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AI Speeds Up Coding, But Bottlenecks in Review and QA Slow Delivery

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Development teams adopting AI coding assistants are writing code significantly faster, with some reporting implementation time cut by as much as 50%. However, overall feature delivery times are improving far less dramatically, often by only around 10%, because coding is just one stage in a multi-step workflow. Bottlenecks in code review, QA, testing, and release approvals absorb much of the productivity gain, converting it into queue time rather than faster delivery. When developers open pull requests more quickly but reviewer and QA capacity remains unchanged, work simply accumulates downstream. Experts suggest teams should analyse the full delivery pipeline — not just development speed — to identify which stages are now the true limiting factors.

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AI Speeds Up Coding, But Bottlenecks in Review and QA Slow Delivery · ShortSingh