Brainberg

Tech Events in Amsterdam

Amsterdam runs one of the strongest applied-AI event calendars in Europe. The city is full of product engineering teams actually shipping AI features, which shows up as depth in LLM integration, agent, RAG, and evaluation-focused meetups. Product management and design events are also unusually strong here (The Next Web, Mind The Product, Config EU satellites), as is the data-engineering scene around dbt and Snowflake.

The calendar is almost entirely in English. Evening meetups run nightly in the city center and Noord; larger conferences fill the RAI. The Dutch scene is distinctively mixed between scaleups, remote-first teams, and EU-HQ offices, which gives the event content an unusually product- and engineering-leadership-heavy tilt compared to more research-focused European cities.

Upcoming events in Amsterdam

AI Integration & ApplicationMeetupFree

How engineering organizations transform in the AI era (rsvp via link required)

Amsterdam, ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands

An AI-Native Workflow Gathering for Leaders in Tech

โ€‹๐Ÿ“ StartupDock, Singel 126 - Amsterdam
๐Ÿ•™ 17:00โ€“19:00 - Sessions
๐Ÿฅ‚ 19:00 - 21:00 - Rooftop Networking, Bites & Drinks
๐Ÿ‘‰ RSVP Here: https://luma.com/x3ksuigr

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

โ€‹Expect engaging sessions, deep dives & conversations on:

1๏ธโƒฃ 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?

Iโ€™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

2๏ธโƒฃ 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.

โ€‹This is not another mixer. This is where the next AI relationships begin.

โ€‹๐ŸŽŸ Limited seats. Application-only access.
๐Ÿ‘‰ Apply to attend right now!

Wed 23 Sept ยท 15:00< 50
Software EngineeringMeetupFree

Amsterdam JUG Meetup at Picnic

Amsterdam, ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands

Join in with the latest Amsterdam JUG Meetup at Picnic HQ, Van Marwijk Kooystraat 15, 1114 AG Amsterdam.

Agenda

  • 17:30 โ€“ Doors Open (and food!)
  • 18:00 โ€“ 18:45 โ€“ "Keynote: How Software-defined Robotics is Rewriting the Physical World" by Daniel Gebler, Picnic CTO
  • 18:45 โ€“ 19:00 Small Break
  • 19:00 โ€“ 19:45 - "Part 1: The Gray Factory" by Victor Rentea
  • 19:45 โ€“ 20:00 Small Break
  • 20:00 โ€“ 20:45 - "Part 2: Career Reconversion to Agentic Engineer" by Victor Rentea
  • 21:00 The End

Abstracts

"Keynote: How Software-defined Robotics is Rewriting the Physical World" by Daniel Gebler, Picnic CTO

Robotics is not primarily a hardware challenge. The hard part is building software that turns imperfect data into reliable decisions and coordinates thousands of moving parts in the physical world. Picnic is building a software-defined grocery operation spanning demand forecasting, inventory, automated fulfilment, warehouse robotics, routing and delivery.

Java/Spring microservices, event-driven workflows, optimisation engines and machine-learning models work together as a distributed cyber-physical system - handling asynchronous events, partial failures, changing state and hard real-world deadlines.

In this keynote, Daniel Gebler, CTO of Picnic, explores how to decompose physical operations into reliable services, coordinate them through events and state, combine probabilistic AI with deterministic rules and guardrails, and use observability, simulation and feedback loops to evolve complex systems safely.

As AI begins to write code, operate tools and make decisions, engineers will increasingly design the boundaries, evaluations, failure handling and ownership models that make these systems trustworthy. A practical deep dive into Java microservices, AI, robotics and the architecture required to make software move the physical world.

"Part 1: The Gray Factory" by Victor Rentea

The most agentified engineering teams of my clients are all converging towards the same workflow, aiming to optimize the code review step while preventing human cognitive debt and skill erosion.

This talk summarizes their practices, teaching actionable steps and milestones to gradually improve the quality of AI-generated code up to a point in which you can safely start decreasing the code review โ€˜intensityโ€™.

Dark Factories are not built ground up - instead, lights are responsibly dimmed, then turned off one by one, area by area, after observing impeccable code produced consistently.

"Part 2: Career Reconversion to Agentic Engineer" by Victor Rentea

  • Identity crisis - who are we?
  • Mandatory mindset changes
  • What makes a good Agentic Engineer?
  • Job Interviews - what matters?
  • Skill Erosion
  • Team structures
  • Cognitive Debt (former Tech Debt)
  • Agentic Worklife Calisthenics
  • Fastest Reconversion Path
  • Helping the Skeptics

Bios

  • Daniel Gebler builds the systems that power modern retail and grocery logistics at Picnic. As CTO, he leads the engineering teams responsible for scaling the companyโ€™s infrastructure and shaping the technical strategy behind online shopping. His recent work focuses heavily on the practical applications of artificial intelligence in retail.
  • Victor Rentea is a Java Champion with extensive experience in training mid-senior developer groups (5000+ developers of 100+ companies). During these intense workshops, Victor gets to debate with very bright engineers about the challenges faced by their projects. Discover how Victor can help you at https://victorrentea.ro: training catalog, consultancy, and YouTube channel.
Thu 24 Sept ยท 16:0050โ€“200
Software EngineeringMeetupFreeOnline

Data Thursday

Amsterdam, ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands

Hi there ๐Ÿ‘‹

At Data Tribes, we organise meetups because we truly care about sharing knowledgeโ€”both within and beyond our organisation.
We believe that bringing people together to connect, create, learn and grow benefits not only us, but the entire data community.

๐ŸŽ๏ธ ๐—™๐Ÿญ ๐—จ๐—ก๐—Ÿ๐—˜๐—”๐—ฆ๐—›๐—˜๐—— ๐Ÿ
๐—ฅ๐—˜๐—”๐—Ÿ-๐—ง๐—œ๐— ๐—˜ ๐—™๐Ÿญ ๐—”๐—ก๐—”๐—Ÿ๐—ฌ๐—ง๐—œ๐—–๐—ฆ // ๐—”๐—š๐—˜๐—ก๐—ง๐—œ๐—– ๐—˜๐—ก๐—š๐—œ๐—ก๐—˜๐—˜๐—ฅ๐—œ๐—ก๐—š
What does โ€œreal timeโ€ truly mean in the world of Formula 1 - and what happens when a domain expert builds the application with an AI coding agent?
F1 Unleashed is Nelson Sousaโ€™s latest personal project: an application that streams, downloads, visualises and analyses Formula 1 data while the action is still unfolding.
Timing screens. Weather. Telemetry. Strategy insights. Tactical opportunities. Predictions.
Not a Monday-morning explanation of how Sundayโ€™s race was won or lost, but insights when they still matter.

๐—ช๐—ต๐—ฎ๐˜ ๐˜๐—ผ ๐—ฒ๐˜…๐—ฝ๐—ฒ๐—ฐ๐˜
๐Ÿ“ก Live Formula 1 timing, weather and telemetry data
๐Ÿ“Š Near-real-time race analysis, predictions and strategy insights
โšก The challenge of reducing latency from one hour to five minutes, five seconds and ultimately under one second
๐Ÿง  Why predictive models are only as goodโ€”and as fastโ€”as the data pipelines feeding them
๐Ÿค– How Nelson used Claude Code as an implementation agent while retaining control over the domain reasoning, architecture and validation
๐Ÿ› ๏ธ An honest look at the possibilities, lessons and limitations of agentic engineering
The AI helped write the application. Nelson decided what it needed to understand.
Whether you are a Formula 1 fan or interested in streaming data, predictive modelling, real-time analytics or AI-assisted software engineering, this meetup is for you.

๐—ง๐—ต๐—ฒ ๐—ฎ๐—ด๐—ฒ๐—ป๐—ฑ๐—ฎ
// 18:00 โ€” Doors open
// 18:30 โ€” Drinks and pizza
// 19:00 โ€” Start of the presentation
// Nelson Sousa: ๐ŸŽ๏ธ ๐—™๐Ÿญ ๐—จ๐—ก๐—Ÿ๐—˜๐—”๐—ฆ๐—›๐—˜๐—— ๐Ÿ
// 21:00 โ€” Networking
// 21:30 โ€” End of the meetup
๐Ÿ“… Thursday, 24 September 2026
๐Ÿ“ The Henry, B. Amsterdam โ€” B.1
Johan Huizingalaan 763a, Amsterdam

We look forward to seeing you there!

Greetings,
Data Tribes Inc.

Thu 24 Sept ยท 16:0050โ€“200
Software EngineeringMeetupFree

PostgreSQL Usergroup NL Meetup - The Fall Edition

Amsterdam, ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands

Dear all,

We are happy to invite you to the next edition of the PostgreSQL User Group NL Meetup on 29 september 2026 in Amsterdam.

This time we have been invited by ABN AMRO to host the event at their offices on the Gustav Mahlerlaan. We are very appreciative of this gesture and would like to thank them for supporting the PostgreSQL community with the venue and the hospitality.

On the agenda we have two great talks. First up is Sebastiaan Mannem, who will take us deep into the PostgreSQL IO subsystem, following data changes from query to datafile and everything that happens in between. Next on the program is Peter Lengkeek, who will share his journey into CloudNativePG (CNPG).

As usual, we have reserved some space in the program for anyone who wants to do a lightning talk. If you are interested, please contact us via a personal message on meetup.com.

We are very grateful for the contributions of both presenters as well as our host, to make this all possible for the PostgreSQL community in the Netherlands.

We hope to meet many of you at the meetup, a moment where PostgreSQL users can connect, share knowledge, and discuss the latest developments in the PostgreSQL ecosystem.

We look forward to a great meetup!
Gerard Zuidweg
Feike Steenbergen

Meetup Program

17:30 โ€“ 18:25 โ€” Welcome, Beer & Bites

18:30 โ€” Opening

18:30 โ€“ 19:10 Postgres IO internals: Between query and datafile
Sebastiaan Mannem - CTO Nibble IT

Abstract: When a query inserts, updates or deletes data (DML), or objects (DDL), these changes end up in the Postgres datafiles โ€” but not immediately. Where does the data end up in between, and which process(es) take care of that? And why, and how? How does Postgres remain consistent โ€” what does it keep consistent, and what is never consistent? And how does the changed data end up on the standby โ€” how is synchronous replication implemented? These are some deep questions, and we will try to tap into many (if not all) of them, and more, as we follow data changes from query, through the PostgreSQL IO subsystem, until it hits the data files.

About Sebastiaan: Technically driven database, container and cloud specialist. Earned my stripes and was battle hardened by the Dutch Government. As CTO of Nibble-IT I do all I can to make our customers successfull with PostgreSQL, which includes: enable with design, build stuff, enable the next generation of consultants and developers.

โ€” (Very) Short Break โ€”

19:15 โ€“ 19:55 โ€” My journey into CNPG โ€“ Peter Lengkeek DBA for CloudNativePG โ€“ Savepoint

Abstract Getting familiar with CloudNativePG, running PostgreSQL on Kubernetes, is not difficult. Install Kubernetes on your Windows or MacBook and start. Create My first cluster, yes! Going further, is for most PostgreSQL DBAโ€™s a bigger step to take. Learning Kubernetes concepts and all the available tooling, related to CloudNativePG and Kubernetes. Often, I see organizations struggling with the implementation of CloudNativePG as a product, although the have chosen the product on corporate level.
In my presentation I share my journey into CloudNativePG. Hopefully, to support PostgreSQL experts to go the same road. Also, I want to reflect some aspects of the implementation of CloudNativePG in organizations.

About Peter: I started 35 years ago, working with Oracle database technology. Mainly in the role of a Database Administrator and Developer, specialized in the combination of technology and organization.
At the beginning of 2024 I started a consultancy job at a client of OptimaData with PostgreSQL database technology. I jumped into a "pressure cooker" to learn all kind of PostgreSQL knowledge compared to my reference model of Oracle.
Since August 2024 Iโ€™m focused on the CloudNativePG operator for PostgreSQL databases on Kubernetes. For me, the way to go! I was several times a guest lecturer for an intro training CloudNativePG, including the Blue Elephant Pack. I'm happy to help organizations and DevOps teams get the most out of CloudNativePG.

19:55 โ€“ 20:00 โ€” Lightning Talks

20:00 โ€“ 20:30 โ€” Wrap-up and drinks

Tue 29 Sept ยท 15:3050โ€“200
AI Integration & ApplicationMeetupFree

The AI Coding Adoption Ladder & The MCP Wire

Amsterdam, ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands

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 Oโ€™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 โ€” one API endpoint, one tool โ€” 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 โ€” 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 โ€” Arrival, food & drinks
18:45 โ€” Talk #1 | Pini Reznik
19:30 โ€” Talk #2 | Aleksei Moiseev
20:15 โ€” Networking & more drinks
21:00 โ€” 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 โ€” or if you're building with MCP and hitting its limits โ€” bring those.

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

Where to find us: Studytube, Danzigerkade 17, 1013 AP Amsterdam โ€” Google Maps Link

Tue 29 Sept ยท 16:0050โ€“200
Software EngineeringMeetupFree

Amsterdam JUG OTel Workshop at Dash0

Amsterdam, ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands

Join in with the latest Amsterdam JUG Workshop at Dash0 (which is at Dash0, Nieuwezijds Voorburgwal 162/Suite 401, 1012SJ Amsterdam), in which we learn all the basic principles of OpenTelemetry, while eating pizza, (and celebrating Yoeri Krom's birthday).

Important:

  • Bring your own laptop because this is a hands-on workshop where you'll be learning about OpenTelemetry from scratch!
  • On your laptop, you need a local Kubernetes cluster to already be running (e.g., kind or k3s).
  • On your laptop, you need to have a Java, Node, .NET, Python or Ruby application that is important to you and that you know how to deploy on Kubernetes; if you donโ€™t have one, we will have test applications available, but that would only be half the fun!
  • Limited seats, exclusive workshop, sign up quick!

Agenda

17:30 โ€” Doors Open (and Food and Drinks)
18:00โ€“18:20 โ€” OpenTelemetry for Complete Beginners (Part 1).
18:20โ€“18:50 โ€” OpenTelemetry for Complete Beginners (Part 2).
18:50โ€“19:20 โ€” Hands on Lab 1: Instrumenting a demo app.
19:20โ€“19:35 โ€” Break.
19:35โ€“20:10 โ€” Hands on Lab 2: From data to answers.
20:10โ€“20:40 โ€” Hands on Lab 3: Break things on purpose.
20:40โ€“21:00 โ€” Wrap-up.

Details on Labs

Lab 1: Instrument a demo app. Add OpenTelemetry to a small service from scratch: SDK, auto-instrumentation, and a collector. You'll send the resulting traces, metrics, and logs into a demo environment so you can see what your instrumentation actually produces.

Lab 2: From data to answers. With telemetry flowing, we'll work through real questions: which service is slow, why, and what changed. The environment that we set up in Lab 1 is our workbench, but the techniques (correlating traces with logs, reading resource attributes, querying by semantic conventions) apply to any OTel-compatible backend.

Lab 3: Break things on purpose. Introduce latency, errors, and a misbehaving dependency into the demo app, while tracing the failure back to its cause using only what OTel gives you. The goal is to see how much of a real incident you can reconstruct from the signals, using the demo environment to check whether your diagnosis continues to makes sense.

Wed 30 Sept ยท 16:0050โ€“200
Software EngineeringMeetupFree

Amsterdam JUG Meetup at Mollie

Amsterdam, ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands

Join in with the latest Amsterdam JUG Meetup at Mollie, Keizersgracht 126, in central Amsterdam.

Agenda:

17:30: Doors open (and food)
18:00 - 18:45 - Talk 1: "Your Spring Boot Production is Bleeding. Let's Fix That." -- Mikhail Polivakha
18:45 - 19:30 - Talk 2: "Building Scalable, Low-Latency Fraud Detection AI in Java" -- Zoran Sevarac
19:30 - 20:15 - Talk 3: "Breaking the Monolith: Learnings from a Year of Improvements" -- Murat ร–zkan
20:15 - 21:00 - Talk 4: "HTTP: How Teenagers Talk to Their Parents" -- Hanno Embregts

Abstracts:

Talk 1: "Your Spring Boot Production is Bleeding. Let's Fix That." -- Mikhail Polivakha

The Java community shares a stack: Spring, Hibernate, Spring Data, Jackson. And with it a set of best practices we hear on repeat:

  • Disable Open Session in View in production
  • Avoid N+1, EAGER fetching, Cascade.REMOVE on collections
  • Adopt Project Leyden and Lilliput and so on.

We know the rules by heart. But who checks that every service in the fleet actually follows them? In this talk, I will introduce Axelix, an OSS toolkit that closes that gap for Spring Boot ecosystems.

A lightweight starter plus a build-system plugin discovers each service's misconfigurations, persistence anti-patterns, and JVM improvement opportunities, then streams them to the Axelix Master - a single monitoring view, fleet-wide and per service.

We will go from a bare app to actionable insight live and see how Axelix exposes the opportunities to fix the findings to AI Agents via a built-in MCP server.

Talk 2: "Building Scalable, Low-Latency Fraud Detection AI in Java" -- Zoran Sevarac

For modern payment platforms, fraud detection is not only a machine learning problem โ€” it is a business-critical capability. As transaction volumes grow, payment providers need to detect risk effectively while maintaining fast payment processing, controlling infrastructure costs, and scaling without adding unnecessary operational complexity.

In this session, weโ€™ll show how an end-to-end fraud detection pipeline can be built entirely in Java โ€” from transaction ingestion and feature processing to machine learning inference and fraud scoring.

Using payment fraud detection as a practical use case, weโ€™ll examine the engineering decisions that directly affect business outcomes: how to increase transaction-processing capacity, maintain predictable low latency, reduce infrastructure overhead, simplify integration, and scale fraud detection cost-effectively as payment volumes grow.

Talk 3: "Breaking the Monolith: Learnings from a Year of Improvements" -- Murat ร–zkan

After a year of effort reducing the complexity of a 15-year-old monolithic codebase at Miro, we are back to share our learnings, both technical and
organizational. Organizational challenges often get overlooked, but they are critical for success at scale.

On the organizational side, we will discuss some "controversial" topics, such as the value of modularization, building and keeping sponsorship, prioritizing by impact, and the role of standards and observability. Without those, this project wouldn't have got past a personal hobby.

On the technical side, we will talk about some patterns that caused tight coupling in the codebase over the years, and how we detect and remove them without disrupting day-to-day development. That includes the role of agents in the trenches.

This talk is for any developer, team lead, or architect trying to improve a codebase that is too big to fix alone.

Talk 4: "HTTP: How Teenagers Talk to Their Parents" -- Hanno Embregts

As a parent, Iโ€™ve often found that getting a straight answer from a teenager can feel like an exercise in debugging. This realisation led me to discover the surprisingly close parallels between navigating those conversations and understanding HTTP status codes.

This talk wonโ€™t be about parenting (though there will be anecdotes!), but rather about decoding the language that modern systems use to communicate โ€“ success, failure, and everything in between.

Weโ€™ll explore common HTTP status codes, their implications for developers, testers, architects, and anyone who works with data, and discover how these codes can help us troubleshoot problems, build more resilient applications, and perhaps even understand the often-mysterious responses we receive from the teenagers in our lives.

Mon 5 Oct ยท 16:0050โ€“200
Software EngineeringMeetupFree

AMS DB October meetup

Amsterdam, ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands

The October event will be hosted by the MySQL team at Oracle.

Program:

  • 17:45 - Doors open / refreshments / drinks
  • 18:00-18:05 - Welcome
  • 18:05-18:55 - The Path to MySQL Open Innovation - Heather VanCura
  • 18:55-19:00 - Short break
  • 19:00-19:50 - MySQL Technical Session - Matthias Crauwels
  • 19:50-20:00 - Q&A / discussion / networking
  • 20:00 - End of meetup, with a possible external social gathering afterwards

The Path to MySQL Open Innovation
Abstract:
As the MySQL Community celebrates its 30-year milestone in 2025โ€“2026, it reaches a defining moment in its evolution. Looking ahead, the community enters a new phase focused on expanding engagement, collaboration, contributions, and the pace of innovation.
Oracle and the MySQL Community are embarking on a bold transformationโ€”reimagining how one of the world's most widely used open-source databases is built, governed, and evolved.
This session shares details on the next phase of that transformation following the MySQL 9.7 Community Edition release. Sparked by direct community feedback about the future of MySQL as an open ecosystem, this journey led to a multi-phase strategy to modernize MySQL's development model.

About Heather VanCura:
Heather VanCura serves as Vice President of External Standards & Community Engagement at Oracle, where she leads global strategy for Oracle's participation in formal and informal standards organizations and engagement in open-source projects worldwide. She also leads Oracle's MySQL community engagement initiatives, fostering relationships with developers, user groups, and open-source contributors around the world.
With extensive experience in community building, open governance, and developer relations, Heather focuses on advancing MySQL through open collaboration, modern development practices, and ecosystem growth. Her work strengthens connections between Oracle engineering teams and the global MySQL community, supporting open participation, greater transparency, and contributions that help shape the future of data platforms. She helps ensure that MySQL continues to evolve as the world's leading open-source database.

Thu 8 Oct ยท 16:00< 50
Hardware, Robotics & IoTMeetupFree

Robot-Con @ Amsterdam's Biggest Basketball Arena

Amsterdam, ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands

๐Ÿค– Get ready for Robo Con @ Amsterdam's biggest basketball arena! We're hosting a massive robotics event! ๐Ÿค–

๐Ÿ€๐Ÿ€๐Ÿ€ Weโ€™ll have top robotics companies and student projects showing off their robots in Amsterdam's largest sports hall. We'll be transforming the city's biggest basketball arena (the stands can hold up to 3,000 people) into a robotics expo. So you can walk around the hall and the court, check out the robots, and network. The doors open at 16:00, although of course you can get there later.

๐Ÿค–๐Ÿค–๐Ÿค– We already have over 20 robots coming to Robo Con, including the TU Delft, VU, and UvA robotics departments, large companies like Monumental, Nebius, and Prosus, and six robotics startups.

๐Ÿฟ๐Ÿฟ๐Ÿฟ We'll have some entertainment for this event, including a robot dance contest and a robot race! We also have a t-shirt cannon to fire free t-shirts into the crowd! The show will start around 18:00. But it's not just silly entertainment. We also have an excellent panel for this event discussing the cutting edge of AI in robotics.

๐ŸŽค๐ŸŽค๐ŸŽค The panel for this event features Sebas Visser, the founder and CTO of Monumental, and Pepijn Kooijmans, who leads Hugging Face's open-source robotics initiative. We'll announce the third and final panelist soon. Seb Vaessen will moderate the panel. Seb leads venture investing in Europe at Prosus, and is investing in robotics companies. After the panel ends, we'll go back to an open expo and networking until they kick us out.

โŒโŒโŒ We're also partnering with the City of Amsterdam for this event, through Amsterdam Trade & Invest and StartupAmsterdam. The City of Amsterdam is committed to promoting deep tech and robotics. One example is the city's recent investment in the Amsterdam University of Applied Sciences (HvA) robotics lab, which brings together students, researchers and startups. Learn more about this fresh initiative at Robo-Con!

โ€‹๐Ÿ…ฐ๏ธโ„น๏ธ ๐ŸŒŠ Robo-Con Amsterdam is organized by AI on the Amstel. The AI on the Amstel meetup is Amsterdam's largest monthly AI event. We get 250-400+ people/month depending on the size of the venue that month. We go to a new location each month. Founded in 2024, we have over 6,500 members and a 4.7/5 rating on Meetup.

๐Ÿค–๐Ÿค–๐Ÿค– We held our first AI on the Amstel meetup on AI and robotics in February 2026, but the venue ultimately wasn't big enough for the topic! We hit the capacity of the space (pictures of the 400 people who attended), and we could only fit relatively small robot demos. So we're going MUCH bigger for v2 of the robotics meetup!

โ€‹๐Ÿ“ฃ๐Ÿ“ฃ Finally, a shout-out to our meetup sponsor โ€” Qwen! Qwen is the leading AI model family in China, and they now have a team in Europe. Want to learn more? Reach out to Kas or Daniel from the team based in the Netherlands.

Photography and video notice: like all of our events, photography and video recording will take place at this event. By attending, you acknowledge and consent to being photographed or filmed and to the use of these images and recordings for promotional and outreach purposes.

Tue 13 Oct ยท 14:00200โ€“1000
Data & AnalyticsMeetupFree

NL dbt meetup: 17th Edition

Amsterdam, ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands

Our friends at Eraneos are hosting the upcoming event at their office at Amsterdam arena offices!

17:30 โ€“ ๐Ÿ•๐Ÿ”๐Ÿฅ— Welcome & Light Dinner

18:00 - Talk 1: Jasper Stoop (Eraneos) - Closing the gap between business context and warehouse engineering with DIMO

Dimo is an agentic web application that helps transform business context, source data, and analytical requirements into a Kimball-style dimensional model. It starts from business processes, entities, and use cases, links those concepts to real warehouse tables, and incrementally shapes facts and dimensions into a validated star schema. The project is grounded in live warehouse metadata and testing, so the resulting model is not just conceptual but checked against actual source data and expected business outcomes. From that validated design, Dimo generates fully documented SQL or a native dbt project with table and column descriptions and core data tests. The result is a production-ready analytics engineering asset that connects business understanding directly to runnable dbt code.

18:30 - Talk 2: Sean McIntyre (dbtLabs + Fivetran) - Congratulations! You're a context engineer
Sean is a Solutions Architect based in Vienna. He helps the largest and best companies in Europe with their data, analytics, and AI. Heโ€™s a dad to two awesome boys and enjoys riding bikes on the weekend. He'll discuss how data engineers and analytics engineers can think about the roles in their companies, and advocate to bring in more data sources into their existing workflows that AI models help process, and make well-governed data as context for AI agents.

19:00 - Talk 3: Eva van Kalmthout & Stan Verwer - A data platform that fits in a git repo
As an open source integrator of open source data platform tooling, datavloot runs dlt, DuckDB, dbt, Dagster and Elementary out of one repository, started with one command. On stage we will take you through our demo project and dbt standardizations. After that we show the boat we plan to build next, what it takes to scale this up, and how you can use datavloot to install your own data platform on your laptop in just a few minutes.

19:30 โ€“๐Ÿฅค Drinks & Snacks

----

Join the dbt Slack community: https://community.getdbt.com/
Join the conversation in the #local-netherlands channel in dbt Slack to connect with other data practitioners locally.

To attend, please read the Required Participation Language for In-Person Events with dbt Labs: https://www.getdbt.com/legal/health-and-safety-policy

Tue 13 Oct ยท 15:30< 50
Software EngineeringMeetupFree

AdvancedAI Amsterdam

Amsterdam, ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands

๐ŸŒŸ AdvancedAI Amsterdam ๐ŸŒŸ
๐Ÿš€ Our mission is to share knowledge and innovative ideas with engaged attendees at our in-person AI meetups, making the community bigger and better.

๐Ÿ• Free event with pizzas and drinks

๐Ÿ—“๏ธ Date & Time:
Join us on October 14, at 18:00 for an evening filled with insights, networking, and the joy of AI.

๐Ÿ“ Location: We'll gather at the Xebia office at
Wibautstraat 200, 1091 GS Amsterdam

๐Ÿ•’ Event Schedule:

  • 17:30 - Walk in, Drinks & Pizza ๐Ÿ•
  • 18:00 - Explainable Agentic Workflows - Arman Kavian
  • 18:40 - Can Agents Dream? - Florian Buetow
  • 19:20 - Grounding AI Agents in Your Data Model - Ricardo Granados
  • 20:00 - Drinks and networking
  • 21:00 - Doors close

๐Ÿ’ฌ Talks:

  • Explainable Agentic Workflows - Arman Kavian
    Agents don't report their reasoning. They narrate it. Preserve the reasoning as structure, and the story can be checked against what actually drove the outcome.

  • Can Agents Dream? - Florian Buetow
    During sleep, our brain replays and reorganizes past actions and experiences, helping us learn from them through dreaming. Most agents' memory systems have no equivalent. They store and retrieve information on demand. But they do not replay or learn from the agents' past actions. This session introduces dreaming as an agentic memory architecture that improves the performance of long-running agents. It covers the main approaches and compares them with retrieval-based memory systems.

  • Grounding AI Agents in Your Data Model - Ricardo Granados Lopez
    AI can already read your SQL and draft what a data model means. This talk is about what has to be true before you'd trust that draft enough to rely on it. We'll walk through a working pipeline, live, that grounds an AI agent's claims about your data in real evidence, and come away with a precise, testable answer for where that trust can be automatic and where it can't.

Looking forward to welcoming you! ๐Ÿ‘‹๐Ÿš€

Wed 14 Oct ยท 15:3050โ€“200
AI Integration & ApplicationMeetupFree

Copilot Connect: Unlocking Cowork Potential

Amsterdam, ๐Ÿ‡ณ๐Ÿ‡ฑ 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 รฉรฉn 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?

โœจ 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

๐Ÿ‘ฅ 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.

๐ŸŽค 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.

๐Ÿ“ Praktische informatie
๐Ÿ“… Datum: Donderdag 22 oktober
๐Ÿ“ Locatie: Pink Elephant, Amsterdam
๐Ÿฝ๏ธ Eten en drinken: Inbegrepen + een borrel om de avond af te sluiten
โฐ 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)

๐Ÿค 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.

Thu 22 Oct ยท 15:00< 50