"Generative AI removes the natural constraint that expensive engineers imposed on software development. When building costs almost nothing, the question shifts from "can we build it?" to "should we build it?" The Agile Manifesto's principles provide the discipline that these costs are used to enforce. Ignore them at your peril when Ralph Wiggum meets Agile. The Nonsense About AI and Agile Your LinkedIn feed is full of confident nonsense about Scrum and AI."
"For decades, software development had a natural constraint: engineers were expensive. A team of five developers costs $750,000 or more annually, fully loaded. That expense imposed discipline. You could not afford to build the wrong thing. Every feature required justification. Every iteration demanded focus. The cost was a gate. It forced product decisions. Generative AI removes that gate. Code generation approaches zero marginal cost. Tools like Cursor, Claude, and Codex produce working code in minutes. Vibe coding turns product ideas into functioning prototypes before lunch."
Generative AI is driving the marginal cost of producing working software toward zero, removing the historical financial constraint that forced careful prioritization. Expensive engineering labor previously acted as a gate, enforcing justification for each feature and focus within iterations. Two faulty reactions emerge: faddish vendors layering "AI-powered" onto Scrum practices, and advocates claiming Scrum obsolete because autonomous agents can generate code at zero cost. Both reactions misunderstand the source of discipline. Agile Manifesto principles supply intention, feedback, and limits that substitute for the lost cost gate. Teams must deliberately apply Agile values and product judgment to decide what should be built.
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