Claude Code has released version 2.1.160, bringing a host of improvements and bug fixes. Key updates include prompts before modifying shell startup and build-tool configuration files, which help prevent unintended command execution. The update also resolves issues with Windows clipboard functionality and session management in background agents. These enhancements aim to improve the overall reliability and usability of the platform for developers.
Read originalThe latest update to Claude Code, version 2.1.157, introduces several enhancements and fixes that streamline plugin management and improve user experience. Notably, plugins in the .claude/skills directories are now automatically loaded, eliminating the need for a marketplace. The update also adds autocomplete for plugin arguments and honors theagent field in settings.json for dispatched sessions. Additionally, various bug fixes enhance stability, such as resolving issues with unprocessable images and improving performance in long conversations. These changes make Claude Code more efficient and user-friendly for developers.
Claude Code's latest update, v2.1.158, introduces Auto mode for Bedrock, Vertex, and Foundry platforms, specifically for Opus 4.7 and 4.8. This feature can be activated by setting the environment variable CLAUDE_CODE_ENABLE_AUTO_MODE to 1. The addition of Auto mode aims to streamline processes and enhance user experience across these platforms. While the update doesn't introduce groundbreaking changes, it offers a practical enhancement for developers working with these specific versions.
© GitHub ChangelogGitHub has enhanced its Copilot usage metrics API by introducing AI adoption phases, allowing enterprises to better understand how users engage with Copilot. This new feature classifies users into four phases based on their interaction with Copilot over a 28-day period, providing insights into their adoption journey. The API now includes a field for ai_adoption_phase, offering detailed metrics at both user and organizational levels. This development enables enterprises to tailor training and support efforts, focusing on phases with the most potential for growth. By moving beyond simple active-user counts, organizations can now track user progression and optimize Copilot adoption strategies.
© Lev SelectorCursor has launched its Composer 2.5 model, aimed at improving coding efficiency.
Braintrust engineers are now using Codex, integrated with GPT-5.5, to enhance their coding efficiency and experiment execution. This integration allows them to swiftly convert customer requests into functional code, significantly reducing manual coding time. By adopting Codex, Braintrust can focus more on complex problem-solving rather than routine coding tasks. This approach exemplifies the increasing adoption of AI-assisted coding, which is set to boost productivity and drive innovation in software development. The shift towards AI tools in coding is reshaping how engineers approach their work, offering new possibilities for efficiency and creativity.