GitHub Copilot review
The standard in many development teams: unobtrusive, integrated, manageable.
Editorial verdict: The safe standard choice for a team; for large refactors, pair it with an agent tool.
Copilot has become standard equipment in many companies, and for understandable reasons: it runs in practically every common development environment, can be rolled out centrally and steered through policies. For IT departments that often matters more than the last nuance of code quality.
Day to day it shines on small-grained work: test cases, recurring patterns, boilerplate, documentation. The built-in chat answers questions about the open project, and automatic pull request reviews catch part of the obvious mistakes.
On large rewrites across many files, agentic tools such as Cursor or Claude Code show more stamina. Either way: every suggestion deserves reading before it is accepted, because generated code rarely looks wrong and is sometimes wrong anyway.
Strengths and weaknesses
What speaks for it
- Runs in VS Code, Visual Studio, JetBrains and Neovim
- Central administration, policies and billing for companies
- Code suggestions and chat in the editor, plus reviews in pull requests
- Filter against emitting well-known public code snippets
What speaks against it
- Weaker than agentic tools on larger multi-step rewrites
- Quality depends heavily on the model selected
- Suggestions are more confident than they often deserve
Scores in detail
- Output quality4.3
- Usability4.6
- Feature set4.2
- Value for money4.4
- Data protection4.0
All criteria carry equal weight. How we test is described in our test methodology.
Who is GitHub Copilot worth it for?
Development teams that need a centrally managed solution. If that describes your situation, GitHub Copilot is a sound choice. If not, the alternatives are worth a look, the AI coding tools category holds 3 tools with different priorities, and the full overview compares all 17 tools we have tested.