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Latest Issue · No. 5 · October 2026

One Idea. One Paper. Every Month.

A growing series of concept-focused whitepapers on software architecture, event sourcing, APIs, and AI. One email is all it takes – every new issue, and the full archive from day one.

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The Monolith Is the Expensive Option

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The Monolith Is the Expensive Option

No. 5 · October 2026

The Monolith Is the Expensive Option

Monolith or services gets argued as a matter of taste, and it is a matter of cost. The bill arrives years later, in knowledge no market can supply. Operational complexity can be hired, trained, or bought as a service. The complexity that grows inside your domain cannot. This paper is about that asymmetry, and about the decision it puts on your desk.

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Code Is an Implementation Detail

No. 4 · September 2026

Code Is an Implementation Detail

An agent writes code faster than your team can review it, and hiring more reviewers does not fix it. That is the real bottleneck of AI-driven development. The way out is to stop inspecting the code and start specifying the behavior it has to produce. This paper is about how that works, and what it costs.

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Sovereignty Is the Ability to Leave

No. 3 · August 2026

Sovereignty Is the Ability to Leave

Sovereign cloud offerings promise independence, but the label sits on the wrong level: the law follows the provider's corporate parent, not your data's location. Real sovereignty is the ability to leave, and that is decided in your architecture. This paper is about that decision, and why it is yours to make.

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You Don't Even Know Your Most Important Questions Yet

No. 2 · July 2026

You Don't Even Know Your Most Important Questions Yet

One day someone asks what actually happened, and most systems cannot say: they store only the current state and overwrite the rest. Event Sourcing keeps the events as they happen, so the past stays available for audits, analytics, and the questions you cannot foresee. That makes it a decision for technical leadership.

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AI Needs Better Engineers, Not Fewer

No. 1 · June 2026

AI Needs Better Engineers, Not Fewer

Artificial intelligence now writes code faster than any human, and often better. That is not a threat to your engineers. It is a shift in what makes them valuable, and it lands squarely on your desk as a leadership decision. This paper is about that shift, and about the talent choices it forces.

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