GitHub has introduced a context-aware secret classifier that distinguishes real credentials from similar false positives via a two-stage pipeline (regex candidate generation plus fine-tuned ModernBERT classification). Compared with its previous LLM-based pipeline, weighted alert precision improved 11.5%, median post-push scan execution time dropped 86%, and service costs were cut by more than 98%.
GitHub released the Copilot app for Beginners tutorial series, covering four ways to give Copilot project context, including .github/copilot-instructions.md custom instructions.
Why it matters: GitHub's official tutorial lays out four mechanisms for giving Copilot project context and when to use each, so readers can combine them as needed in their own repos.
GitHub has released ReviewBench, an open offline benchmark for evaluating AI code review agents. The benchmark is modeled on the distribution of 103.9 million GitHub pull requests.
GitHub launched Project HydraFusion in research preview on GitHub Copilot CLI, using runtime multi-model orchestration to select among three execution modes — Single, Cascade, and Critique — per task, and calling models across vendors to draft, review, revise, or upgrade.
Why it matters: The article details the three execution modes, concrete benchmark comparisons, and how to get access, helping readers evaluate multi-model orchestration's impact on the cost and quality of their coding workflows.