Eight Times More Code, Eight Times More Bugs?
With AI, we ship far more code. Should we accept far more bugs in return? No: quality isn't a function of how much you produce, it's a property of what you ship.
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AI, in practice.
Analysis, field experience and methods for building software with artificial intelligence.
That's So February 2026
In a world where AI redefines our practices every week, what was innovative two months ago is already outdated. Our approaches, tools, and instincts must evolve at the same pace — and the people best equipped to help us stay on course aren't always who you'd expect.
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Organizational Strategies for AI-Assisted Development
AI requires complete organizational transformation, not simple tool adoption. Organizations that succeed transform structure, processes, and culture to maximize sustainable ROI of 200-400%.
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Technical Debt in the AI Era: The Speed Trap
AI generates locally consistent code but can create global architectural chaos. Paradox: it's also the most powerful tool for rapid refactoring. Organizations that exploit AI bidirectionally (generation AND remediation) maintain sustainable velocity.
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From Specialist to T-shaped: Forced Skill Expansion
AI destroys the narrow specialization model by transforming the T-shaped developer from an aspirational concept to an operational necessity. The role shifts from execution to orchestration.
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Not All Bugs Are Equal - What AI Really Changes
AI generates 1.7x more bugs than humans, but these bugs are fundamentally different. This distinction changes the conversation about code quality and forces a transformation in development processes.
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AI Amplifies Developers - But Amplifies What Exactly?
AI promises spectacular productivity gains, but reality is more nuanced. Amplification exists and transforms the profession more than it accelerates it, requiring more judgment, rigor, and diverse skills.
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