JuhJuh vs Cursor
The workspace above your editor. Cursor helps one developer write code. JuhJuh holds every change to the same standard, whoever wrote it.
TL;DR
- Layer: The team's workspace: tickets, review, CI and deploys
- Team model: Agents shared by the organization, one standard for all
- Safety: 5 safety gates, and a person decides every merge
- Standard: Templates, five rule levels and practices that lock when the spec is approved
How JuhJuh compares to Cursor.
| Dimension | JuhJuh | Cursor |
|---|---|---|
| Layer | The team's workspace: tickets, review, CI and deploys | The code editor |
| Team model | Agents shared by the organization, one standard for all | Set up by each developer, with team settings |
| Safety | 5 safety gates, and a person decides every merge | The developer reviews each change |
| Standard | Templates, five rule levels and practices that lock when the spec is approved | Rules files in the project |
| Review | A second agent on a different model reviews every change, and again on every push | AI review of pull requests with Bugbot |
| Cost | Every run records which agent and model did each stage and what it cost | Usage per developer account |
| Pipeline | Ticket, branch, review, CI and deploy on the agents' own computer | Code editing, plus cloud agents and automations that open pull requests |
| Integrations | 200+ ready-made connections across 23 categories | Editor extensions, MCP, and agents started from Slack, GitHub or Linear |
| Deployments | One-step rollback and a vault per environment | Outside the editor |
JuhJuh and Cursor, side by side.
Keep Cursor for writing code by hand. Use JuhJuh for everything around it: the ticket, the review, CI, the deploy and the standard every change has to meet.
- A person approves anything consequential, and code never merges on its own.
- Every reply is priced to the token and billed to the workspace that asked.
- 200+ ready-made connections across 23 categories.
Ask
Ask in a channel or file a ticket. The right agent picks it up and hands back the work.
Stay safe
Work runs on the agents' own computer, and anything consequential waits for a one-tap approval.
Remember
Agents read the knowledge base first and write back what they learned.
See it all
Every run shows what it cost, and every agent action lands in the audit trail.
We publish what isn't ready.
Every one of our 86 features carries a maturity level: 53 stable, 31 preview, 2 experimental. No comparison table is worth much if the other column is aspirational, so ours isn't.
