Jurre Brandsen
Software Engineer at Info Support
Software Engineer bij Info Support
Utrecht, The Netherlands
Actions
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.
Jurre is Software Engineer bij Info Support met een focus op AI-geaugmenteerde software-engineering. Met een sterke basis in machine learning onderzoekt hij hoe AI-ontwikkelaars op een praktische manier kan ondersteunen, van het verbeteren van workflows tot het ondersteunen van besluitvorming tijdens de hele softwarelevenscyclus. Jurre vindt het interessant om te ontdekken hoe AI op een natuurlijke manier onderdeel kan worden van dagelijkse ontwikkelpraktijken, met tools en technieken die intuïtief en bruikbaar.
Area of Expertise
Topics
GenAI from the trenches: from legacy to a modern development stack
Transforming legacy code into a modern software stack has always been a complex challenge, but generative AI is redefining how we approach this work. In this talk, we share how we built an AI-powered conversion pipeline to transform a legacy low-code solution into a modern Vue and TypeScript stack, achieving an 85 percent reduction in manual effort and greatly accelerating the modernization process.
Our story focuses on the specific challenges we encountered while building this conversion pipeline and the strategies we used to overcome them. From managing intricate legacy structures to ensuring the correctness of AI-generated code, we’ll walk you through the iterative steps we took to refine and validate our approach. You’ll see how we used GPT-4 to continuously improve prompt precision, and how we leveraged a Human-in-the-Loop framework to keep control over quality and reliability.
This session provides practical, actionable insights into prompt engineering, pipeline design, and effectively integrating generative AI as a development tool. You’ll learn how AI can streamline tedious tasks and tackle complex modernization challenges, yet remains a convenience rather than a replacement for specialized, developer-led work. Our main takeaway is clear: AI is a powerful collaborator that empowers developers to elevate their impact, keeping them firmly in command of the process.
Zero to Production: Rapid Prototyping with AI Tools
This fast-paced, hands-on session demonstrates how modern AI tools can dramatically accelerate the software development lifecycle, enabling practitioners to go from concept to production in record time. We'll explore a curated selection of cutting-edge AI-powered development tools, highlighting their unique strengths and optimal use cases in the prototyping workflow. Through practical demonstration, attendees will witness the creation and deployment of a fully functional application in just 50 minutes. The session showcases how strategic integration of these AI tools can eliminate traditional development bottlenecks, streamline collaboration, and transform the way teams build software. Whether you're a developer, designer, or tech enthusiast, this talk offers actionable insights and a clear roadmap for leveraging AI to turn ideas into working products with unprecedented velocity.
AI at Every Step: Why Are You Still Doing the Dev Cycle by Hand?
Over the past year, many developers have started using AI tools like GitHub Copilot to help them write code. But most are only scratching the surface of what these tools can do. Copilot is more than just pressing TAB to autocomplete snippets. It can support you through the entire development cycle.
In this session, we explore how to use Copilot across the entire Dev cycle. A big part of this is context engineering: teaching the AI about your domain, your codebase, and your goals so its suggestions are more accurate and valuable. We’ll see how Copilot can help with creating backlog items, designing implementation plans, writing real code, generating tests, reviewing pull requests, and producing documentation.
Through a live demo, we’ll show you how to implement a production-ready feature using AI at every stage. You'll learn where GitHub Copilot shines, where it struggles, and how to make most of its capabilities.
If you are already experimenting with AI-Augmented programming and want to unlock its full potential, this talk will give you the insights and techniques you need.
Bitbash 2026 Sessionize Event Upcoming
AI Lowlands 2025 Sessionize Event Upcoming
techcamp 2025 Sessionize Event
Bitbash 2025 Sessionize Event
The Next Web 2024
GenAI from the trenches: from legacy to a modern development stack
AI Community Day Sessionize Event
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top