AI-DLC Reframes Software Development by Shifting Execution to AI, Not the Process

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A developer has detailed how the AI-Driven Development Life Cycle (AI-DLC), originally developed by AWS, differs from the traditional Software Development Life Cycle (SDLC). Rather than replacing the SDLC, AI-DLC reassigns task execution from humans to AI agents while keeping humans responsible for approving each stage before work progresses. The framework follows the same linear phases — inception, construction, and operations — across sixteen stages that mirror classic SDLC activities such as requirements gathering, design, coding, testing, and deployment. Human approval is enforced at the architecture level, with stage transitions locked behind explicit sign-offs and conflict prevention built into the system. All outputs are automatically documented in Markdown and tracked in an audit log, replicating the paper trail traditionally maintained by project managers.

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