AI Testing & Quality Architecture
Testing systems, agent-maintainable architecture, code quality, technical debt, and the engineering controls required when AI can generate software faster than teams can review it.
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Stop Reviewing Code. Start Proving It Works. My Take on AI in the Quality Process of Software.
Executive Deck ↗Exec summary ↗Listen ↗Code review was supposed to be about rigor. It became a rubber stamp. AI review will not fix it. What fixes it is building systems that prove correctness. Continuous delivery, not ceremony.
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Your Codebase Is Not Agent-Maintainable and That Is Your Next Big Problem
Executive Deck ↗Exec summary ↗Listen ↗Mike spent three weeks trying to get AI agents to maintain his Flink pipeline. The agents were not the problem. The code was not agent-maintainable. This is a new standard, and your codebase probably fails it.
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Everything You Learned About the Testing Pyramid Was Based on a Constraint That No Longer Exists
Executive Deck ↗Exec summary ↗Listen ↗The Testing Pyramid was never a technical ideal. It was a financial compromise based on the cost of human capital. In an agent-driven world, that constraint disappears and the pyramid becomes a square. Equal investment across every test type. Maximum risk buydown. No excuses.
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AI Will Not Save Your Monolith. These Three Things Might.
Executive Deck ↗Exec summary ↗Listen ↗Every executive wants AI to magically modernize their 10 million line monolith. It won’t. Here’s what you actually need, and why you’ve been asking the wrong question for the last two years.
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You Added AI. Congratulations, You Now Run a Slop Factory.
Executive Deck ↗Exec summary ↗Listen ↗You gave your engineers AI tools and skipped the governance conversation. Now your PRs are tripling, your review queue is drowning, and nobody can tell the good code from the generated garbage. You did not adopt AI. You built a slop factory.
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Your AI Agent is the World’s Most Educated Five-Year-Old
Executive Deck ↗Exec summary ↗Listen ↗Your AI agent has the world’s knowledge but the judgment of a five-year-old. Learn to work with it like the brilliant but inexperienced junior it is.
