Agentic Engineering: Software Engineering with and for AI Agents
In one of my earlier posts I wrote about the developments in software engineering in the age of AI, GenAI and LLMs. I identified that AI agents are the next step in LLM systems. But developments are going real fast. Next to new engineering practices for agent-based...
My Exchange Semester in South Korea: From “안녕하세요” to Lifelong Memories
Introduction February 2025. One suitcase, a layover in China, and absolutely no idea what to expect. Standing at the departure gate, I felt a mix of excitement and nerves that I had never quite felt before. I was about to leave behind everything familiar and step into...
Competences for the AI-Augmented Software Engineer
In a previous post I gave a software engineering perspective on the most recent developments in AI. The post listed different technological developments we need to consider when trying to predict the future of software engineering: the advancement of AI from Machine...
De AI‑race raast door – Wordt Fontys toeschouwer of speler?
AI-race versnelt: Claude-features doen aandelen kelderen en Musk koopt Grok-bedrijf.
Hoe verweven docenten en studenten deze banen- en ethiekvraagstukken in hun opleiding?
Navigeren in Complexiteit
GUIDE en de Ripple-map als kompas voor inclusieve besluitvorming Abstract Professionals opereren steeds vaker in contexten die worden gekenmerkt door complexiteit, onzekerheid en meervoudige perspectieven. Dergelijke vraagstukken zijn te typeren als ‘wicked problems’,...
Software Engineering in the AI Era: from ML to LLMs and Agentic AI
I started my research on “How to build production-ready machine learning (ML) systems” in 2019. In my first blogpost I analysed how this is different from “building production-ready software systems”. I followed that up with more blogs on testing ML applications, a...