"Agoda's observation argues that while AI coding tools have measurably raised individual developer output, the resulting velocity gains at the project level have been surprisingly modest, because coding was never the real bottleneck."
"Research by Faros AI analyzing telemetry from over 10,000 developers found that teams with high AI adoption completed 21% more tasks and merged 98% more pull requests, yet PR review time increased by 91%."
"If the highest-value work becomes collaborative specification and architectural alignment, that logic inverts: communication is no longer the cost to minimize, it is the work itself."
Agoda's observation indicates that while AI coding tools enhance individual productivity, the overall project velocity gains are limited. The real bottleneck has shifted to specification and verification, which necessitate human judgment. This shift suggests a need to restructure engineering teams, emphasizing collaborative specification and architectural alignment over coding. Smaller teams can achieve shared understanding more effectively than larger ones, making communication a central aspect of the work rather than a cost to minimize. The findings align with historical arguments about diminishing returns in software development.
#ai-in-software-development #team-structure #coding-productivity #specification-and-verification #engineering-teams
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