Coding Tools
OpenAI Launches Codex for Mobile Devices
Matt Wolfehigh confidence
Why it matters
- →Expands Codex accessibility to mobile devices.
- →Enhances remote work capabilities for developers.
- →Increases flexibility in managing coding projects.
OpenAI has introduced a mobile version of its Codex tool, enabling users to connect their smartphones to their computers via a QR code. This new feature allows users to manage coding tasks, search files, and run queries remotely from their mobile devices. The update enhances the flexibility of Codex, allowing users to monitor and interact with coding projects from anywhere, such as checking progress or answering questions while away from their computers.
Read originalThe story around this
Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
More in Coding Tools
Coding Toolscoding
Claude Code v2.1.323 adds experimental Code Mode and plugin safety
This release quietly introduces Code Mode, an opt-in feature where Claude writes JavaScript to call its own tools, marking a shift toward more autonomous agent-like behavior within the CLI. The update also hardens the plugin ecosystem by enforcing version ranges and adding strict TypeScript type checking for hooks, which should significantly reduce instability from third-party extensions. Beyond these features, the changelog is dominated by critical fixes for authentication drift in background sessions and memory leaks when handling large files, stabilizing the tool for heavy enterprise use.
Claude Code Releases
Coding Toolscoding
llama.cpp b12336 fixes HunyuanVL crash
This release quietly patches a critical memory overflow in the mtmd module that caused crashes when loading HunyuanVL models. The issue stemmed from F64 position embeddings overflowing an F32 buffer, a subtle bug that broke multimodal inference for users relying on this specific architecture. By enforcing strict F32 requirements, llama.cpp stabilizes support for Tencent's vision-language model without adding new features or changing the core API. It’s a necessary maintenance update that keeps local multimodal workflows from breaking unexpectedly.