github/copilot-cli

GitHub Copilot CLI brings the power of Copilot coding agent directly to your terminal.

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Summary Information

Updated 1 minute ago
Added to GitGenius on September 5th, 2026
Created on January 6th, 2023
Open Issues & Pull Requests: 2,309 (+0)
GitHub issues: Enabled
Number of forks: 1,917
Total Stargazers: 11,137 (+0)
Total Subscribers: 270 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 46.8 hours
Mean response time: 18.0 days
90th percentile: 61.8 days
Tracked items: 2,728

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 99% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "area:models" is answered fastest, typically in about 2 days, while "area:configuration" waits about 8 days. 57% of tracked open issues have had no activity in three months. Only 5% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 2,272
New in 7 days: 81
Closed in 7 days: 23
Avg open age: 125 days
Stale 30+ days: 1,764
Stale 90+ days: 1,116

Recent activity

Opened in 7 days: 73
Closed in 7 days: 22
Comments in 7 days: 21
Events in 7 days: 142

Top labels

  • area:agents (441)
  • area:models (422)
  • area:sessions (420)
  • area:configuration (344)
  • area:tools (324)
  • area:mcp (304)
  • area:terminal-rendering (292)
  • area:input-keyboard (283)

Detailed Description

GitHub Copilot CLI is a command-line interface that brings AI-assisted coding capabilities directly to your terminal.

The tool solves the problem of context-switching between your editor and documentation or search engines when you need help with command-line tasks. It works by accepting natural language queries about shell commands, system operations, or scripting problems and returning relevant suggestions and explanations. Rather than requiring you to leave your terminal environment, the tool integrates Copilot's coding agent capabilities into the command line itself, allowing you to ask questions and receive assistance without interrupting your workflow.

Developers working primarily in terminal-based environments, those who frequently write shell scripts, or anyone managing infrastructure through command-line tools should consider this. It suits projects where command-line proficiency is central to the work, such as DevOps, systems administration, or backend development. The tool is particularly valuable for developers who want AI assistance without switching to a graphical editor or web interface, and for teams that standardize on terminal-based development practices.

The project shows active development with regular commits addressing bug fixes and feature improvements. The codebase receives consistent updates that expand functionality and respond to user feedback. Pull requests are reviewed and merged at a steady pace, indicating ongoing maintenance and evolution of the tool. The project maintains responsiveness to issues raised by users, with problems being identified and addressed through iterative releases.