Copilot

GitHub Copilot usage metrics now available at repository level

GitHub has introduced repository-level usage metrics for Copilot via its REST API, providing daily data on pull request activity for both Copilot coding and code review agents. Two new endpoints enable detailed tracking of Copilot's impact on individual repositories.

Why it matters: This update allows organizations and developers to better understand how Copilot is being used across different projects, facilitating more informed decisions about AI-assisted coding adoption and productivity. It enhances transparency and measurement of AI tool integration at a granular level.

GitHub Copilot app usage now tracked in usage metrics API

The GitHub Copilot usage metrics API has been updated to include app usage data in enterprise and organization 1-day and 28-day reports. This enhancement provides admins with better visibility into how Copilot is used within their teams.

Why it matters: By integrating Copilot app usage into the metrics API, organizations can more effectively monitor adoption and usage patterns. This helps admins manage resources and understand the impact of AI-assisted coding tools on their development workflows.

GitHub Copilot June 2026 update adds usage visibility and C++ support

The June 2026 update for GitHub Copilot in Visual Studio introduces enhanced visibility into Copilot usage, a new trust layer for MCP servers, and initial support for C++ scenarios. These changes aim to improve user trust and expand language support.

Why it matters: Improved visibility and trust features help developers better understand and manage AI-assisted coding. Adding C++ support broadens Copilot's applicability to more development environments.

Vercel Plugin Now Available in VS Code and GitHub Copilot CLI

The Vercel Plugin is now integrated into VS Code and GitHub Copilot CLI, providing on-demand platform knowledge and skills for Next.js, AI SDK, and Vercel Functions. It also helps keep Copilot updated with the latest Vercel APIs and recommended development patterns.

Why it matters: This integration streamlines developer workflows by embedding Vercel-specific expertise directly into popular coding tools, enhancing productivity and ensuring up-to-date best practices. It supports faster and more efficient development on the Vercel platform.

GPT-5.6 Powers Microsoft 365 Copilot for Enhanced Productivity

Microsoft 365 Copilot now uses GPT-5.6, delivering stronger AI capabilities across Word, Excel, PowerPoint, Chat, and Cowork. This update enables faster and higher-quality work within these applications.

Why it matters: Upgrading to GPT-5.6 enhances the AI assistance in widely used productivity tools, potentially improving user efficiency and output quality. It reflects ongoing advancements in integrating AI models into everyday software.

GitHub Agentic Workflows automate cross-repo documentation updates

GitHub's Aspire team uses Agentic Workflows to convert merged product changes into subject-matter-expert-reviewed documentation pull requests. This process helps close the gap between product releases and documentation updates.

Why it matters: Automating documentation updates across repositories ensures that product changes are accurately and promptly reflected in documentation. This reduces manual effort and improves the reliability of technical documentation.

Let’s Learn GitHub Copilot App – Free Virtual Training Event

Join us for a free online event series kicking off July 16 to learn how to get started with the GitHub Copilot App! The post Let’s Learn GitHub...

GitHub Copilot enables zero DNS setup for GitHub Pages in 14 minutes

GitHub Copilot allows users to go from an empty repository to a live custom domain with HTTPS in about 14 minutes without manually editing DNS records. This simplifies the deployment process for GitHub Pages.

Why it matters: By removing the need for manual DNS configuration, GitHub Copilot streamlines website deployment, saving time and reducing potential errors. This can make GitHub Pages more accessible to developers of all skill levels.

Not all model upgrades are upgrades

A new model drops with lower per-token pricing and better benchmarks. You switch. A week later someone asks why the agent is burning 12x more tokens on the same task while producing worse output. We ran 150 agent tasks across 15 scenarios on two models, Cl...

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.