GitHub has published an evaluation of the Copilot agentic harness, testing performance and efficiency across multiple benchmarks and model options. The post highlights both task results and token efficiency, not just raw benchmark scores.
That matters because agentic coding systems are now judged by cost and reliability as much as whether they can complete a task. A harness that can swap among many models gives teams more room to balance quality, speed, and spend.
The evaluation also shows how AI coding tools are becoming platform layers where model selection is part of the workflow.