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GitHub Copilot Agent Now in Public Preview for Pro Users

June 27, 2025•Unknown•Original Link•2 minutes
GitHub
Copilot
AI

GitHub Copilot Pro users can now delegate coding tasks to the Copilot agent, which works in the background. Student, Teacher, and OSS Maintainer Pro plans gain access next week.

GitHub has announced the public preview of its GitHub Copilot coding agent, now available for Copilot Pro subscribers. This feature allows developers to delegate coding tasks to Copilot, which operates autonomously in the background. Users on Student, Teacher, or OSS Maintainer Pro plans will gain access to the agent early next week.

How It Works

  • Assign Tasks: Users can assign an issue to Copilot just like assigning it to a teammate.
  • Request Pull Requests: Developers can also ask Copilot to create a pull request directly from Copilot Chat.

Behind the Scenes

The agent leverages GitHub Actions to power a secure, cloud-based development environment. It autonomously:

  1. Explores the repository.
  2. Makes changes to the code.
  3. Validates its work using tests and linters before pushing changes.

Once completed, Copilot tags the user for review. Developers can then:

  • Request adjustments by commenting on the pull request.
  • Continue working locally by checking out the branch, with Copilot assisting in their IDE.

Usage Costs

Running the agent consumes:

  • GitHub Actions minutes (details here).
  • Copilot premium requests (learn more).

Getting Started

For best practices and setup instructions, visit the Copilot coding agent documentation.

This release marks a significant step in AI-assisted development, enabling developers to offload routine tasks and focus on higher-value work.

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August 18, 2025•Kaydence Shum

Lenovo Wins Frost Sullivan 2025 Asia-Pacific AI Services Leadership Award

Lenovo earns Frost Sullivan's 2025 Asia-Pacific AI Services Customer Value Leadership Recognition for its value-driven innovation and real-world AI impact.

AI
Lenovo
Asia-Pacific
August 18, 2025•Unknown

Baidu Wenku GenFlow 2.0 Revolutionizes AI Agents with Multi-Agent Architecture

Baidu Wenku's GenFlow 2.0 introduces a multi-agent system for parallel task processing, integrating with Cangzhou OS to enhance efficiency and redefine AI workflows.

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About the Author

Michael Rodriguez

Michael Rodriguez

AI Technology Journalist

Veteran technology journalist with 12 years of focus on AI industry reporting. Former AI section editor at TechCrunch, now freelance writer contributing in-depth AI industry analysis to renowned media outlets like Wired and The Verge. Has keen insights into AI startups and emerging technology trends.

Expertise

AI Industry Analysis
Startup Ecosystem
Technology Trends
Product Reviews
Experience
12 years
Publications
800+
Credentials
2
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