These two tools meet a developer in different places. One lives in the editor you write in; the other takes a task and returns a change you review.
What they have in common
- AI assistance grounded in the codebase rather than in a blank chat window.
- Model choice, so the engine can be changed as the models improve.
- Multi-file awareness: neither is limited to completing the current line.
- A strong focus on developer experience and speed of feedback.
Where the tools differ
| Where the tools differ | ORVYX | Cursor |
|---|---|---|
| Where it runs | ORVYX Code runs the task as an agent on your infrastructure and returns a pull request. | Cursor is an editor: the assistance appears where the developer is typing. |
| Interaction model | You describe the outcome; the agent explores, writes, runs the tests and fixes until they pass. | The developer drives, with AI completing, suggesting and refactoring inline. |
| Review surface | The deliverable is a pull request, reviewed with the same process as any other change. | The deliverable is code in the editor, reviewed whenever the developer commits. |
| Data and execution boundary | The agent is designed to run inside the customer's perimeter, on the customer's chosen model. | Cursor is a desktop editor with hosted AI features. |
- Where it runs
Typing-speed assistance and delegated work are different economics: one makes a developer faster, the other removes the task from their list.
- Interaction model
Interactive tools keep the human in the loop continuously; agents move the loop to review time. Teams differ on which they trust.
- Review surface
If your process is PR-based, an agent fits without a new ceremony. If your process is exploratory, an editor fits better.
- Data and execution boundary
Where the code and the prompts travel is often a procurement question, not a preference.
Which workflow fits which use case
- A developer who wants faster typing and inline refactors
An AI editor is the natural fit: the assistance is exactly where the work happens.
- A team with a maintenance backlog and strict review
A delegated agent converts backlog items into reviewable pull requests without adding process.
- An organisation that cannot send code outside its perimeter
The execution boundary decides it: check where the tool runs before comparing features.
Competitor capabilities change quickly. This page compares documented positioning and delivery model; verify current specifics on the vendor's own documentation before deciding.
See how ORVYX Code fits your review process.
Hand it one real task, and judge the pull request it produces.