You think your code is fast? Prove it.

Modern .NET developers have more tools than ever—but too many are still guessing when it comes to performance. The result? Slower applications, higher cloud costs, and problems that don’t show up until production.

And here’s the kicker: even AI tools like GitHub Copilot can generate code that compiles, works… and performs terribly. If you’re not measuring it, you’re trusting it—and that’s a risk.

In this session, veteran engineer and author David McCarter (dotNetDave) shows how to cut through the noise and make performance a data-driven discipline. Using BenchmarkDotNet and the DotNetTips.Spargine.Benchmarking library, you’ll learn how to measure execution time, memory allocation, and scalability the right way.

Through live demos and real-world examples, you’ll see just how wrong “common knowledge” about .NET performance can be. You’ll learn how to build benchmarks you can trust, avoid traps like JIT optimizations and setup bias, and turn raw numbers into decisions that matter.

Stop guessing. Stop trusting assumptions.

Measure it. Prove it. Ship code that performs.

Attendees will learn:
• How to build accurate, repeatable benchmarks using BenchmarkDotNet
• How to eliminate measurement noise and avoid misleading results
• How to compare multiple implementations and identify the fastest approach
• How to measure memory allocation and understand its impact on performance
• How to apply benchmarking in real-world, cloud-based scenarios
• How to integrate benchmarking into the development lifecycle before release

Don’t miss this high-energy session where you’ll learn to rock your code—and prove it performs like a pro.