This talk was given at Future Tech 2026.
This session dives into how to turn Copilot into a true end-to-end development partner. We’ll explore advanced context-engineering techniques that teach Copilot your domain, codebase, and intent so it can meaningfully contribute across the entire dev cycle. Through a live, production-focused demo, we’ll create backlog items, design an implementation, write real code, generate tests, review PRs, and produce documentation — all with AI in the loop. You’ll walk away with a clear sense of where Copilot excels, where it breaks down, and how to push it further than most teams do today.
Speakers
Software Engineer at Info Support
Jurre is a Software Engineer at Info Support with a focus on AI augmented software engineering. With a solid foundation in machine learning, he explores how AI can practically assist developers, from improving workflows to supporting decision-making throughout the software lifecycle. Jurre enjoys exploring practical ways to make AI a natural part of everyday development, aiming for tools and techniques that feel intuitive and useful.
Software Engineer at Info Support
Daniël is a software engineer at Info Support, specializing in the Java ecosystem. He has a keen interest in functional programming and is particularly engaged with the emerging field of AI-augmented software engineering. His work is driven by a passion for tackling complex problems and uncovering elegant, maintainable solutions. Daniël is not only energized by solving challenging technical puzzles but also by empowering others to understand and master them. He brings clarity to complexity and thrives in environments where deep thinking and collaborative learning go hand in hand.