Models & Labs
Claude Opus 4.8 now in GitHub Copilot
GitHub Changeloghigh confidence
Why it matters
- →Claude Opus 4.8 enhances code understanding and generation, improving developer productivity.
- →The model's ability to handle complex problems and large codebases is a significant advancement.
- →Its integration into GitHub Copilot across multiple platforms broadens accessibility for developers.
Anthropic's Claude Opus 4.8 model is now available in GitHub Copilot, offering improved code understanding and generation capabilities. This model is particularly adept at handling complex problem-solving and navigating large codebases. It is accessible to Copilot Pro+, Business, and Enterprise users across multiple platforms such as Visual Studio Code and JetBrains. The rollout will be gradual, and users are encouraged to check back if they don't see it immediately. This integration aims to enhance the coding experience for developers using GitHub Copilot.
Read originalMore from GitHub Changelog
© GitHub ChangelogMarket & Regulationbusiness
GitHub Adds Hard Budget Limits for Advanced Security
GitHub has introduced hard budget limits for its Advanced Security offerings, allowing enterprise administrators to prevent overspending by blocking additional license usage once a set threshold is reached. This new feature replaces the previous soft budget system, which only provided notifications without enforcing limits. The change offers enterprises greater control over their security spending, ensuring that budgets are not exceeded during processes like user onboarding. This update is particularly beneficial for organizations looking to manage costs more effectively while maintaining security standards.
GitHub Changelog
© GitHub ChangelogCoding Toolscoding
CodeQL 2.25.5 Enhances Query Accuracy
The latest update to CodeQL, version 2.25.5, brings notable improvements in query accuracy for C/C++, Java/Kotlin, and GitHub Actions. This release reduces false positives by refining how read-only path sinks are identified in Java/Kotlin and by adjusting the cpp/cleartext-transmission query for C/C++. Additionally, GitHub Actions queries now offer more comprehensive detection by analyzing composite action metadata. These enhancements make CodeQL a more precise tool for developers using GitHub code scanning, ensuring better security issue detection and remediation.
GitHub Changelog
© GitHub ChangelogCoding Toolscoding
GitHub Copilot Memory Enhances Control Features
GitHub's Copilot Memory is refining its control features, offering users more precise management over memory deletion and scope. With a new repository-level off switch, admins can now disable Copilot Memory for specific repositories, ensuring repository-level facts are not stored or read. The Copilot CLI has been updated to allow users to enable or disable memory and check its status with simple commands. These enhancements aim to give users and admins greater control over how Copilot Memory functions, making it more adaptable to individual and organizational needs.
GitHub Changelog
More in Models & Labs
Models & Labsmodels
vLLM v0.20.2 Patch Release
The vLLM v0.20.2 release is a minor update focusing on bug fixes for DeepSeek V4, gpt-oss, and Qwen3-VL. This patch addresses specific issues such as the MTP=1 hang on DeepSeek V4 by re-enabling the persistent topk path and fixing a KV cache allocation error. For gpt-oss, the update ensures compatibility with MXFP4 under torch.compile, while Qwen3-VL sees the removal of an invalid boundary check. These fixes enhance the stability and performance of the models, ensuring smoother operations under various conditions.
vLLM Releases
Models & Labsmodels
Llama.cpp b9387 Release Enhances AMD MFMA Performance
The latest b9387 release of llama.cpp introduces significant performance improvements for AMD MFMA hardware, particularly in quantized matrix multiplication. By optimizing the batch threshold logic, the update allows for more efficient processing, with throughput gains of up to 76% in certain configurations. This release is particularly relevant for users leveraging AMD's MI250X hardware, as it fine-tunes the kernel selection logic to maximize performance. While the update doesn't introduce new models, it significantly enhances the efficiency of existing operations on specific hardware, making it a noteworthy development for those using AMD GPUs.
llama.cpp Releases
Models & Labsmodels
llama.cpp b9388 release enhances Turing support
The latest b9388 release of llama.cpp introduces optimizations for Turing architecture, specifically adding MMVQ_PARAMETERS_TURING to improve JIT compilation for SM75 Turing devices. This update aims to prevent mismatches when compiling Turing device code on Ampere or newer architectures. While the release doesn't introduce new models or quantization methods, it continues to expand platform support, including updates for macOS, Linux, and Windows. The focus remains on refining compatibility and performance across diverse hardware configurations, making llama.cpp a more versatile tool for developers.
llama.cpp Releases