Unverified AI-generated code accumulates technical debt faster, experts warn

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An opinion piece argues that teams adopting AI coding tools without changing their verification practices have not gained speed but have instead accumulated hidden risk. As AI has shrunk the time needed to write code, the bottleneck has shifted to confirming that the code actually works. The author cites Google's DORA 2024 report, which linked greater AI adoption to gains in code quality and review speed but to lower delivery throughput and stability. A Stack Overflow 2025 survey found that developers most often complained about AI output that is nearly correct but flawed, and that more of them distrust it than trust it. The piece also points to a 2025 METR trial in which experienced developers were slower with AI tools while believing they were faster, and it notes that METR has since said those results are outdated. Tests are presented as a way to define expected behavior, give agents a clear stopping point, and lock in verified behavior.

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