By now, AI is already becoming mainstream in software development (right?), but are we focusing on the right areas? Developers now write code faster than ever with AI-powered tools like Copilot, yet meetings, requirements engineering, and testing remain time-consuming bottlenecks. What if AI could optimize these less exciting aspects of the Software Development Lifecycle (SDLC) instead?

Take a nurse as an example—she wants to spend more time with patients, yet much of her day is spent on administrative tasks behind a computer. Yet we focus on optimizing her time with patients, while we should focus on reducing the digital overhead instead? The same applies to software teams: developers want to build great software, product owners want to shape the vision, and testers want to ensure quality—all without being bogged down by tedious work.

In this session, we’ll explore the AI-augmented SDLC, moving beyond just coding assistance. Together we can rethink AI’s role in software development—not just for making coding faster, but for making all roles more impactful and enjoyable.

You will learn:

• How to identify AI Opportunities Beyond Code Generation
• How to analyze the Impact of AI on Different Roles in Software Development
• How to develop a Strategic Approach for Integrating AI Across the SDLC