Cursor and Copilot Compared: Which AI Code Editor Works Best for Python?
Cursor and Copilot share Agent, Plan, and Ask modes. Cursor reviews agent diffs; Copilot edits inline in VS Code. Pick by workflow.
Key Takeaways
- Cursor and GitHub Copilot both offer Agent, Plan, and Ask modes for Python development, but they differ in how edits are applied: Cursor stages agent changes as diffs in a review session, while Copilot applies edits inline for inspection, keep, or undo.
- The comparison uses a common baseline: Python 3.12 or later and, for the controlled test, the same model, Claude Sonnet 5, requiring a Pro subscription in both tools.
- Cursor is a standalone AI-first editor built on VS Code and can import VS Code settings, but it lacks Microsoft-restricted extensions such as Pylance; Copilot remains inside the VS Code extension ecosystem and supports Microsoft extensions.
- Their project conventions and review workflows differ: Cursor uses .cursor/rules/ and Ask mode, /review, and Bugbot; Copilot uses .github/copilot-instructions.md and integrated Copilot code review.
- Cursor is better suited for large, multi-file Python codebases and developers who want reviewable diffs, while Copilot is better for a lightweight AI assistant inside an existing VS Code workflow; Pro pricing is $20/month for Cursor and $10/month for Copilot.
Meta description: Cursor vs GitHub Copilot for Python: compare Agent, Plan, Ask modes, diff review, inline edits, project rules, pricing, and VS Code compatibility.
Tags: Cursor, GitHub Copilot, Python, AI code editor, VS Code
Featured image: Abstract friendly illustration of two editor panels with diff and inline edit markers, no real people, no logos, no text.
Python developers comparing Cursor vs GitHub Copilot get a workflow answer, not a feature-list answer. A hands-on build of the same Markdown note manager in Python 3.12 or later shows that both editors expose Agent, Plan, and Ask modes, while their real separation appears in how generated edits reach files: Cursor presents agent changes as diffs in a dedicated review session, and GitHub Copilot applies edits inline so the developer can inspect, keep, or undo them before the change becomes permanent.
Why the test setup matters
The comparison points both editors at the same model to separate editor behavior from model behavior. That target is Claude Sonnet 5, and selecting it requires a Pro subscription for both Cursor and GitHub Copilot. Without Pro plans, the exercise still works, but the editors use different models, which adds another variable. Cursor's free plan is limited to its latest Composer model, while GitHub Copilot's free plan uses automatic model selection only, with no manual model picker.
The shared baseline is Python 3.12 or later. The original Real Python tutorial also provides free sample code and an interactive quiz titled “Cursor vs Copilot: Which AI Editor Is Better for Python?”; the quiz returns a score after completion. The full original tutorial is published at https://realpython.com/cursor-vs-copilot/.
The practical task is the same in each editor: set up the environment, build and debug a Markdown note manager, then compare code completion, multi-file refactoring, and code review.
Where the editors diverge
Cursor runs as its own AI code editor, while GitHub Copilot adds AI assistance to VS Code. Start at the Cursor download page and install the build for your operating system. When Cursor launches for the first time, it can import existing VS Code settings, extensions, themes, and keybindings, so developers may not need to reconfigure the environment from scratch.
GitHub Copilot works through VS Code. To enable it, open VS Code, go to the Extensions view, search for GitHub Copilot Chat, select the extension, and click Enable AI Features.
Extension compatibility is one of the clearest workflow differences. Cursor supports most VS Code extensions, but Microsoft-restricted extensions such as Pylance are not available because Pylance is licensed only for use with Microsoft products. Copilot stays inside the VS Code extension ecosystem, including Microsoft extensions.
Review paths also differ. Cursor presents agent-generated changes as diffs and groups them in a dedicated review session. Copilot applies edits inline and lets the developer inspect them before keeping or undoing them. For broader review, Cursor uses Ask mode, /review, and Bugbot to review code, uncommitted changes, and pull requests. Copilot offers integrated Copilot code review for selected code, uncommitted changes, and pull requests.
Project conventions live in different files. Cursor reads rules from .cursor/rules/, while Copilot reads instructions from .github/copilot-instructions.md. For newcomers to Cursor, Real Python's video course on Tips for Using the AI Coding Editor Cursor covers the multi-agent interface, project-aware chat, and inline edits.
Comparison at a glance
| Metric | Cursor | GitHub Copilot |
|---|---|---|
| IDE support | Standalone AI-first editor built on VS Code | Extension for VS Code |
| VS Code extension compatibility | Supports most VS Code extensions, but some Microsoft-restricted ones, such as Pylance, are not available | Uses the VS Code extension ecosystem, including Microsoft extensions |
| Code review workflow | Ask mode, /review, and Bugbot for reviewing code, uncommitted changes, and pull requests | Integrated Copilot code review for selected code, uncommitted changes, and pull requests |
| Project conventions | .cursor/rules/ | .github/copilot-instructions.md |
| Free plan model selection | Limited to latest Composer model | Automatic model selection only, no manual model picker |
| Pro plan pricing | $20/month, with usage-based Bugbot pricing | $10/month |
| Required Python version | Python 3.12 or later | Python 3.12 or later |
| Best suited for | Large, multi-file codebases and developers who frequently perform AI-assisted refactoring and project-wide changes | Developers who want a lightweight AI assistant integrated into their existing VS Code workflow |
Who should use it, who should skip it
Cursor fits developers who want AI edits staged for review before files change. It is best suited for large, multi-file codebases and for people who frequently perform AI-assisted refactoring or project-wide changes. Its Pro plan costs $20/month, with usage-based Bugbot pricing, and the editor's diff-centered review session can be useful when changes need explicit inspection.
GitHub Copilot fits developers who want AI assistance inside the VS Code workflow they already use. Its Pro plan costs $10/month, and it can rely on Microsoft extensions such as Pylance. It is best suited for developers who want a lightweight AI assistant rather than a separate editor.
Skip Cursor if you must keep Microsoft-only VS Code extensions such as Pylance, or if you want the lower $10/month Pro price. Skip GitHub Copilot if you want agent-generated changes staged as diffs in a dedicated review session before files change.
For Python developers, the choice is not about which product has more modes. Both offer Agent, Plan, and Ask modes. The decision comes down to whether you want a dedicated AI development environment with reviewable diffs, or an AI layer added to VS Code with inline edits and the familiar extension ecosystem.
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