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Cognition Estimates Engineering Hours Saved by Its Devin Coding Agent

Estimating the Productivity of an Autonomous AI Software Engineer

AISummary

Cognition built an automated agent that classifies Devin sessions as productive and estimates the human engineering hours each one would have taken. On 233 held-out sessions the estimator reached an rlog of 0.74, with individual errors often 2 to 3 times in either direction but roughly unbiased in aggregate. The system is calibrated to underestimate and is currently running with Devin customers.

AIWhy it matters

The post shows how the measurement design, from hours-based metrics to conservative calibration, determines whether agent productivity estimates can be trusted in aggregate.

Read the original cognition.com

Source: Cognition Blog (Devin, Windsurf) · cognition.com