Developers ship more quickly and metrics show strong progress, but understanding of what is being built can become less urgent. AI adds confidence that can mask real correctness gaps, making people feel there is no problem even when code fails under conditions that matter. Research found AI-assisted participants produced less secure code while being more confident it was secure. When developers cannot inspect, verify, and reason about generated changes, they are not using a tool but depending on it. Large pull requests become easy to generate with AI, and authors may be unable to explain behavior, especially under load or in edge cases, leading to shipping due to reviewer fatigue rather than readiness.
"A Stanford study on AI-assisted development found that participants using an AI coding assistant wrote significantly less secure code than those who did not, while also being more confident that their code was secure. That is the specific thing AI adds. Not the underlying problem itself, but the feeling that there is no problem."
"The distance between "it seems to work" and "it works correctly when it actually matters" has always existed. AI does not create that gap. It just makes people feel more comfortable standing in it. A weaker developer with a strong AI assistant can produce things they would not have been able to produce before. That can be useful. It can also be risky."
"Because if they cannot inspect, verify, and reason about what was generated, they are not using a tool. They are depending on one. And the system gives them confidence before it gives them evidence."
"I keep a simple rule: no pull request over 300 lines. Not because large PRs are always bad. But a thousand-line review bounces between reviewer and developer until someone gets tired, and eventually something ships not because it is ready, but because the team ran out of energy to push back. Today I regularly see PRs well over a thousand lines, and they are easy to produce."
#ai-assisted-development #software-security #code-review-practices #verification-and-testing #developer-productivity-metrics
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