architecture
5 articles, most recent first.
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The Symbolic Layer Before the Spec: What Ontologies Teach the AI-SDLC
A few days ago, I published Product Definition as Code for the AI-SDLC and ProductShape, its reference implementation.
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Product Definition as Code for the AI-SDLC
Lately, I have been working as a FDE (Forward Development Engineer) at Plain Concepts, helping different clients introduce AI into their software development lifecycle. AI-SDLC and Spec-Driven Development are my two main areas of focus and I have been thinking a lot about the implications of AI-assisted development on the software lifecycle in many environments, with many tools, with different workflows in many different scenarios...
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What DevEx Means in 2026
Over the last months I have been working with many organizations navigating the shift toward AI-assisted development. The conversations always converge on the same topics. Software engineers and leadership teams already understand that the software delivery model is changing, yet most organizations are still focused on the wrong question.
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The Missing Standard Behind AI-Assisted Development
Over the last months I have been helping engineering organizations move their software delivery lifecycle toward AI-assisted development.
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Multi-Agent AI Repository Architecture: The Canonical Semantic Layer
A Git repository used to serve humans, build systems, and CI/CD pipelines but today it also serves AI-tooling and Harnesses like Claude Code, GitHub Copilot, OpenAI Codex, OpenCode, Cursor, Aider, Gemini CLI, and whatever comes next.
