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:
- Read
AGENTS.mdfor project constraints and routing. - Read current feature docs in
specs/<feature>/(spec.md+tasks.mdminimum). - Load only relevant skills from
.agents/skills/. - Pull targeted reference docs from
docs/when implementation needs them. - 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¶
Then tell your AI assistant:
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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