the frequency of changes in tech is invalidating our understanding :: Ryan Prior — dot com

Guido van Rossum’s “code is read many more times than it’s written” norm is breaking down as AI-driven product organizations push change rates past the Nyquist limit, the sampling-theorem threshold beyond which signals can no longer be reliably detected or acted on. A colleague at a multi-billion-dollar tech unicorn described the industry as literally disrupted by AI, with incumbents and startups alike behaving like startups. Anecdotes from hyperscaler whisper networks describe teams “YOLOing in prod,” daily bugs and security issues, and hot fixes that introduce further bugs. The result is deployments that each behave like a unique “haunted cemetery pet” while engineers feel too precarious to advocate slowing down. The piece matters because it reframes release velocity as a signal-processing problem: past the Nyquist limit, organizations lose coherent understanding of their own software. Watch whether engineering leaders begin treating change rate as a sampling constraint—throttling deployments or adding read-and-verify capacity—rather than a metric to maximize.