AI demands more engineering discipline. Not less

As AI-generated code quality crossed a threshold in late 2025 with models like Opus 4.5 and agentic harnesses becoming viable, skepticism about AI capabilities is becoming untenable—similar to how the industry adapted from handcrafted servers to immutable infrastructure. The author argues that reliability engineers must now embrace engineering discipline around AI validation and harness engineering rather than dismissing AI progress, as the exponential improvement curve is real and moving faster than most anticipated.

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