AIMacroscope publishes code-review benchmark results on MacroscopeBench
The Macroscope team says it spent over a year building a benchmark, evaluations and a dataset to understand tradeoffs in code-review model performance.
TLDR
The Macroscope team announced that its benchmark results are now public on MacroscopeBench. It says the work examines tradeoffs between recall, precision, latency, cost and the severity of bugs each model catches, with the goal of improving its code-review product and letting others benefit from the results.
Macroscope publishes code-review benchmark results on MacroscopeBench
The Macroscope team says it spent over a year building a benchmark, evaluations and a dataset to understand tradeoffs in code-review model performance.
TLDR
The Macroscope team announced that its benchmark results are now public on MacroscopeBench. It says the work examines tradeoffs between recall, precision, latency, cost and the severity of bugs each model catches, with the goal of improving its code-review product and letting others benefit from the results.
