
Slack has launched Slack Code, a feature that integrates coding agents into shared channels, enabling collaborative software development. This allows team members, both technical and non-technical, to participate in coding sessions directly within Slack. AI agents such as ChatGPT and GitHub can be added to these channels, facilitating real-time collaboration and oversight. The feature is available across all Slack plans, aiming to make Slack a central platform for AI-human collaboration in coding projects.
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Slack introduces collaborative vibe-coding channels
5 developments
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© GitHub ChangelogGitHub is replacing its regex-based secret scanning with a purpose-built AI model that understands code context to catch unstructured credentials like passwords without standard token formats. This shift moves security from pattern matching to semantic understanding, catching leaks that traditional tools miss before they hit repository history via push protection. The upgrade is automatic for existing GHSP/GHAS customers, but new opt-in features in Copilot and push protection will consume AI Credits, introducing a usage-based cost layer to what was previously free. This marks a significant pivot in how developers handle security, blending LLM capabilities directly into the CI/CD pipeline.
© GitHub ChangelogGitHub Copilot finally addresses the security risks of autonomous coding by introducing local sandboxing across its CLI, app, and VS Code extensions. Powered by Microsoft’s MXC technology, this feature creates a strict execution boundary that restricts agent access to files, networks, and credentials based on developer-defined policies. This is a critical step for enterprise adoption, allowing organizations to enforce security controls without blocking the utility of agentic workflows. It shifts Copilot from a passive assistant to a controlled autonomous actor with clear operational limits.