GitHub Copilot

GitHub has released Code Quality as a generally available feature for GitHub Enterprise Cloud and GitHub Team subscribers. The tool aims to address code review challenges created by AI-accelerated code generation.

GitHub released its June 2026 update for Copilot in Visual Studio, adding a trust layer for Model Context Protocol (MCP) servers, improved usage analytics visibility, and the first C++ language scenarios for the AI coding assistant.

GitHub reduced costs for Copilot code review by migrating to Unix-style code exploration tools. The company found that more sophisticated tools made reviews worse, leading them to reshape agent workflows around pull request evidence.

GitHub reduced costs for Copilot's code review feature by replacing more sophisticated structured tools with simpler Unix-style code exploration commands. The company found that better tools paradoxically made the system worse, leading to a redesign focused on pull request evidence-based workflows.

GitHub has deployed agentic workflows that automatically generate documentation pull requests from merged code changes. The system, used by the Aspire team, creates SME-reviewed documentation updates across repositories, reducing the lag between feature releases and documentation updates.

GitHub has deployed agentic workflows that automatically generate documentation pull requests from merged product changes. The system, built by GitHub's Aspire team, creates SME-reviewed documentation to reduce the lag between code releases and updated docs.

GitHub has extended access to Moonshot AI's Kimi K2.7 model to Copilot Business and Enterprise customers. The model was initially made available to Copilot Pro, Pro+, and Max plans on July 1, 2026.

GitHub has made browser tools for Copilot in VS Code generally available. The feature allows Copilot agents to control real browsers, navigate live web applications, and integrate findings back into the development environment.