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Cognition to tie Devin usage limits to engineers' AI efficiency

AI summary

To rein in AI spending, large companies are capping employee usage, switching to cheaper smaller models and using routers to send only the hardest requests to the most expensive models. Cognition told The Information exclusively that it is adding a feature that analyzes an engineer's coding session in Devin, estimates the equivalent human hours the work would have taken, and divides by the session's cost to produce an efficiency measure — so companies can steer more resources to their most efficient employees. Calvin Giroud, a Cognition vice president of customer engineering, said user limits should not be static but dynamic based on usage efficiency and the value obtained.

In-depth insight

Under this approach, AI budgets would depend on measured output per dollar rather than flat per-user caps alone, adding to the capping and model-routing tactics the report describes companies already using.

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