DevPulse #7 - Agents at Work

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On December 3rd, DevPulse Zwolle takes place! DevPulse Zwolle unites developers and entrepreneurs in the regional tech scene, fostering collaboration, knowledge sharing, and insights from experts driving the future of technology!

We're preparing a tasty and wholesome meal that you're sure to appreciate! 🍱

Ps. We don't like wasting food, so please do not unsubscribe 3 days prior to the meet-up or be a no-show.

🗓 Programma

• 18:00 ⏰ Doors open
• 18:15 👋 Welkom & Dinner!
• 19:00 Jettro Coenradie — From solo agents to AI teams
• 19:45 Michal Wrzosek — Code reviews and agentic workflows
• 20:15 Marin Niehues — Who is Policing the (AI-)Police? Welcome to the Age of Algorithmic Injustice.
• 21:00 🍺 Drinks & Socialising!

19:00 — From solo agents to AI teams
Jettro Coenradie · Principle Consultant | Search and AI expert · Yuma
A capable AI agent can do a lot, but some tasks benefit from a team. As in software engineering, dividing responsibilities is only the beginning: the interesting challenges lie in how the parts communicate, share information, and coordinate their work.
This talk explores how agents work together, introducing collaboration patterns before looking at the engineering behind an agent team. How do you define responsibilities? Which state belongs to each agent? And how do you involve people in the collaboration?
To make these concepts concrete, I’ll introduce akgents, our homegrown agent framework inspired by the Actor Model. Its agents maintain their own state and communicate through messages, providing a foundation for teams whose members can work independently while coordinating toward a shared goal. I’ll explain why we chose this approach and demonstrate it with a team of agents that arranges a meeting, finds a room, and organises lunch and drinks.
You’ll leave with a practical understanding of multi-agent collaboration, the architectural choices involved in building agent teams, and a clearer sense of when those teams are worth the additional complexity.
About Jettro
Jettro is a software architect, search-relevance geek, and AI enthusiast who wants to know what happens beyond the demo. After more than a decade helping customers build better search engines, his curiosity led him through machine learning and Natural Language Processing into the world of AI agents.
Today, he explores how agents can use knowledge, work together, and collaborate with people to get things done. He brings a software engineer’s curiosity—and healthy scepticism—to turning AI possibilities into useful systems.
Jettro loves sharing what he learns, from architectural choices to experiments that didn’t quite go to plan. He lives by Yuma’s mantra: the only thing that grows by sharing is knowledge.
19:45 — Code reviews and agentic workflows
Michal Wrzosek · Product Engineer
Talk description to follow.
About Michal
Michal Wrzosek is a Product Engineer with more than 10 years of experience turning ideas into products. He focuses on AI-native development, agentic workflows and the evolving role of engineering in an AI-driven world.
His work centres on building useful products, solving real problems and using AI agents to move faster. His toolkit includes TypeScript, React, Next.js, Node.js, Python, cloud technologies and Web3.
20:15 — Who is Policing the (AI-)Police? Welcome to the Age of Algorithmic Injustice.
Marin Niehues
Explores how AI systems trained on biased data reproduce discrimination and how to design responsible decision-making across policing, hiring, lending, healthcare, and education.
We're building AI systems that affect millions of people every single day and very few understand what they're actually reproducing.
Think about what we're doing. We train models on massive amounts of internet data shaped by decades of discrimination, inequality and power imbalances. Then we deploy these systems into hiring, lending, policing, healthcare and education.
Would you trust Reddit to raise your child? To decide who gets a job or qualifies for a loan?
Yet systems trained on exactly that kind of data now influence those decisions, because the models learned exactly what we taught it: society's ugliest patterns, now automated at industrial scale.
Neighborhoods shaped by redlining become risk signals. Certain names correlate with rejection. Images default to familiar power structures. The system doesn't ask why, it just optimizes.
A biased recruiter might affect dozens. A biased policeman might affect hundreds. A biased mayor may affect thousands.
A biased algorithm affects millions before anyone notices.
This session is about understanding what we're really building when we automate decision-making. What structural bias looks like and how it enters models long before deployment. Why "the data says so" is never sufficient explanation. And how to design AI systems that don't quietly make societal problems worse.
This talk is about responsibility when your code shapes millions of lives. Join this session to ensure we build them right.
🚗 Parking
You can park at the De Makersfabriek parking lot; enter the old Philips terrain via the McDonald’s. The meetup is in building ZF (Het Ketelhuis). Or use the following link:
Google Maps

✨ Sponsors
DevPulse Zwolle is hosted by CloudProud and powered by ZWINC & DDZ. ZWINC helps entrepreneurs grow their start-up from idea to business.