AI Boosts Individual Coding Speed but Often Fails to Accelerate Team Output

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AI-assisted development tools are improving individual coding speed, particularly for junior developers, but research suggests overall team throughput frequently rises by less than 10% even when coding efficiency improves by 30–40%. A 2025 study found experienced open-source developers were actually 19% slower on familiar codebases when using AI tools, despite feeling faster. The gains at the coding stage appear to shift bottlenecks downstream to review, testing, and release processes that remain largely manual. AI-generated code has also been linked to higher code churn and nearly three times the vulnerability rate compared to human-written code. Engineering leaders are being urged to measure whole-system flow efficiency rather than isolated productivity metrics to get an accurate picture of AI's true impact.

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