For decades, software teams have followed a familiar path: requirements, design, development, testing, deployment, and operations. That model worked when writing code was the primary constraint. Today, AI has fundamentally changed the equation.

Modern AI tools can generate prototypes from natural language, create production-ready code, write tests, produce documentation, and even deploy infrastructure in a fraction of the time previously required. Activities that once existed as distinct phases in the Software Development Lifecycle (SDLC) are rapidly collapsing into a continuous process of generation and refinement.

This talk explores how AI is disrupting traditional software delivery models and why organizations must rethink the way they build products. Rather than optimizing for code production, teams must now focus on understanding customer problems, providing context to AI systems, validating outcomes, and governing increasingly autonomous development workflows.

Perfect for engineers, architects, managers, and technology leaders navigating the AI era.