Cursor Cloud Agents fit best when...
- Most AI coding already starts inside Cursor.
- Starting and supervising cloud agent tasks from the IDE is the desired experience.
- The agent loop does not need to span multiple agent providers.
Cursor Cloud Agents (formerly Background Agents) are a natural fit when developers live in Cursor and want background tasks connected to that editor experience. ProPR is built around a different center: planned changes, GitHub pull requests, GitHub feedback, and a process that spans more than one agent family.

Cursor starts from the developer environment. ProPR starts from the process around a planned change.
Cursor's cloud agent model makes sense when the developer's IDE is the natural control room. It sits close to the code and the developer's current context, and a task started there hands back through a branch or pull request.
ProPR puts the pull request at the center. The change starts as a plan, the agent gets a dedicated Docker workspace and Git worktree with outbound network access that can be limited to required endpoints, the result becomes a pull request, and GitHub comments continue the change. That keeps one process intact even when some people use Cursor, others use a terminal agent, and the final review still happens in GitHub.
If AI changes should live in the editor, Cursor is the simpler choice. If they should live in the pull request, ProPR is the better fit. Many teams use both: Cursor for live editing and exploration, ProPR for planned, reviewable delivery.
| Question | Cursor Cloud Agents | ProPR |
|---|---|---|
| Cursor is the main interface | Yes | No |
| Fast cloud tasks from the IDE | Yes | Sometimes |
| GitHub review is the primary loop | Usually outside IDE | Yes |
| GitHub comments become follow-up commits | Not central | Yes |
| Use non-Cursor agents in the same path | No | Yes |