Anthropic has released Claude Code v2.1.280, updating the default Opus model to version 5.5 with a 1M context window and a pricing structure of $4/$20 per million tokens. The update addresses several stability issues in background subagents, specifically fixing prompt cache misses caused by tool list rebuilding and preventing lost reports during conversation compaction. UI improvements include mouse wheel support for fullscreen lists and fixes for Windows terminal character rendering and keyboard shortcuts. Additional patches resolve API errors related to proxy gateways and fix crashes associated with malformed session histories.
Read originalEarlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
Claude Code Releases · July 25, 2026 · Same story
Claude Code Releases · September 16, 2026 · Same story
This release finally brings proper asynchronous handling to Model Context Protocol tasks, allowing Claude Code to offload long-running tool calls to the background instead of blocking the main thread. For enterprise users, the new pooled budget rules and JSON logging make the Claude apps gateway significantly more manageable for large teams. The update also tightens error reporting in auto mode, ensuring developers get clear reasons when actions are denied rather than silent failures. It’s a pragmatic patch that improves reliability for complex agent workflows.
This release is a massive stability patch for Claude Code, addressing dozens of edge cases that previously broke workflows on network drives or during cloud session restarts. The most significant fix resolves a regression where sessions would lose conversation history after tool call retries, a major pain point for complex coding tasks. It also improves reliability for background subagents and fixes authentication token handling on shared home directories, making the CLI far more robust for enterprise and team environments.
This release quietly patches a gap in llama.cpp's OpenCL backend by adding support for the 'repeat' operation across f16, i32, i16, and bf16 types. For users relying on AMD or Intel GPUs via OpenCL rather than Vulkan or ROCm, this means fewer fallbacks to slower CPU execution for models that use these tensor operations. It’s a targeted fix that improves stability and performance on non-NVIDIA hardware without changing the core inference engine. The update also includes standard binaries for CUDA 13 and ROCm 10.0, keeping the stack current with latest driver ecosystems.
This release quietly closes the hardware gap for non-NVIDIA users by adding default support for ROCm 10.0 on both Linux and Windows, allowing AMD GPU owners to run local models without complex configuration. It also brings CUDA 13.5 builds to Ubuntu and Windows, future-proofing the toolchain for newer NVIDIA architectures while maintaining backward compatibility with CUDA 12. Apple Silicon KleidiAI is disabled in this build, a notable regression for Mac users who rely on that specific optimization. The update solidifies llama.cpp's position as the most versatile inference runtime available, covering everything from Snapdragon NPUs to Intel Arc via SYCL.