Daily DevOps & .NET - Where Code Meets Culture

Kubernetes Is Not a Platform Strategy

Published on 1/13/26 5:00 pm by Martin Stühmer

Kubernetes has become an assumed default in many organizations, positioned as a universal platform that absorbs governance, security, observability, and operational responsibility. This narrative is incomplete. Kubernetes is a powerful runtime orchestrator that solves one phase of the software lifecycle. Architectural risk, cost decisions, and operational failure occur elsewhere. A critical examination of where Kubernetes’s responsibility ends, and what remains the architect’s job.

Kehrwoche: What Swabian Cleaning Teaches About Technical Debt

Published on 1/9/26 11:00 am by Martin Stühmer

Kehrwoche—a Swabian cleaning tradition—is scarier than breaking the build on Friday afternoon. At least the build doesn’t remember next Tuesday. Mrs. Schmid from the second floor does, and she remembers well. What does a weekly cleaning schedule in southern Germany have to do with technical debt? More than most software teams want to admit.

Alphabet Soup: The Format Buffet Nobody Ordered

Published on 1/8/26 5:00 pm by Martin Stühmer

Developers wanted one format. We got twenty. CSV mangles data, XML drowns in tags, JSON forbids comments, YAML punishes spaces. TOML tried fixing it. TAML went minimal. TOON optimized for AI. CCL brought category theory. Result? Five formats per project, three parsers, and debugging why NO became false. AI can’t save us either. Welcome to format hell.

Why Real Professionals Will Never Be Replaced by AI

Published on 1/6/26 5:00 pm by Martin Stühmer

The elephant everyone ignores: AI can generate code faster than you can type. GitHub Copilot autocompletes entire functions. ChatGPT builds APIs from prompts. Typing is dead. So why will real professionals never be replaced? Because “vibe coding”—describe what you want, ship what AI generates—is a productivity illusion that collapses spectacularly in production. When code generation becomes trivial, understanding what that code costs, where it fails, why it breaks under load becomes everything. AI generates syntax. Professionals understand execution, failure modes, operational cost, and production consequences. The differentiator isn’t typing speed—it’s mastering the feedback loop: write code, watch it fail, understand why, refine thinking. This discipline can’t be automated. Prompt engineers generate code. Real professionals ensure it survives contact with reality.

Most Software Teams Are Lying to Themselves—2026 Needs to Be Different

Published on 1/1/26 2:00 pm by Martin Stühmer

Happy New Year 2026! 🎉

Fix one piece of technical debt this week—not next quarter. .NET 10, analyzers, and tests are ready; discipline is the only missing part.