
GitHub has announced the general availability of AI Scan for pull requests, expanding its code security capabilities beyond traditional static analysis. The tool specifically targets languages and frameworks not covered by CodeQL, including PHP, Shell/Bash, Terraform (HCL), Dockerfiles, JSP, and Blazor. Findings appear alongside CodeQL results with an 'AI' indicator and include risk explanations and suggested autofixes, though they remain advisory and do not block merges. The feature consumes Code Security AI Credits and requires GitHub Code Security or Advanced Security for private repositories.
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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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GitHub adds AI Scan security metrics
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