fraction

The passage around this formula

The variables can diverge because generating a candidate and proving it acceptable are different computations. If candidate patches arrive at rate $\lambda$ while the organization verifies and integrates them at rate $\mu$ , a simplified review queue is stable only when $\rho=\frac{\lambda}{\mu}<1$. Parallel agents raise $\lambda$ . Better tests, automated analysis, proof, risk routing, and reviewer interfaces raise $\mu$ . Lowering model latency alone can make the system slower by overloading its acceptance stage.

Read this part in the article →