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[ARTICLE · art-40124] src=letsdatascience.com ↗ pub= topic=ai-tools verified=true sentiment=↑ positive

GitHub evaluates Copilot agentic harness performance

GitHub announced two harness-level improvements to Copilot agentic sessions—prompt caching achieving 94% cache hit rates and deferred tool loading—plus a new Auto model selection feature using its HyDRA routing model. On SWE-bench, HyDRA matches OpenRouter Auto at 70.8% resolution while delivering 3.3x cost savings. Auto is live in VS Code, github.com, and mobile, with expansion to Copilot CLI and the GitHub App planned.

read1 min views1 publishedJun 25, 2026

Per a June 17, 2026 GitHub engineering blog post, GitHub Copilot received two harness-level improvements to reduce token consumption in agentic sessions. GitHub VP of Product Joe Binder describes extended prompt caching -- achieving roughly 94% cache hit rates for Anthropic-backed models in VS Code -- and **deferred tool ** via a new 'tool search' mechanism that loads tool definitions on demand rather than sending every schema on each turn, cutting token overhead as tool sets grow. A second theme is Auto model selection: GitHub's internal HyDRA routing model picks the best-fit model per task using real-time health signals and task complexity. On SWE-bench, HyDRA's conservative operating point matches OpenRouter Auto at a 70.8% resolution rate while delivering 3.3x the cost savings. Per the post, Auto is already live in VS Code, github.com, and mobile, with expansion to Copilot CLI and the GitHub App planned.

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