Agentic SDLC — A Practical Approach

The Software Development Life Cycle is being rewritten — by AI agents.

From requirements gathering to deployment, AI agents are now capable of participating in every phase of the SDLC. But how does this actually work in practice? What changes, what stays the same, and where do humans still add the most value?

In this session, you'll learn:
- How AI agents fit into each phase of the SDLC (requirements, design, dev, test, deploy)
- Practical examples of agentic workflows in real projects
- The new role of developers, testers, and PMs in an agentic SDLC
- Common pitfalls and how to avoid them

Ideal for developers, QA engineers, PMs, and tech leads who want to understand what's coming — and how to stay ahead.

🎤 Led by a Microsoft Certified Trainer.