Wire · technology
Omni Analytics' Stephanie Jarmak: Swapping the Harness Flipped a Coding Benchmark by 30 Points
◆ Sectors
◆ Geography
◆ Source
◆ Verified
Fusion42 · 24 October 2026 · Fusion42 review
Stephanie Jarmak of Omni Analytics revealed that AI model performance on coding benchmarks can vary by over 30 percentage points depending on the evaluation harness used, cautioning that public leaderboards are unreliable for deployment decisions and urging customised internal benchmarks tailored to specific workloads.
This Wire brief sits within Fusion42's coverage of AI Infrastructure and MLOps.
◆ ◆ The Wire takeaway
You must stop trusting public AI model rankings as final word on performance and build your own benchmarks that match your workload. Switching how you test agents can drastically reverse who leads, exposing overhyped vendors and opening space for customised solutions.
◆ Coverage
1 source · 23 Oct 2026
◆ Related on Wire
◆ Topics