πŸ”₯ Agentic Engineer Course β€” October cohort registration is now open β†’

Turn your chaotic requirements into an organizational playbook

3-Week Program

The Agentic Engineer Program

Go from a messy idea to a shipped, event-sourced system - built with AI agents that work from a complete spec, not a vague prompt. Three weeks: Event Modeling, Event Sourcing & Slices, and AI Engineering.

For Individual Developers Register Now
For Teams & Managers Book a Call

Registration for the October 2026 cohort is now open - secure your spot.

Delivered by Nebulit.

Why This Program

Code Generation Isn't the Bottleneck Anymore

Why: AI agents can already write code faster than any team. What most teams are missing is a spec complete enough - and a process disciplined enough - for that code to be correct, testable, and production-grade on the first pass.

This program builds that foundation from the ground up: model the domain, turn the model into a working event-sourced system, then hand slices of it to autonomous agents and watch them ship.

Understanding Eventsourcing book cover
From the Author

From the Author of "Understanding Eventsourcing"

This program is taught by Martin Dilger, author of Understanding Eventsourcing - the comprehensive guide combining Event Modeling, Event Sourcing, and Vertical Slice Architecture into one practical, production-grade process.

πŸŽ“ Educating Engineers since 2010 πŸ‘₯ 1,400+ people trained
Three Weeks, One Delivery Pipeline

From Model to Shipped System

Each week builds directly on the last - the model you build in Week 1 becomes the system you build in Week 2, and the substrate your agents work from in Week 3.

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Week 1 - Event Modeling

Build a model of a real feature that's honest about how the system actually behaves - events, commands, read models, storyboards, business rules, and slices.

  • The 4 building blocks & 4 core patterns
  • Timeline, storyboards, Given-When-Then scenarios
  • Slicing the model into estimable work
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Week 2 - Event Sourcing & Slices

Turn one slice of the Week 1 model into a working, tested, event-sourced vertical slice - command handler, event, and read-model projection.

  • Event Sourcing fundamentals & CQRS in practice
  • Entities, aggregates, and process managers
  • Tests derived directly from the model's scenarios
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Week 3 - AI Engineering

Stop treating AI as a code-completion tool. Set up an agent loop that reads slices from the model and ships them - with guardrails, not babysitting.

  • Spec-driven development & the agent loop
  • Setting up the harness, slice status as a task queue
  • Guardrails, verification, and engineering trust
The Curriculum

Week by Week

Each week builds toward a concrete deliverable, working the whole time against one running example you bring from your own work.

1 Week 1 - Event Modeling
  • Name the 4 building blocks (Events, Commands, Read Models, external systems) and the 4 core patterns; critique a flawed model in pairs.
  • Build a chronological timeline for your example and extend it into a full user journey.
  • Storyboard screens for every event/command, and translate the model into your team's existing process vocabulary (Scrum, BPMN, UML).
  • Extract Given-When-Then scenarios from a "hidden business rule" transcript, then slice the model into delivery-sized units.
  • Group exercise: model a new feature live from a messy, stakeholder-interview-style description ("model as you speak"), then present and peer-review.
2 Week 2 - Event Sourcing & Slices
  • Explain Event Sourcing as "the simplest thing that could work," and separate a command path from a query path for one slice.
  • Scaffold one slice end-to-end - command handler, event, read model - from a template.
  • Enforce the slice's entity invariant correctly, and decide whether your own example needs a process manager.
  • Convert Week 1 scenarios into executable Given-When-Then tests, then build and verify the read-model projection.
  • Group exercise: finish and demo your slice end-to-end, and weigh event store vs. Kafka (or both) for your own context.
3 Week 3 - AI Engineering
  • Run the same feature through a vague prompt and a full spec, compare the diff, and understand how the RALPH loop works.
  • Wire up a harness where a slice's status change triggers an agent to pick it up, and dry-run it end-to-end.
  • Run a deliberately under-specified slice through the loop, watch it fail or get blocked, fix the spec - not the prompt - and re-run.
  • Add guardrails to your harness and deliberately trigger one to confirm the loop respects it.
  • Group exercise: take a new feature from idea to a complete Event Model, hand it to the harness, and observe the result - no manual prompting after kickoff.
Who It's For

Built for Engineers Who Ship

Why: the program assumes you'll walk away with a real, working slice of your own system - not a set of slides about agentic AI.

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Engineering Teams

Learn a repeatable pipeline from domain model to shipped, tested code - one your whole team can run again on the next feature.

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Architects & Tech Leads

Design the harness and guardrails that let agents work autonomously on your codebase without drifting from the spec.

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Teams Adopting AI Agents

Move past ad-hoc prompting toward a process where the spec - not the prompt - is what makes agent output trustworthy.

For Teams & Managers

Bring This to Your Engineering Team

Why: the fastest ROI isn't one engineer learning a new technique - it's a whole team sharing one spec-driven process, so estimates, code review, and AI-agent output all speak the same language.

This program is also delivered as a tailor-made in-house workshop for your team - same curriculum, calibrated to your codebase and stack, with your engineers modeling and shipping a real feature from your own backlog instead of a generic example.

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Fewer Rewrites

A complete spec up front cuts the back-and-forth of code review and rework - the model catches gaps before a single line of code is written.

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Faster Onboarding

New engineers ramp up against a living model of the domain instead of tribal knowledge and outdated diagrams.

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Shared Vocabulary

Product, engineering, and AI agents work from the same model - fewer misunderstandings and less re-explaining of requirements.

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Investment

€1150 + VAT

One-time payment for the full 3-week program. Risk-free - full money-back guarantee anytime before the program starts, no questions asked.

Registration for the October 2026 cohort is now open.

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3-Week Live Program

Kicks off with a 3-hour live workshop, plus weekly live sessions and self-paced materials for all 3 weeks.

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12-Month SOLO License

Full access to the eventmodelers platform (app.eventmodelers.ai) for 12 months, included in the price.

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Money-Back Guarantee

Cancel anytime before the program starts for a full refund, no questions asked.

Register Now

Workshop Feedback

What Participants of Our Workshops Say

"Modeling some flows in the workshop and getting your feedback in real time was like turning on the defogger for the windscreen in my car. I'm able to see my way forward better now."

- Workshop Participant, October 2025

"The workshop was great - insightful and at the same time very down to earth. The example use cases were realistic, not simplistic. I liked that we started with simpler use cases and worked our way to more complex ones."

- Workshop Participant, October 2025

"It's evident that Martin has extensive hands-on experience with Event Modelling, and the workshop reflects this through its practical, experience-based approach rather than focusing solely on theory."

- Workshop Participant, October 2025

"Must say with the tooling you have, modeling and implementing is so enjoyable, the only thing holding me back is having enough Claude credits!"

- William P., July 2026

Frequently Asked Questions

How long does the program run?

3 weeks, one week per module: Event Modeling, Event Sourcing & Slices, and AI Engineering.

How much time do I need to invest?

The program is specifically designed to be easily doable alongside a normal day job. You get daily tasks you work through on your own time, and at any point you have an expert on hand to answer your questions. Plan for roughly 30 minutes to 2 hours a day - or more if you have the time. The more time you invest, the more outcome you'll get, but the minimum is 30 minutes a day.

What if I can't do something every day?

It's completely up to you - you can do all the exercises in one sitting or spread them across the week. The only hard rule: you need to event model every single day, even if it's just 10 minutes.

What's included?

A 12-month license for the EM-Studio on app.eventmodelers.ai, plus immediate access to the Understanding Eventsourcing course and the Understanding Eventsourcing book.

Do you offer money back?

Yes. You can cancel anytime before the program starts for a full refund, no questions asked.

Is it online?

Yes, the entire program is online, starting with a 3-hour live workshop.

Are live sessions planned?

Yes. The program starts with a 3-hour live kickoff workshop, followed by one 60-minute live call per week where we explain the material in detail and answer questions.

Which tools are used?

We work with the eventmodelers platform at app.eventmodelers.ai. The program includes a 12-month SOLO License to the platform.

Do I need prior experience with Event Sourcing?

No. We start from the fundamentals and build up from there, using a real example from your own work as the running case throughout the program.

How many people are in one cohort?

Max 16, to make sure everyone gets proper guidance and support.

Is there a team or company option?

Yes. The program is also delivered as a tailor-made in-house workshop for your engineering team, calibrated to your own codebase and stack - book a call to discuss.

Ready to Join?

Registration for the October 2026 cohort is now open.

✅ Registration Open

Secure your seat in the October 2026 cohort now.

Register Now

Interested in the Agentic Engineer Program?

Registration for the October 2026 cohort is now open. Secure your spot, or book a call to talk through format, dates, and pricing for your team.

For Individual Developers Register Now
For Teams & Managers Book a Call

Also available as a tailor made workshop format for your engineering team and company - book a call to discuss.