pattern skills
3 Project Planning Multi-feature management (optional)

The Problem

AI coding assistants have a memory problem:

  • No Memory — Every conversation starts from zero. You explain the same things repeatedly.
  • Generic Code — Without project context, AI generates boilerplate that doesn't fit your style.
  • Contradictory Advice — Unaware of past decisions, AI suggests conflicting patterns.

The Solution

Documentation as AI memory — encode your patterns once, every session follows them.

Without This Kit With This Kit
Re-explain patterns every session AI reads context automatically
Generic suggestions Suggestions match your stack
Conflicting recommendations Decisions preserved in ADRs
No structured workflow Three workflow tracks

AI Agent Workflow (Default)

For feature work, agents should follow this order:

  1. Read AGENTS.md for project constraints and routing.
  2. Read current feature docs in specs/<feature>/ (spec.md + tasks.md minimum).
  3. Load only relevant skills from .agents/skills/.
  4. Pull targeted reference docs from docs/ when implementation needs them.
  5. Implement, then update reference docs and add an ADR for significant decisions.

Quick Start

Solo side project or new to ACDL? Quick Start -> covers the minimum useful setup in three steps.

Fastest Path

npx @acdl/cli init

Then tell your AI assistant:

Bootstrap AGENTS.md for this project.
load skill `acdl`

This installs methodology skills/templates directly into your project. The acdl skill scans your repo, generates AGENTS.md, and creates only the docs/ files your project actually needs. Nothing more.

See Quick Start for the full progressive path, manual setup, and how to add feature workflows when you need them.

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Three Workflow Tracks

Module 2 (Dev Workflow) provides structured workflows based on what you're building:

Quick Flow

For: Bug fixes, typos, config changes

No templates needed. Just fix and commit.

Standard Flow

For: Any feature that is not a bug fix

Feature spec + task tracking.

Complex Flow

For: New systems, external integrations, or research-heavy work

Research, spec, tasks, ADR.


Tool Agnostic

Works with every AI coding agent:

Agent AGENTS.md Skills @docs/ refs
Cursor Auto-reads @skill-name @docs/file.md
Claude Code CLAUDE.md symlink /skill-name Direct read
GitHub Copilot Auto-reads Auto-discovered Direct read
Cline Via .clinerules Auto-discovered Direct read
OpenCode Auto-reads Via skill tool Direct read
Windsurf Auto-reads Via UI Direct read
Aider Via /read Not supported Via /read

Zero tool-specific files required. Optional bridges available (e.g., .mdc rules that point to skills).


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