The AI Coding Adoption Ladder: From First Licences to the Dark Factory
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The AI Coding Adoption Ladder: From First Licences to the Dark Factory

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About this event

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

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:

  • The AI Coding Adoption Ladder — how teams move from first licences to structured adoption, agentic workflows, and software factory patterns
  • The order things usually break as AI scales: coordination, review, testing, context, security boundaries, ownership, CI/CD, and product flow
  • Why individual developer speed doesn't automatically become faster team delivery — the central AI Native question of the night
  • The platform and infrastructure foundations that let AI-generated code scale safely, instead of just raising PR volume
  • An open "Ask the Speakers" Q&A to put your own adoption questions directly to the room

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: To Be Announced. We are currently finalizing our second speaker, an expert who will bring a unique perspective to the AI Native landscape. Stay tuned for the announcement!

Agenda:
18:00 — Arrival, food & drinks
18:30 — Talk #1 | Pini Reznik
19:15 — Short break
19:30 — Talk #2 | TBD
20:15 — Ask the Speakers: Open conversation & audience Q&A
20:45 — Networking & more drinks
21:00 — Wrapping up

What to bring: Just curiosity and questions - if you're wrestling with agentic workflows, CI/CD under AI-generated code, or security boundaries as adoption scales, bring those, and we'd love to hear them.

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

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

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