AI Boosts Individual Developer Speed but Can Slow Down Entire Teams

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AI coding tools reliably increase individual developer output, but a 2025 analysis highlights how this does not automatically translate into faster team-wide delivery. Coordination costs — including duplicated work, decision drift, and ownership ambiguity — tend to grow as more code is produced faster by developers who lack visibility into each other's progress. A 2025 study of experienced open-source developers found that AI assistance actually slowed task completion on mature, familiar codebases, suggesting perceived and measured speed can diverge. The 2025 DORA report further characterizes AI as an amplifier that magnifies both an organization's strengths and its existing dysfunctions. Teams are advised to identify which coordination bottleneck is the true ceiling on throughput, rather than focusing solely on making individual contributors faster.

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