Name: Utrecht JUG Nov 5th Meetup: Trust, Craft, and Code in the Age of AI
Start: 2025-11-05T17:30:00+01:00
End: 2025-11-05T21:30:00+01:00
Location: Capgemini

We are happy and very proud to announce our next meetup where Burach Sadogursky and Jeroen Egelmeers will explain and demonstrate how AI is transforming software development, from code generation to craftsmanship, featuring insights and real-world lessons

The meetup will be hosted by Capgenimi.

**Attention! The talks at this meetup will start 30 minutes earlier than usual for our meetups.**

Please join us and RSVP!

Because of the limited number of seats, please keep your RSVP up-to-date, so we can welcome someone else of you can't make it.

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17.30 Doors open
17.45 Food & Drinks
18.30 Never Trust a Monkey: The Chasm, the Craft, and the Chain of AI-Assisted Code by Burach Sadogursky
19.30 Break
19.45 Coding, Rewritten: What 10.000+ AI-Generated Code Completions Taught Me About the Future of Software Development by Jeroen Egelmeers
20.45 Drinks + raffle

**Giveaway**
2 JetBrains licences

**Talks**

**Never Trust a Monkey: The Chasm, the Craft, and the Chain of AI-Assisted Code**

We’re in the midst of another abstraction leap.

Just like compilers, cloud, and containers before it, AI-generated code started with hype, fear, and broken things, and might still end with progress, but only if we build it right.

As we all know by now, LLMs aren't particularly intelligent; they are just monkeys that sometimes output Shakespeare, but with GPUs instead of typewriters. They’ll generate code with confidence, validate it with tests they wrote themselves (if any), celebrate with a lot of emojis, and call it a job well done.

This talk introduces a working model for AI-assisted development that actually holds up under real-world use. It’s built on three ideas:

\- The Chasm: the dangerous gap between what we meant and what we asked for\.

\- The Craft: the human skill to spot when AI gets it “technically right” but still wrong\.

\- The Chain: the Intent Integrity Chain\, a structured flow of prompt → spec → test → code\, where each output is validated externally\, by humans or deterministic systems\, but never by the same model that generated it\.

And what we end up with is a blueprint for building production-ready software with AI, without sacrificing trust or intent.

Trust your knowledge.
Trust your tests.
Never trust a monkey

**Coding, Rewritten: What 10.000+ AI-Generated Code Completions Taught Me About the Future of Software Development**

This talk explores the transformative impact of AI coding tools on developer workflows, sharing insights from using over 30 AI agents. It covers how AI now challenges logic, suggests improvements, plans, and refactors code, offering practical strategies for adapting to agent-driven development while maintaining control and delivering real-world examples and takeaways.

**Speakers**

**Baruch Sadogursky**

Baruch Sadogursky (@jbaruch) did Java before it had generics, DevOps before there was Docker, and DevRel before it had a name. He started DevRel at JFrog when it was ten people and took it all the way to a successful $6B IPO by helping engineers solve problems. Now, Baruch keeps helping engineers solve problems, but also helps companies help engineers solve problems. He is a co-author of the "Liquid Software" and "DevOps Tools for Java Developers" books, Java Champion and CNCF Ambassador alumni, serves on multiple conference program committees, and regularly speaks at numerous most prestigious industry conferences, such as DevNexus, DevOpsDays, Voxxed Days, Devoxx, DevRelCon, Kubecon and QCon. Today, he's taking care of developers at TuxCare.

**Jeroen Egelmeers**

Jeroen Egelmeers is a Prompt Engineering Advocate and GenAI Whisperer at Sogeti Netherlands. He also serves as a Software Engineering Trainer at the Capgemini Academy and is one of the authors of the latest TMAP book.Jeroen frequently delivers presentations on Prompt Engineering, AmpCoding, and Software Quality at various events and venues. He is the founder of the Crafting AI Prompts Framework — a framework designed to help create optimal prompts while addressing concerns such as non-disclosure, data security, GDPR compliance, and other constraints. He also tracks the latest tools, models, and strategies for Agentic Programming on the framework's website.

Teo Bais

Willem van de Griendt

Michel van Dongen

Utrecht Java User Group

Technology

Java

Open Source

Software Development

Web Technology

Cloud Computing

Web Development

Android Development Operating Systems Technology

Agile Project Management

Test Driven Development

J2EE

Java Concurrency

Java Virtual Machine

Java EE

Server Side Javascript

Utrecht JUG Nov 5th Meetup: Trust, Craft, and Code in the Age of AI

Capgemini

Delen

Utrecht Java User Group

Utrecht JUG Nov 5th Meetup: Trust, Craft, and Code in the Age of AI

Utrecht Java User Group

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