Cultivating Trust in the Age of AI-Generated Code

As AI coding agents churn out code at unprecedented speed, trust becomes the linchpin of software engineering. This post argues that fostering a culture of accountability—where engineers own what they ship—is essential. It offers practical guidelines: clear coding standards, deterministic tooling, small PRs, hand-written tests, product taste, prototyping, and outcome-focused pragmatism. The author contends that while AI accelerates generation, humans must define quality and ensure reliability.