Open-Sourcing Adaptive Workflows for AI-Driven Development Life Cycle (AI-DLC)

This article announces the open-sourcing of Adaptive Workflows for AI-Driven Development Life Cycle (AI-DLC), addressing key challenges in AI-assisted software development.

• AI-DLC solves rigid one-size-fits-all workflows by intelligently adapting stages based on project context
• Enables flexible depth modulation within each workflow stage to avoid over-engineering
• Embeds human oversight through collaborative rituals like Mob Elaboration and Mob Construction
• Implements AI-DLC principles via Amazon Q Developer Rules and Kiro Steering Files
• Workflow scaffolds enable adaptive decision-making, transparent checkpoints, and end-to-end traceability
• Open-source implementation available on GitHub for real-world testing and community contribution

AI-DLC transforms AI from passive assistant to adaptive decision engine, maintaining human judgment while accelerating software delivery across projects of any scale.