AI-DLC is an open-source workflow framework from AWS Labs designed to structure software development around AI-assisted engineering processes. The project promotes an “AI-Driven Life Cycle” methodology where coding assistants, IDE agents, and automation systems participate directly in planning, implementation, testing, and operational workflows. Rather than focusing on a single model or IDE, the framework provides reusable rules, templates, and orchestration patterns compatible with tools such as Amazon Q Developer, Claude Code, Cursor, GitHub Copilot, and Cline. The repository emphasizes reproducible development processes, workflow portability, and AI-guided engineering discipline across different environments. It also explores specification-driven development and layered workflow architectures that standardize how AI systems interact with software projects.

Features

  • AI-assisted software development workflows
  • Support for multiple coding assistant platforms
  • Reusable engineering rules and templates
  • Specification-driven development methodologies
  • Workflow portability across IDE ecosystems
  • Structured AI-native development lifecycle design

Project Samples

Project Activity

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License

MIT License

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Artificial Intelligence Software

Registered

1 day ago