AI-DLC Workflows

Active
GitHub Python MIT-0

Description

AWS Labs workflow steering rules for AI-Driven Life Cycle development, guiding AI coding agents through adaptive software-delivery processes.

Key Features

  • Three-phase adaptive workflow (Plan → Implement → Validate) for AI-driven development
  • Multi-platform support: Kiro, Amazon Q, Cursor, Cline, Claude Code, GitHub Copilot
  • Steering rules that guide AI coding agents through structured software delivery
  • Detailed rule files conditionally loaded for context-specific guidance
  • Platform-specific setup with copy commands for macOS, Linux, and Windows
  • Extensible architecture with custom rule sets and workflow modifications

Use Cases

💡 Standardizing AI coding agent behavior across a development team
💡 Enforcing quality gates and review checkpoints in AI-assisted development
💡 Onboarding new developers with structured AI-guided workflows
💡 Managing complex software delivery projects with adaptive AI coordination

Tags

coding-agent workflow aws python

Categories

💻 Coding Agent 🔄 Workflow

Quick Start

Download latest release zip from GitHub Releases, extract to ~/Downloads, then copy aidlc-rules/ to your project's platform-specific rules directory (e.g., .cursor/rules/ for Cursor, .kiro/steering/ for Kiro)
Visit GitHub

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