Studytube
We are thrilled to welcome you to our **12th edition** of AI Native Netherlands, hosted at the **Studytube** headquarters in Amsterdam. In this edition, Pini takes the organisational view of AI coding adoption - how it progresses across an engineering org and the order things tend to break as it scales. Aleksei goes hands-on into the tooling - what happens when you build an MCP server the way the docs suggest, where it falls apart, and the pattern that replaces it. A massive thank you to our host, [Studytube](https://www.studytube.com/), for their generosity in providing the venue and drinks for this evening and for supporting the Dutch AI engineering community. **We'll cover:** * How AI coding adoption progresses across an engineering org, from first licences toward a mostly automated delivery process * The order things usually break as adoption scales: coordination, review, testing, context, security boundaries, ownership, CI/CD, and product flow * Why faster individual developers don't automatically mean faster team delivery * The platform and infrastructure foundations for scaling AI-generated code safely * Where traditional MCP tools fit, and where they hit their limits * Giving a model an API plus a sandboxed code environment instead of writing a new tool for every use case * Running model-generated code safely: sandboxing, module allowlists, CPU and memory limits, static analysis, and audit logs **Speaker 1: Pini Reznik (re:cinq)** Pini Reznik is a seasoned technology leader with extensive experience in the software industry. He is the CEO and Co-Founder of re:cinq, experts in Cloud Native and AI Native engineering. Former software engineer, Co-Founder of two successful consulting businesses and an O’Reilly author. **Talk: The AI Adoption Ladder: From First Licences to the Dark Factory** AI coding tools make individual developers faster, but many teams discover that delivery does not improve at the same rate. PR volume rises, review queues grow, tests b
Tuesday, September 29 · 6:00 PM