Software delivery is entering its next phase—one where the SDLC doesn’t just execute, it collaborates.

Agentic SDLC brings AI out of the sidelines and embeds it across every phase of the lifecycle—from planning and coding to testing, deployment, and operations. These aren’t passive tools waiting for prompts—they’re proactive teammates that anticipate needs, automate repetitive work, surface risks early, and keep delivery flowing.

In this session, we’ll explore how intelligent agents are reshaping the entire SDLC. Think beyond code completion: agents that refine backlog items, generate and review pull requests, create meaningful tests, enforce standards, flag risks before they become incidents, and even monitor production with context.

We’ll walk through real-world scenarios and practical implementations showing how teams are using agentic approaches to boost productivity, improve code quality, and accelerate delivery—without sacrificing control or flexibility.

You’ll also see how this can be done across a diverse ecosystem of tools and platforms—cloud or on-prem, open-source or commercial—so you can adopt what works best for your environment.

Whether you’re a developer, tester, architect, or team lead, you’ll leave with concrete patterns and ideas to evolve your SDLC into a smarter, more adaptive system—where AI doesn’t replace the team, but makes every part of it stronger.