GitHub Copilot vs Cursor

Only in GitHub Copilot

GitHub Copilot

• • Inline code suggestions that adapt to file context and style so engineers skip boilerplate and focus on design performance and delivery impact
• • Chat inside the IDE that explains code proposes refactors drafts tests and answers API questions using repo context for safer confident edits
• • Multi editor support across VS Code Visual Studio JetBrains and Neovim so teams adopt without retooling or forcing a single environment
• • Repository aware behavior for business and enterprise tiers that honors policies secret scanning and compliance for regulated teams
• • Pull request assistance that drafts summaries suggests fixes and links docs so reviews speed up and knowledge spreads across contributors
• • Codespaces integration that pairs cloud dev containers with Copilot so onboarding and spikes move faster with predictable environments

GitHub Copilot

• → Greenfield feature work where scaffolding tests and wiring are tedious and an assistant speeds drafts without blocking architectural choices
• → Refactors that touch many modules where chat proposes safer patterns and tests which reduces errors and time to stable behavior
• → Legacy code comprehension where explanations and examples shorten ramp time for new hires and rotations across complex services
• → Docs and examples generation where inline comments and READMEs appear from context so repos stay helpful and are easier to maintain
• → API client creation where chat reads specs and generates usage patterns so product teams integrate external systems with fewer mistakes
• → Bug reproduction and test writing where failing cases and minimal repro code are drafted quickly which accelerates fixes and reviews

GitHub Copilot

software engineers tech leads platform teams data engineers and students who want faster coding safer refactors and explainable help governed by enterprise controls and audit ready events