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Copilot
Latest AI signals connected to Copilot, rendered from the VQV Terminal API.
Latest Signals
All productsGitHub to deprecate selected Copilot models on November 16, 2026
GitHub announced it will deprecate certain Copilot models across all experiences, including Copilot Chat and code completions, on November 16, 2026. This change affects inline edits, ask and agent modes as well.
Why it matters: Developers using GitHub Copilot should prepare for the transition as some AI models will no longer be supported after the deprecation date. This update may impact workflows relying on specific Copilot functionalities.
HydraFusion updates with new Max option and improved workflows
HydraFusion has been updated with a new model pool, enhanced orchestration workflows, and introduces HydraFusion Max. Both versions are now accessible in VS Code, the GitHub Copilot app, and GitHub Copilot.
Why it matters: These updates improve developer productivity by offering more powerful orchestration and broader accessibility across popular coding environments. The new Max option provides an enhanced experience for users leveraging HydraFusion's capabilities.
GitHub Copilot app: Teaching Copilot about your codebase
GitHub's blog explains how to customize Copilot by adding instructions, skills, and connecting MCP servers like Playwright. This helps tailor Copilot's assistance to your specific repository.
Why it matters: Customizing Copilot enhances its relevance and effectiveness for developers working on unique codebases. It enables more precise AI-driven coding support tailored to project needs.
Secret protection must scale with software
Developers aren’t becoming more careless; they’re being outpaced. The tools that let developers create more software should also take on more of the work of protecting it. The post <a href="https://github.blog/ai-and-ml/github-copilot/secret-protect...
GitHub Copilot Plugins Enhance Consistent AI-Assisted Engineering
GitHub Copilot Plugins enable engineers to share and maintain agentic artifacts like instructions and configurations, ensuring others can adopt and update them easily. This approach supports consistent AI-assisted workflows across teams.
Why it matters: By facilitating the sharing and updating of AI-assisted engineering tools, GitHub Copilot Plugins help teams maintain alignment and improve productivity. This reduces friction in adopting AI-driven workflows and keeps tools compatible and up-to-date.
Free Hands-On Course to Get Started with GitHub Copilot App
Microsoft offers a free course to help developers learn how to use the GitHub Copilot app, including directing AI coding agents and building reliable workflows. The course aims to improve developers' ability to review AI-generated code effectively.
Why it matters: As AI coding tools become more integrated into development processes, understanding how to work with and review AI-generated code is essential. This course provides practical guidance to help developers leverage GitHub Copilot efficiently.
Microsoft Unveils New Copilot with Home, Code, and Autopilot Features
Microsoft has introduced a new version of Copilot designed to integrate with familiar tools and provide advanced capabilities for building, customizing, and scaling AI. This update aims to support evolving work processes and enhance productivity for individuals and organizations.
Why it matters: By connecting existing tools with next-generation AI features, Microsoft Copilot seeks to streamline workflows and expand what users can achieve. This reflects a broader trend of embedding AI more deeply into everyday work environments.
Build an Interview Coach App Using GitHub Copilot SDK
The GitHub Copilot SDK enables developers to build an interview coach app that can read resumes, follow up on incomplete answers, and provide contextual feedback. It supports both conversational interactions and application service calls.
Why it matters: This SDK allows for creating more intelligent and interactive developer tools that go beyond simple question-answering by maintaining context and integrating with other services. It demonstrates how AI can assist in complex workflows like interview coaching.
LLMs and GenAI Pose Growing Risks to Cybersecurity and Platform Integrity
Large Language Models (LLMs) and generative AI systems like ChatGPT and Gemini are transforming digital platforms but also raising significant cybersecurity, privacy, and platform integrity challenges. Notably, LLM-assisted malware is projected to increase from 2% in 2021, highlighting escalating r...
Why it matters: As LLMs become more integrated into various sectors, their misuse in malware and scams threatens digital trust and safety. Understanding these risks is crucial for developing effective safeguards in AI deployment.