AI-Driven Development Life Cycle (AI-DLC) Workshop

Learning Outcomes

By the end of this workshop, participants will be able to:

Understand AI-DLC Fundamentals - Explain the core concepts and principles of AI-Driven Lifecycle methodology
Apply Human-Centric AI Collaboration - Implement workflows where AI initiates conversations and humans provide strategic guidance
Design Rapid Development Cycles - Structure development processes for hours/days iteration cycles instead of weeks/months
Integrate AI Planning with Human Decision-Making - Balance AI automation with critical human oversight and approval points
Implement DDD Principles in AI Workflows - Apply Domain-Driven Design techniques within AI-enhanced development processes

Navigate AI-DLC Workflows - Use Kiro CLI to execute complete AI-DLC methodology from inception through operations
Manage AI Conversations - Effectively interact with AI-driven planning sessions, provide approvals, and guide decision-making processes
Leverage Project Rules - Configure and utilize project rules to maintain consistency and enforce development standards
Handle Context Management - Optimize context usage, manage conversation sessions, and troubleshoot common CLI workflow issues
Execute End-to-End Development - Build complete applications using AI-generated code, tests, and deployment configurations through command-line interface

Total Time: 4 hours

This workshop is designed for:

Developers - Looking to integrate AI assistants into their development workflow
Product Owners - Interested in using natural language to accurately address business outcomes, and seeking to accelerate team delivery while maintaining quality
Technical Leaders - Exploring human-AI collaboration strategies for their teams

Prerequisites: