Engineering with AI Agents: From Multi-Agent Builds to Agent-Ready Codebases
Event PAST

Engineering with AI Agents: From Multi-Agent Builds to Agent-Ready Codebases

03 September Online

About this event

We are thrilled to welcome you to our 11th edition of the AI Native Netherlands, hosted at Buro in De Pijp, Amsterdam.

This is our first meetup after the summer holidays, and we're excited to have you back with the AI Native Netherlands community.

A massive thank you to Cloudflare for sponsoring this evening and taking care of the food, drinks, and venues, and for supporting the Dutch AI engineering community.

This edition is about doing engineering work with agents — from orchestrating multi-agent workflows that build new systems, to getting AI agents to safely navigate the messy, legacy codebases you already have.

We'll cover:

  • Putting coding agents to work on real production systems — and where they deliver versus where they produce confident nonsense
  • Orchestrating multi-agent workflows that handle the heavy infrastructure lifting: a deployment pipeline cut from 4 hours to 4 minutes, and a distributed, edge-native sportsbook
  • Getting agents oriented in unfamiliar, legacy code — and making a codebase navigable enough to trust them in it
  • Turning the tech-debt backlog you keep postponing into work agents can actually chip away at, without resorting to a rewrite
  • The "battle scars": the cognitive load of managing code you didn't write, and fixing hallucinated API integrations
  • The habits that make AI-assisted engineering safe, and what "value" really means for augmented engineering

Speaker 1: Raul Tavares (Cloudflare)
Raul Tavares is a Senior Solutions Engineer at Cloudflare. With previous cloud architecture experience at Google and AWS, his current focus is the intersection of edge computing and AI-augmented workflows. Passionate about practical execution over pure theory, Raul helps developers leverage modern AI tooling to build faster, more resilient distributed systems.

Talk: From Building to Orchestrating: Engineering with Multi-Agent AI
He'll share how he uses AI to manage architectural complexity and accelerate development, prototyping, and time-to-market. He'll demonstrate how CodeGen AI handles heavy infrastructure lifting by walking through two real-world projects he recently built: an agentic workflow that cuts website deployment from 4 hours to 4 minutes, and a distributed edge-native sportsbook. He'll bring customer stories, dive into the "battle scars", the cognitive load of managing code you didn't write, fixing hallucinated API integrations, and defining what value means for augmented engineering with AI tools.

Speaker 2: Michiel van der Ros (TomTom)
Michiel van der Ros is a Staff Engineer at TomTom and tech lead of its web development team. Over two decades he's worked on everything from interactive documentaries and games to large corporate websites. Frontend is his passion, but he's just as at home in cloud architecture and AI-assisted development. He's a seasoned conference speaker, always up for a good discussion, a bit of fire juggling, or a game of table football.

Talk: Rerouting: From Tech Debt You've Been Putting Off to a Codebase Agents Can Actually Navigate
Every team has a list of cleanups it never gets to: the module everyone tiptoes around, the half-finished migration, the refactor that always slips to next quarter. The old fix was often a rewrite — which usually made things worse.

There's a better route now. Coding agents can chip away at that backlog for you, but only if they can find their way through your codebase. Aim one at a messy repo blind and you get confident nonsense; give it the right map and it delivers.

He'll show how he put agents to work on an existing production frontend: how he gets them oriented in unfamiliar code, the habits that make them safe to trust, and where it still goes wrong.

Agenda:

  • 18:00 — Arrival, food & drinks
  • 18:30 — Talk #1 | Raul Tavares
  • 19:15 — Talk #2 | Michiel van der Ros
  • 20:00 — Networking & more drinks
  • 21:00 — Wrapping up

What to bring:
Just curiosity and questions. If you're working on multi-agent workflows, AI-assisted development, or wrestling with legacy code and tech debt in the age of agents, we'd love to hear your questions.

Who is this for:
Platform engineers, AI/ML engineers, SREs, architects, frontend and full-stack engineers, and engineering leaders focused on building and validating reliable AI systems in production.

Where to find us:
Buro, Eerste Jan Steenstraat 72, 1072 NN Amsterdam. In the heart of De Pijp, a short walk from tram stops on Ferdinand Bolstraat.

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 DevFound.ai. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.