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GitHub Copilot Review: The AI Pair Programmer Worth Paying For

After four years, GitHub Copilot is still the most consistently useful AI coding assistant for professional developers — and the addition of multi-model support has made it dramatically more powerful.

GitHub Copilot
GitHub Copilot
4.6/5
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GitHub Copilot Review: The AI Pair Programmer Worth Paying For

The good

  • Tích hợp sâu GitHub
  • Nhiều model lựa chọn
  • Giá hợp lý

The not-so-good

  • UX không bằng Cursor
  • Workspace còn beta

Copilot in 2026

GitHub Copilot is no longer just an autocomplete on steroids. It now ships with multiple model options (GPT-4o, Claude 3.5 Sonnet, o1), agent-style multi-file editing, and Copilot Workspace — an experimental agent that can plan, implement and open a pull request for entire features.

For most developers it is the lowest-friction AI coding tool to adopt: install the extension, sign in with GitHub, get suggestions in your existing editor immediately.

Core features

Inline suggestions

The original Copilot experience, still excellent. Ghost-text completions that read your file context and predict the next few lines. Acceptance rate on real production code hovers around 30%, which is impressive given how broad the contexts are.

Chat

Integrated chat in VS Code, JetBrains, Visual Studio, Neovim and the GitHub website. Aware of your open files, repository structure and even build errors. Refactor a function, explain a snippet, generate tests, fix a TypeScript error — all without leaving the editor.

Copilot Edits

Multi-file refactoring. Describe the change ("extract this logic into a new hook and update all call sites"), preview a diff across every affected file, accept selectively. This is the feature that closes most of the UX gap with Cursor.

Copilot Workspace

Still in technical preview but increasingly usable. Given a GitHub issue, Workspace produces a plan, implements the changes across the codebase, and opens a draft PR. Best on well-scoped tasks in mature codebases; less reliable on greenfield work.

CLI integration

Copilot in the terminal suggests commands from natural-language descriptions. Surprisingly useful for the long tail of CLI tools you use rarely.

Versus Cursor

Cursor has a more refined AI-first editing experience: better diff visualization, faster context switching, slicker multi-file edits. Copilot wins on GitHub integration, on staying inside VS Code (which most professionals already use), and on enterprise features like data governance and SSO.

Many serious developers now use both — Cursor for greenfield AI-heavy work, Copilot in their primary repo where the team has standardized on VS Code.

Pricing

$10/month individual, $19/month business, $39/month enterprise. The business and enterprise tiers add policy controls, audit logs and IP indemnity. Pricing is aggressively low for what you get.

Verdict

Four years in, Copilot is still the most defensible AI coding tool for professional teams. The recent multi-model support and Workspace experiments suggest GitHub is not standing still while Cursor and others nip at its heels.

Ready to give it a spin?

Try Copilot

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