Applying AI Events in Amsterdam

​📍 StartupDock, Singel 126 - Amsterdam
🕙 17:00–19:00 - Sessions
🥂 19:00 - 21:00 - Rooftop Networking, Bites & Drinks
👉 RSVP Here: https://luma.com/x3ksuigr

​A high-signal gathering for Engineering Leaders, CTOs and product leaders shaping how engineering Teams become next.

​Expect engaging sessions, deep dives & conversations on:

1️⃣ Architecting for engineering velocity by Joel Milligan, Founding AI Engineer at Neno
As a team of 8 engineers at Neno, last month we did a total of 322 PRs, with 266 production deploys. How did we do it? And what are the systems that enable such a high throughput?

I’ll use this talk to cover how we built from 0 and scaled into our recent 6.6 million seed round while spending almost nothing on infrastructure

2️⃣ Guarding consistency and reliability in AI workflows by Gert Hengeveld, Engineer at Storybook.
Storybook offers skills and MCP tools to ensure proper component reuse in front-end applications, but AI is inherently random. How do we make sure agents evaluate our skills and workflow descriptions to yield consistent results reliably? In this talk I'll explain the concept of evals, and how to run them in CI to guard against inevitable regressions.

​This is not another mixer. This is where the next AI relationships begin.

​🎟 Limited seats. Application-only access.
👉 Apply to attend right now!

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, 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 become less convincing, context gets messy, and eventually product and platform bottlenecks become visible. AI did not remove the constraint; it moved it.

This talk introduces the AI Coding Adoption Ladder: a practical model for how engineering teams move from first licences to structured adoption, agentic workflows, and eventually software factory patterns. We will look at the order things usually break - coordination, review, testing, context, security boundaries, ownership, CI/CD, and product flow - and what software and DevOps engineers need to fix before AI-generated code can safely scale.

Speaker 2: Aleksei Moiseev (Studytube)
Aleksei is a software architect and engineer with 20+ years of experience building production systems, from hands-on development to large-scale architecture and platform engineering.

Today, he focuses on agentic AI, designing software factories where LLMs and autonomous agents perform real engineering work. His work spans self-hosted AI infrastructure, multi-agent systems, and the architectural patterns needed to run them reliably in production.

He builds and operates the systems he writes about, with a focus on practical, resilient engineering over hype.

Talk: The MCP Wire
Build an MCP server the way the docs tell you to — one API endpoint, one tool — and it works. Then you ask it to create 1,000 users and wait 25 minutes while it makes 1,000 separate calls. Multi-step workflows turn into long chains. Every new use case is another tool to write, test, and maintain. Adding "bulk" tools just moves the problem around.

Aleksei, an AI Solutions Architect at Studytube, walks through building exactly this server for Studytube's user and team management API, hitting that wall, and arriving at a different pattern: give the model an API and a sandboxed Python environment, and let it write and run code for the task in front of it. Ten tool calls become one short loop, executed once — about two seconds instead of fifteen.

The talk covers where traditional MCP tools still fit (simple, atomic, read-only operations), where code execution takes over (batch jobs, conditional logic, multi-step workflows), and how to run model-generated code safely: sandboxing, module allowlists, CPU and memory limits, static analysis, and full audit logs.

A hands-on talk for anyone building with MCP, or about to.

Agenda:
18:00 — Arrival, food & drinks
18:45 — Talk #1 | Pini Reznik
19:30 — Talk #2 | Aleksei Moiseev
20:15 — Networking & more drinks
21:00 — Wrapping up

What to bring: Just curiosity and your own questions. If you're wrestling with agentic workflows, CI/CD under AI-generated code, or security boundaries as adoption scales — or if you're building with MCP and hitting its limits — bring those.

Who is this for: Platform engineers, AI/ML engineers, SREs, architects, and engineering leaders working on reliable AI systems in production — and anyone building with MCP, or about to.

Where to find us: Studytube, Danzigerkade 17, 1013 AP Amsterdam — Google Maps Link

Artificial Intelligence (AI) conference in Amsterdam, Netherlands

Artificial Intelligence (AI) conference in Amsterdam, Netherlands

Op donderdag 22 oktober organiseren we samen met Pink Elephant een nieuwe editie van Copilot Connect in 2026: Unlocking Cowork Potential.

Tijdens deze avond staat één onderwerp centraal: Copilot Cowork. Wat is Cowork precies, hoe zet je het in om werk daadwerkelijk te laten uitvoeren in plaats van alleen te chatten, en wat betekent dat voor productiviteit in de dagelijkse praktijk?

✨ Wat kun je verwachten?

• Praktische inzichten rondom Copilot Cowork: van intentie naar uitgevoerde taak
• Ervaringen uit de praktijk, inclusief de nieuwe kostenstructuur (Copilot Credits)
• Interactie met andere Copilot-gebruikers, consultants en beslissers

👥 Voor wie is dit evenement bedoeld?
Business professionals en eindgebruikers, IT- en adoptieconsultants, Microsoft-partners en managers die serieus aan de slag willen met Copilot.

🎤 Sprekers

• Hans de Vlieger is AI Lead bij Pink Elephant Netherlands en werkt al meer dan 25 jaar binnen het Microsoft-ecosysteem. In zijn sessie "Delegeer Werk. Versnel Resultaat. Behoud Controle." laat hij zien hoe Copilot Cowork zich ontwikkelt van assistent naar volwaardige AI-collega, en hoe je governance, kosten en dataveiligheid daarbij goed regelt zonder dat het de adoptie in de weg zit.
• Johan Mos werkt bij adoptie specialist bij Meev en is Microsoft MVP op het gebied van M365 Copilot & Microsoft 365. In zijn sessie "Don't Mess with the Cowork" neemt hij je mee in wanneer je Cowork wel en niet loslaat op je werk, aan de hand van praktijkvoorbeelden over wat er gebeurt als je die keuze verkeerd maakt.

📍 Praktische informatie
📅 Datum: Donderdag 22 oktober
📍 Locatie: Pink Elephant, Amsterdam
🍽️ Eten en drinken: Inbegrepen + een borrel om de avond af te sluiten
⏰ Tijdschema: 17.00 uur: Inloop | 17.30 uur: Diner | 18.00 uur: Start sessies | 20.30 uur: Borrel (mogelijkheid om vanaf 15.00 uur bij Pink Elephant op kantoor te werken in verband met files, indien je hier gebruik van wilt maken stuur dan even een mailtje naar dani.brandsema@wortell.nl)

🤝 Over Copilot Connect
Copilot Connect is een community voor iedereen die verder wil met Copilot. We brengen mensen samen om kennis te delen, vragen te stellen en van elkaar te leren. Praktisch, open en community-gedreven.

Meld je aan en sluit je aan bij de Copilot Connect community.

Let op: dit evenement is Nederlandstalig.