GitHub Copilot

AI & Machine Learning Development Tools beginner

GitHub Copilot is an AI coding assistant from GitHub that suggests code and, in its agent mode, autonomously implements changes and opens pull requests, integrated into editors and the GitHub workflow.

Summary

GitHub Copilot is an AI coding assistant from GitHub. Launched in 2021, it was one of the first mass-market AI pair-programming tools, offering inline code suggestions inside the editor. It has since grown into an agent that can take on a task end to end—implementing changes across a repository and opening a pull request for review.

What is GitHub Copilot?

In its original form, Copilot provided autocomplete-style suggestions powered by a large language model, helping developers write code faster without changing the overall workflow. It established, for a broad audience, the idea that AI could meaningfully assist software development.

Its current generation adds an agent mode: given an issue or task, Copilot can plan and implement the work, run in the background, and submit a pull request. It supports multiple underlying models, integrates with the GitHub platform and editors such as VS Code, and supports repository-level instruction files (AGENTS.md) to steer behaviour. Together with tools like Cursor and Claude Code, it is part of the broad shift from code completion toward agentic software development.

Why is GitHub Copilot relevant?

  • Mass-market origin: One of the tools that popularised AI assistance in everyday coding
  • Agent mode: Implements tasks end to end and opens pull requests, not just completions
  • Platform-integrated: Works within GitHub and common editors, fitting existing workflows
  • Steerable and multi-model: AGENTS.md instructions and a choice of models shape behaviour

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