The heart of Modern Software Engineering is building and delivering software faster, reducing complexity and risk, all without sacrificing quality—quality of the software AND quality of the experience of everyone involved in building and delivering that software. The list of technical strategies, tools, and leading practices that enable modern software engineering is long and evolving rapidly. This track will help you stay on top of leading practices, tools, and strategies both with and without AI. You’ll see how good practices today will make your future self, team members, stakeholders, even your boss - happy. You’ll see how to build and deploy with modern tooling in Azure DevOps and GitHub, and how to weave AI into your coding and larger engineering practices.
You’ll find coverage of:
- Team Development for the Future with Agentic AI & GitHub
- Branches That Don’t Suck: Smarter Strategies for Modern Dev Teams
- Mocking with Moq: A Quick Guide to Smarter Unit Tests
- Azure DevOps vs. GitHub - Which Do You Choose
- Agentic DevOps with GitHub and Azure DevOps: What Actually Works in 2026
- Too late for TDD? Start Test Eventually Development Now
- Agile-ish: Lightweight Project Management with GitHub Projects
- Opening Up Your App to AI Agents: A Practical Guide to MCP with .NET
- The Irresponsible AI Initiative
- The AI-Powered Software Development Lifecycle
- Maintainable and Scalable Test Automation With Playwright Cloud Services
- Agentic DevOps: How I Use Claude Code and Azure DevOps to Ship Code While I Sleep
- Secure AI Engineering and DevOps for .NET Developers on Azure