AI Demands More Engineering Discipline, Not Less
O'Reilly Radar, Monday, July 27th, 2026
AI-generated code demands stronger engineering practices, not weaker ones, as code becomes a disposable artifact.
Charity Majors argues that 2025's breakthrough in AI code generation-making AI approximately as capable as median software engineers-fundamentally changes how we should approach software development.
Rather than abandoning engineering rigor, she contends that nondeterministic systems require increased discipline through better testing, observability, and specifications.
Drawing parallels to the shift from handcrafted servers to immutable infrastructure, Majors suggests code should be treated as regenerable materialized views rather than precious artifacts, freeing engineers to focus on higher-value concerns like architecture, user outcomes, and system durability.