AI copilots are powerful—but not perfect. When used improperly, they can create bugs, hallucinate functions, or slow your team down. But when used effectively? They can boost productivity, speed up prototyping, and help teams deliver cleaner, more maintainable code.
In this hands-on virtual workshop, Dipo Fasoro, a former Amazon engineer and AI coding copilot specialist, will guide developers through the fundamental principles of human-in-the-loop coding with AI copilots, featuring a live demonstration of his workflow and core concepts in computer programming that affect AI coding accuracy.
You’ll learn:
How to prompt copilots for accurate, testable code
How to spot and fix common AI mistakes in your workflow
When and how to trust your instincts over the AI
How to build safeguards to catch silent AI errors
How to manage Context collapse, Instruction drift, and Semantic compression artifacts
Who Should Attend:
- Developers, software engineers, and tech leads
- CTOs and technical startup teams exploring AI-assisted development
- Anyone who’s used GitHub Copilot or similar tools and thought:
“Wait… that’s not what I meant.”
