Models & Labs
GitHub Deprecates GPT-5.2 Models in Copilot
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Why it matters
- →Deprecation of GPT-5.2 models indicates a shift towards newer AI models in GitHub Copilot.
- →Users must adapt their workflows to integrate alternative models, impacting development processes.
- →This move reflects GitHub's commitment to evolving its AI tools for better performance.
GitHub has announced the deprecation of GPT-5.2 and GPT-5.2-Codex models across most Copilot experiences as of June 5, 2026. These models will no longer be available for Copilot Chat, inline edits, and code completions, though they remain accessible for Copilot code review. Users and administrators are advised to update their workflows and enable alternative models through Copilot settings. This change is part of GitHub's strategy to refine its AI offerings and encourage the use of newer models.
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CodeQL 2.25.6 Enhances Swift and C# Support
The latest update to CodeQL, version 2.25.6, brings significant enhancements for developers using Swift and C#. With the addition of support for Swift 6.3.2, developers can now analyze apps built with the latest Swift version. The update also completes full coverage for C# 14 and .NET 10, ensuring that all new language features are supported. Additionally, improvements in sensitive data detection across multiple languages mean more accurate identification of security issues. This release makes CodeQL a more robust tool for developers focused on code security and quality.
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Enterprise-managed plugins in VS Code preview
GitHub has launched a public preview of enterprise-managed plugins for VS Code, enhancing the capabilities of Copilot CLI for enterprise users. This update allows administrators to configure and distribute plugins across their organization, making developer onboarding more efficient and reducing setup time. By defining plugin marketplaces and settings in a centralized file, enterprises can ensure consistent governance and configuration across all users. This move strengthens the integration between VS Code and Copilot CLI, offering a more cohesive and manageable development environment for businesses.
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GitHub Copilot Automates Fixes for Failing Actions
GitHub has enhanced its Copilot service for Pro, Pro+, and Max subscribers by enabling automated fixes for failing Actions. With a single click, users can now delegate the task of resolving workflow failures to Copilot, which operates from a cloud-based environment. This feature allows developers to focus on more critical tasks while Copilot handles routine issues like test failures or linter errors. The integration streamlines the development process, reducing the time spent on troubleshooting and increasing productivity.
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llama.cpp b9534 release enhances Intel Vulkan support
The b9534 release of llama.cpp brings significant improvements for Intel users, notably adding FWHT support in Vulkan with shared memory reduction. This update tackles specific driver issues by disabling features like subgroup shuffle on MoltenVK AMD and the FWHT shader on Intel Windows, ensuring smoother operation. While KleidiAI remains disabled on macOS Apple Silicon, the release continues to refine compatibility with systems such as Ubuntu and Windows. With ROCm 7.2 and CUDA 12 and 13 DLLs included, llama.cpp is steadily optimizing its performance for a variety of hardware setups. These enhancements reflect a focused effort to support diverse computing environments.
llama.cpp Releases
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llama.cpp b9536 release enhances OpenCL and platform support
The b9536 release of llama.cpp significantly boosts OpenCL performance, refining operations like get_rows, cpy, and concat for better efficiency. It now handles multiple workgroups in large rows, optimizing processing capabilities. Although KleidiAI support for macOS Apple Silicon is currently disabled, the release continues to cater to a wide array of platforms, including Windows, Linux, and Android, with specific enhancements for Vulkan and ROCm. These updates make llama.cpp more adaptable and efficient across various hardware setups, though some features remain inactive.
llama.cpp Releases
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llama.cpp b9543 release adds video support
The latest b9543 release of llama.cpp introduces video support for Qwen3.5, marking a significant step in expanding the capabilities of this AI framework. This update also includes support for 'frame merge' in qwen-vl-based models, enhancing the model's ability to handle video data. While the release focuses on technical improvements and bug fixes, it notably broadens the platform's utility by integrating video processing capabilities. This positions llama.cpp as a more versatile tool for developers looking to incorporate video functionalities into their AI applications.
llama.cpp Releases