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Most experienced developers don’t trust AI-generated code, and for good reason. While AI can produce code faster than ever, reliability remains a significant concern. I found this reinforced by a statistic showing that trust in AI coding tools plummeted to just 33% from over 70% in two years. The surprising truth is this steep decline isn’t as straightforward as claimed; two different surveys muddled the context to create a concerning narrative. The actual situation reflects a common experience—AI often generates code faster than we can properly verify it. I observed this gap leading many senior engineers to avoid using AI for crucial tasks, instead relying on it for less critical processes like unit tests. The solution isn’t just adopting better testing tools, but also reintroducing quality engineering practices that can harness AI’s strengths while ensuring code integrity.
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