
GitHub has released CodeQL 2.25.5, enhancing the static analysis engine used for code scanning. This update improves query accuracy across C/C++, Java/Kotlin, and GitHub Actions, reducing false positives and expanding detection capabilities. Notably, the update refines the identification of read-only path sinks in Java/Kotlin and adjusts the cpp/cleartext-transmission query for C/C++. GitHub Actions queries now analyze composite action metadata, providing more comprehensive security checks. These improvements are automatically deployed to GitHub code scanning users and will be included in the upcoming GitHub Enterprise Server release.
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Anthropic is tightening control over Claude Code's autonomous behavior with new environment variables that let you disable 'ultrathink' or cap subagent effort levels. For teams, the introduction of pooled group budgets on the gateway allows shared monthly spending limits across members, a practical fix for enterprise cost management. The release also patches critical bugs where shell commands would hang or crash on exit, stabilizing the developer experience significantly.
This release quietly cements llama.cpp as the universal inference runtime by finally bringing ROCm 10.0 to Linux and Windows alongside CUDA 13.4, effectively closing the hardware gap for AMD users who were previously left behind. The inclusion of native Snapdragon support on Linux marks a significant step toward running local LLMs on ARM-based mobile chips without emulation overhead. While KleidiAI on Apple Silicon is disabled in this build, the broader expansion to diverse accelerators ensures that developers aren't locked into NVIDIA ecosystems anymore.
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