What does a modern developer’s day actually look like in the age of AI?

In this session, we’ll walk through a real-world, end-to-end developer workflow powered by GitHub Enterprise, agentic DevOps practices, and the AI capabilities of Microsoft Azure. From the first idea to production deployment, you’ll see how AI is no longer just an assistant—but an active participant across the entire software development lifecycle.

We’ll explore how developers use AI to plan features, generate and review code, create tests, and manage pull requests—while intelligent agents help enforce standards, surface risks, and keep delivery flowing. This isn’t just about productivity—it’s about fundamentally changing how software gets built.

You’ll also see how Azure AI Foundry enables teams to design, customize, and operationalize AI agents and models within their workflows—connecting code, data, and infrastructure into a cohesive, intelligent system.

Expect a practical, scenario-driven walkthrough covering:

- A “day in the life” of an AI-augmented developer
- Agentic DevOps patterns across planning, coding, testing, and deployment
- How GitHub Enterprise enables scalable, secure collaboration
- Leveraging Azure for infrastructure, pipelines, and AI-powered insights
- Building and integrating custom AI agents with Azure AI Foundry

Whether you’re a developer, architect, or engineering leader, you’ll leave with concrete ideas on how to work smarter, ship faster, and design a truly intelligent software delivery lifecycle.