AI speeds up code, and that creates business risk
GitClear analyzed 211 million lines of code and identified a worrying trend: AI speeds up shipping but increases churn and duplication. In practice, this produces "authorless code": the tests are green and the MR is approved, but when an incident hits, nobody can quickly explain the logic. The answer is not to abandon AI, but to apply stricter review, smaller PRs and tests that check intent.
AI-processed from Habr AI; edited by Hamidun News
Adopting AI assistants in development does speed up code delivery, but research points to an unexpected risk: assistants produce code that formally works but that nobody understands.
How does AI affect code quality?
According to GitClear's 2025 study, code churn (lines rewritten within two weeks of being committed) has doubled since 2021. Meanwhile, refactoring and code reuse have dropped significantly.
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