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Ramp SWE-Bench
Ramp has published a private benchmark consisting of 80 real-world production backend tasks to evaluate AI models without the risk of public data contamination.
What: The suite measures performance across treasury, accounting, and payments codebases by tracking whether AI-generated patches pass automated tests within 45 minutes.
Why it matters: Public benchmarks like SWE-bench are increasingly subject to training data leakage; private, production-grade benchmarks provide a more reliable signal for actual engineering utility.
Original article
Ramp built a private benchmark from 80 production backend tasks spanning payments, accounting, procurement, treasury, and fraud. It scores review-ready patches that pass tests within 45 minutes, exposing model trade-offs across accuracy, latency, and cost without public-benchmark contamination.
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