
Grok 4.5, the latest reasoning model from xAI, is now available in GitHub Copilot. This model is designed to handle complex coding tasks with a context window of up to 500,000 tokens and supports both text and image inputs. It has shown strong performance in terminal-based coding tasks, particularly in Visual Studio Code and Copilot CLI. Grok 4.5 is available to various GitHub Copilot plans, including Pro and Enterprise, and requires administrators to enable it in settings. The rollout is gradual, so users should check back if they don't see it immediately.
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GitHub Changelog · August 14, 2026 · Same story
© GitHub ChangelogGitHub finally brings enterprise-grade planning structures to individual developers. Personal repositories now support customizable issue types and fields, allowing solo maintainers to standardize workflows with up to 25 distinct categories. This closes a long-standing gap where only organizations could enforce structured data schemas for bug tracking and feature management. The move signals that GitHub is treating personal open-source projects with the same operational seriousness as corporate codebases.
© GitHub ChangelogThis release quietly closes the hardware gap for local inference by adding default support for CUDA 13 and ROCm 10.0 across Linux and Windows. Users with newer NVIDIA GPUs or AMD accelerators no longer need to compile from source to get performance, while Apple Silicon builds now ship KleidiAI disabled by default, shifting the focus back to standard ARM optimizations. The inclusion of Snapdragon support for Linux and Android marks a significant step toward on-device AI beyond the x86/ARM desktop ecosystem. It is less about new features and more about ensuring llama.cpp remains the universal runtime for every available accelerator.
Speculative decoding just got a significant speed boost on NVIDIA GPUs. This release introduces a specialized kernel for 'few-row' matrix multiplications, targeting the small batch sizes typical of verification passes in speculative decoding workflows. By optimizing these specific operations for quantized formats like Q8_0 and IQ4 variants, llama.cpp reduces latency where it matters most during token generation. The change is CUDA-only for now but leverages hardware capabilities from Ampere onwards, making local inference faster without requiring new model architectures or complex configuration changes.
GitHub Changelog · September 21, 2026 · Same story
GitHub finally lets automation control who gets Copilot access. By adding an Enterprise Copilot license management permission, apps can now assign and revoke seats programmatically across enterprise teams. This closes the loop on automated provisioning workflows that were previously blocked by API limitations. It shifts seat management from manual admin tasks to code-driven policy enforcement.