Generating code is the easy part -- understanding it is hard. As AI accelerates development, it also accelerates complexity, making it hard for humans to keep up. The result? A growing mass of hard-to-maintain legacy code that no one truly understands. (But hey, at least it was fast to get there.)

This talk explores how to reap the benefits of AI without drowning in technical debt. We'll cover the latest AI research together with strategies to enforce human readable code such as automated reviews and the concept of AI safeguards in Visual Studio. All techniques will be demonstrated on real-world codebases, and you'll walk away with actionable techniques to prevent AI from becoming tomorrow's source of legacy code.

You will learn:

• How AI coding tools can introduce technical debt at scale
• What "AI safeguards" are and how to use them in Visual Studio
• Practical techniques to enforce human-readable, maintainable code