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I write about Java, software architecture, design patterns, applied artificial intelligence, RAG, AI agents and software engineering. Through my articles, I share feedback, technical analyzes and concrete approaches to design robust, maintainable and useful applications.

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Architecting an Industrial AI Platform: Decoupling Capabilities from Their Implementations, Governing Interactions, Staying in Control

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Architecting an Industrial AI Platform: Decoupling Capabilities from Their Implementations, Governing Interactions, Staying in Control

How do you design a multi-tenant, decoupled, and governed AI platform? An architectural reflection on the runtime, adapters, isolation, sovereignty, resilience, observability, and traceability.

software-architecturellmai-platform

August 14, 202616 min

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Behavioral Surfaces

August 12, 202612 min

Behavioral Surfaces

Map the areas where an LLM system's behavior can vary, drift, or regress so that it can be observed, tested, and governed more effectively.

llmobservabilityai-governance

Decision Trajectory

August 11, 202619 min

Decision Trajectory

Reconstruct the path followed by an LLM system to understand, compare, and govern its decisions. Why two similar responses can mask fundamentally different behaviors.

llmobservabilityai-governance

Observe Before Optimizing

July 25, 202620 min

Observe Before Optimizing

Before optimizing an LLM system, you need to make its decision chain visible so you can understand what it actually does beyond the displayed answer.

llmobservabilityai-governance

Freezing the Behavior of an LLM System Before Evolving It

July 21, 202613 min

Freezing the Behavior of an LLM System Before Evolving It

Changing the model is not enough to guarantee behavioral stability. Characterization tests help protect business invariants and govern the evolution of LLM systems.

llmgenerative-aisoftware-architecture

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