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Published equation contexts

L=λWL=\lambda W

Why this formula appears here

Little’s Law states L=λWL=\lambda W. where L is average work in progress, λ\lambda throughput, and W cycle time. Adding agent concurrency can increase candidate arrival rate λg\lambda_g without increasing review service rate μr\mu_r . When λg\lambda_g≥\geμr\mu_r , the review queue grows and cycle time worsens.

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Published contexts (1)

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L=λW,L=\lambda W,

Equation 24 · AI Industry

The Economics of Codex: Tokens, Sandboxes, Review Time, and Software Throughput

This equation states an equality: the expressions on both sides have the same value under the article’s assumptions.

Little’s Law states L=λWL=\lambda W. where L is average work in progress, λ\lambda throughput, and W cycle time. Adding agent concurrency can increase candidate arrival rate λg\lambda_g without increasing review service rate μr\mu_r . When λg\lambda_g≥\geμr\mu_r , the review queue grows and cycle time worsens.

Meanings in this article

  • LL: average work in progress, λ\lambda throughput, and W cycle time.
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