Cursor stands out by making AI a first-class editing workflow rather than a side panel bolted onto VS Code. While VS Code can be paired with Copilot and other assistants, Cursor is designed around
repo-wide context, multi-file changes, and fast iteration loops that feel closer to collaborating with an agent than chatting with a plugin.
Its core strength is understanding and operating across the codebase: generating changes in multiple files, updating tests alongside implementation, and helping drive refactors that would otherwise require lots of manual coordination. The inline editing and
tab completion are tuned for real coding flow, so suggestions often land where the cursor actually is, not just in a separate chat response.
Switching costs are relatively low because it preserves much of the VS Code feel, including familiar keybindings and extension compatibility. That makes it attractive to teams that want to keep the VS Code ecosystem but upgrade the default workflow to be AI-forward.
The main trade-offs are around cost/usage limits and the realities of AI context on very large repos, where you may need more deliberate prompting and review. For developers who regularly do multi-file work, though, Cursor can meaningfully compress the time from intent to working change.