llama.cpp has released version b11050, adding pre-compiled binaries for CUDA 13 and ROCm 10.0 on Linux and Windows. The update also includes builds for OpenVINO and SYCL, expanding support for Intel and other accelerators. Apple Silicon builds are available, but KleidiAI optimizations have been disabled in this release. The update ensures compatibility with the latest GPU driver stacks without requiring manual compilation.
Read originalThis release quietly extends llama.cpp's hardware support to the latest NVIDIA and AMD driver stacks. By shipping native binaries for CUDA 13 and ROCm 10, it removes the friction of manual compilation for users on bleeding-edge GPUs. Apple Silicon KleidiAI is explicitly disabled here, a deliberate choice that likely prioritizes stability over new acceleration features for this specific build. The real value lies in the breadth: with Vulkan, OpenVINO, and SYCL options across Linux and Windows, it remains the most versatile local inference runtime available. Users on newer hardware can finally run pre-built binaries without hunting for custom compile flags.
Qualcomm Hexagon DSP users finally get TOP_K sampling in llama.cpp, closing a functional gap for local inference on Snapdragon devices. This release also bumps CUDA and ROCm versions, keeping the runtime compatible with the latest NVIDIA and AMD drivers without requiring manual compilation flags. It’s a quiet but necessary update that ensures mobile AI workloads don’t fall behind desktop capabilities. The focus remains on stability and hardware parity rather than new model architectures.
This release quietly extends llama.cpp's hardware support to the latest NVIDIA and AMD stacks. By shipping native binaries for CUDA 13 and ROCm 10, it ensures compatibility with newer GPU architectures without requiring users to compile from source. The inclusion of both CUDA versions side-by-side is a pragmatic move for developers managing mixed environments. While no new model optimizations are highlighted, this update keeps the runtime relevant as hardware vendors push their latest drivers.
This release stabilizes Claude Code by patching a cascade of crashes and session hangs that plagued recent versions. The most notable functional shift is the fallback to AGENTS.md when CLAUDE.md is absent, aligning with broader industry standards for agent configuration. Gateway improvements allow better proxy handling for egress-bound environments, while numerous fixes address edge cases in file editing, plugin management, and resume functionality. It’s a maintenance-heavy update that restores reliability rather than introducing new capabilities.
Anthropic quietly fixed a cost leak in Claude Code’s auto mode. By defaulting to the server-side classifier for API and enterprise users, the update eliminates charges for classifier overhead that previously bled into session costs. This shift means developers no longer pay double for the same logic, while still retaining the ability to opt out via environment variables if needed. The change is a subtle but necessary correction to pricing transparency in automated coding workflows.
© GitHub ChangelogGitHub Copilot’s code review tool has reached general availability, shifting from experimental to a core part of the pull request workflow. The biggest leap is auto-resolution: Copilot now validates whether its own suggestions were actually fixed by subsequent commits and closes them out automatically, saving developers from manual cleanup. It also groups findings into clear states like 'Resolved' or 'Previously missed,' giving a real-time health check of the PR rather than just a static list of errors. This reduces context switching significantly, letting engineers focus on new issues while the AI handles the administrative burden of closing old ones.