Look Boss no hands - Building an entire app with AI

The way we build software is changing—fast. With tools like GitHub Copilot and other AI assistants, entire application components can be generated in minutes instead of days. But how far can we really push it? In this live, end-to-end demo, we’ll go from a blank repository to a working, deployed application—letting AI do as much of the heavy lifting as possible. Along the way, we’ll explore practical workflows, common pitfalls, and techniques for guiding AI toward maintainable, production-quality code. Whether you’re curious, skeptical, or already experimenting with AI-assisted development, you’ll walk away with a realistic understanding of what today’s AI tools can (and can’t) do—and how to integrate them into your own development process.

Key takeaways:

How to structure prompts to get useful, production-ready output

Where AI accelerates development—and where human intervention is essential

Lessons learned from building an app “hands-off” with AI

A blueprint for combining AI assistance with traditional dev best practices

Leading Through Chaos

In the fast-paced world of technology, change is constant and uncertainty is inevitable. Whether it’s shifting priorities, sudden market changes, or critical production issues, the ability to lead effectively in chaotic situations can make or break a team’s success. In this session, we’ll explore proven strategies for navigating disruption with confidence and clarity. Drawing on real-world leadership experiences, we’ll discuss how to keep your team focused, maintain morale, and make sound decisions under pressure—all while building a culture that thrives on adaptability.

Key takeaways:

How to provide stability and direction during times of rapid change

Communication techniques that cut through noise and uncertainty

Balancing urgency with thoughtful decision-making

Turning high-pressure situations into opportunities for growth and innovation

Blazing Trails with MudBlazor

Blazor makes it possible to build rich, interactive web applications entirely in .NET—but when you pair it with MudBlazor, things really start to shine. MudBlazor is a modern, Material Design component library that lets you deliver sleek, responsive UIs without wrestling with CSS frameworks. In this session, we’ll explore how to harness MudBlazor to build polished, user-friendly applications faster. You’ll see real-world examples of creating forms, data grids, dialogs, and dashboards, plus tips for customizing themes and ensuring your apps look great on any device. Whether you’re just getting started with Blazor or looking to level up your UI game, you’ll leave ready to blaze your own trail with MudBlazor.

Key takeaways:

The fundamentals of MudBlazor and how it fits into the Blazor ecosystem

Building responsive, accessible, and attractive UI components

Styling, theming, and customization tips to match your brand

Practical patterns for integrating MudBlazor into real-world apps

On Prem Optimization and Moving To The Cloud

The journey to the cloud isn’t just about migration—it’s about transformation. Before you move workloads off-premises, optimizing your existing infrastructure can deliver immediate performance gains, reduce costs, and make your eventual cloud transition smoother and faster. In this session, we’ll explore a practical, step-by-step approach to assessing your current environment, identifying optimization opportunities, and building a migration plan that avoids costly pitfalls. You’ll learn how to balance the realities of legacy systems with the flexibility of modern cloud platforms, ensuring your move isn’t just a lift-and-shift, but a real leap forward.

Key takeaways:

Techniques for auditing and optimizing on-prem infrastructure before migration

Strategies to reduce technical debt and complexity ahead of the move

Choosing the right migration model: lift-and-shift, re-platform, or re-architect

How to plan for performance, security, and cost management in the cloud

The Rise of the A.I. Developer

Artificial Intelligence is reshaping how developers approach software development. This session dives into the practical applications of AI tools in modern coding workflows—from code generation and debugging to automated documentation and testing. We’ll examine real-world use cases, discuss best practices, and explore how to strike the right balance between human creativity and machine efficiency. Whether you’re looking to boost productivity, streamline development, or simply stay ahead of the curve, this talk will provide actionable insights into the evolving role of AI in coding.

In this session we'll walk through a real world example for using A.I..

Raising Your Software's Quality : A Journey with Docker, Postman, and DevOps

How many times have you deployed something to production thinking, “This code is perfect—what could possibly go wrong?” Then, the next morning, your leadership is swarming around your desk because production is down? Or maybe a client hands you their code and expects it to “just work” without a proper lower environment?

Production issues happen to all of us—and to me, more times than I’d like to admit. The key to avoiding them starts long before deployment. Quality begins in a developer’s local environment.

In this session, we’ll explore how tools like Docker, Postman, and Azure DevOps can raise the quality of your software from the very first line of code. You’ll learn how to use these tools to improve testing, streamline workflows, and increase both your team’s confidence and leadership’s trust when it’s time to push to production.

Key takeaways:

How Docker can make local environments more reliable and production-like

Using Postman to ensure APIs behave before they go live

Leveraging Azure DevOps for automated testing, CI/CD, and quality gates

Practical strategies to reduce “surprise” production issues

Launch, Grow, Repeat: Mastering the SaaS Success Cycle

Software as a Service (SaaS) has transformed how organizations deliver value, scale globally, and maintain agility in a fast-changing market. In this session, we’ll walk through the full SaaS lifecycle — from validating an idea, designing for multi-tenancy, and selecting the right cloud architecture, to building recurring revenue models and delivering secure, reliable services at scale. We’ll explore real-world lessons on pricing strategies, customer onboarding, service monitoring, and continuous improvement. Whether you’re an architect, developer, or product leader, you’ll leave with practical strategies to bring your SaaS vision to life and keep it thriving.