AI-DLC: Giving Structure to AI-Assisted Development

Short summary

AWS's AI-DLC brings structured methodology to AI-assisted development, organizing work into Inception (what/why), Construction (how), and Operations (deployment) phases. Unlike traditional SDLC for humans, AI-DLC inverts roles: agents analyze and implement, humans maintain decision authority at explicit checkpoints. It scales process effort to task complexity, keeping humans in control of fast-moving AI.

• •AWS's open-source AI-DLC methodology structures AI coding agent workflows into three adaptive phases: Inception (requirements), Construction (implementation), Operations (deployment)
• •Inverts traditional SDLC by having AI agents handle analysis and code generation while humans approve every critical decision
• •Scales process overhead to task complexity — trivial changes stay lightweight while complex features get full requirements and design review

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