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Domain-driven Design

Articles, podcasts, talks, and more about Domain-driven Design.
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What ECST Events, Domain Events, and ECST Really Are

“ECST Event”, “Domain Event”, “ECST”: these terms appear in almost every discussion about Event-Driven Architecture and Domain-Driven Design. Surprisingly often in practice, different people have a different understanding of them.

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Accidental Complexity in the Heart of Software

Domain-Driven Design went mainstream over the last ten years – in parallel with a wave of digitalization and modernization projects. That is not a coincidence. And it explains a lot about why so many of these projects fail to deliver what they promise.

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Hail Mary: Why domain knowledge cannot be extracted from experts

Developing with AI through the cognitive Lens

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From Vibe Coder to Agentic Engineer

I no longer read every line of code that’s produced in my projects. I think most people who work intensively with AI agents feel the same way. When an agent produces a thousand lines in ten minutes, line-by-line review is no longer realistic. At the same time, that code ends up in production, and someone has to take responsibility for it.

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Spec-Driven Development is Domain-Driven Design’s Impatient Cousin

Spec-driven development tools like BMAD promise to fix the requirements bottleneck that agentic development teams face. But is it actually a good fit for your organisation?

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The right size of a Data Product

Autonomous Data Product Heuristics

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Spec-Driven Architecture: When Agents Build, Architecture Must Speak

Spec-Driven Development gives agents a clear foundation for implementation. What it doesn’t solve is how a portfolio of systems stays coherent. Spec-Driven Architecture applies the same principle at the architecture level, using contracts as versioned boundaries and guarantees—enforceable in agentic workflows and in the CI/CD pipeline.

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From Data Graveyards to Knowledge Landscapes

Europe is sitting on a wealth of public data—but much of its potential remains untapped. The challenges are well known: fragmented portals, incompatible interfaces, and growing reliance on non-European platforms that slow innovation. While new industrial data spaces are emerging—enabling secure and sovereign exchange of sensitive information—public and industrial data ecosystems remain largely siloed. This article explores how Artificial Intelligence (AI) and the Model Context Protocol (MCP) can help bridge that gap and accelerate Europe’s shift from Open Data to Open Knowledge—supporting digital sovereignty and delivering greater value to society.

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Socio-Technical Architecture as a Competitive Advantage

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Platforms, Teams, and APIs: How Do They Fit Together?

One of the major trends in recent years has been Platform Engineering, as many organizations strive for more efficient and fasterdevelopment practices. The term has gained traction since 2018, particularly following an influential article by Evan Bottcher. Looking at the origins of this concept provides valuable insights into the relevance of Platform Engineering today and its potential future developments.

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Common Approaches in the Field of Socio-Technical Architectures

In the age of digitalization and modernization, companies face the challenge of not only keeping up with technological advancements but also optimizing their organizational structures. Socio-technical architectures play a crucial role in this process by focusing on the flow of work, team collaboration, and the seamless integration of technical and social systems. This article explores two key approaches—Team Topologies and Domain-Driven Design (DDD)—and demonstrates how they can help organizations take the first steps toward consciously designing their socio-technical architecture.

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Identification of Team Boundaries

How to Identify Boundaries for Autonomous, Cross-Functional Teams

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Compacted State Feeds

Event notification vs. Event-carried State Transfer vs. Delta loads. How to design good event architectures for mutable data?

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Creating data products with Terraform on AWS

Have you heard of data mesh? Are you intrigued by its potential but uncertain how to get started building data mesh and data products? If so, this article outlines a potential approach and delves into the key concepts behind it!

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Data Mesh: Decentralized Data Analytics for Software Engineers

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Data Mesh to Go: How to Get the Data Product

You know what a data mesh is? You understand its basic principles? But you don’t know how on earth to get the data product? Then I will show you how to extract your data product from your Domain-driven Design (DDD) artifacts.

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Is Domain-driven Design overrated?

Domain-driven design (DDD) is a useful approach that provides excellent guidelines for modeling and building systems, but it is a means to an end, not an end in itself. While the concepts are valid, you lose a lot if you limit yourself to using them only: There actually is a life beyond DDD.

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Domain-driven Design in the Large

A Structured Approach to DDD

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Command & Control, SAFe, Domain-driven Design, and Release Trains

Large complex projects are difficult to manage. Software release trains are one solution to coordinate such projects. But the approach is not a great fit for self-organization and modern management ideas.

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Identification of quality requirements with Quality Storming

Quality Storming is a workshop for the identification of quality requirements based on a quality model, for example ISO 25010, using methods and ideas of Collaborative Modeling, which is popular in the Domain-driven Design Community. An important aspect in this context is a cross-collaboration of different stakeholders and skill sets.

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code-your-model

modularized modeling based on a project-specific DSL

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Cooking with Onions: Inward-Pointing Arrows

The onion architecture is an established approach to structuring applications.

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Domain Events vs. Event Sourcing

Why domain events and event sourcing should not be mixed up.

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The language of maths is not the language of your business

News

Agile meets Architecture 2026