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A Harvard study found that AI coding agents increased code volume but did not improve overall software output because human code review became a bottleneck Research publication
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TLDRocket
9 October 2026
The biggest thread today isn’t model releases—it’s documentation becoming operational infrastructure as AI agents start treating web content as gospel. MIT researchers and an author point out that agents make far more retrieval requests than humans browse: in August, they logged 257 million documentation requests versus 131 million human page loads. The result is predictable but nasty—agents can repeat outdated or contradictory passages because they assume retrieved text is authoritative. That frames documentation work the way IT has always treated databases: sources of truth, monitoring, structured retrieval, and explicit decisions about what the system should believe when answers conflict.
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