Open-Sourcing Adaptive Workflows for AI-Driven Development Life Cycle (AI-DLC)
DevOps & Developer Productivity Blog
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.
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