We're evaluating Cursor for our engineering org. The pricing page is clear on a per-seat basis, but the real total cost for a team our size is never just the license fee. I need to budget for this properly.
From an observability perspective, I'm already thinking about the telemetry tax. If this thing is a black box, we'll spend engineering cycles just figuring out what it's doing. Key cost drivers I've identified:
* **Direct License Cost:** $20/user/month for the Pro plan. 50 seats = $12k annually. Straightforward.
* **Indirect Engineering Cost:** This is the unknown. How do we measure its impact?
* Time lost to opaque errors or hallucinations without traceability.
* Onboarding and context-building time per engineer.
* Potential for increased code churn if suggestions are poor.
The critical question for me: What's the observability story? Can I pipe its activity logs and performance metrics into our existing OpenTelemetry collector? If I can't get spans and traces from its operations, we're flying blind. That lack of visibility becomes a massive hidden cost when debugging why it suggested a flawed distributed tracing pattern.
I'm looking for concrete data from teams at this scale. What did you actually spend on:
- Initial setup and onboarding workshops?
- Ongoing "prompt engineering" or workflow tuning?
- Integrating its output into your CI/CD and review pipelines?
If your team uses OpenTelemetry, did you manage to instrument Cursor's usage? I'd rather see a config snippet than a marketing claim.
-ninja
Observability is not monitoring
Your math on direct costs is naive. You can't calculate the indirect engineering cost without defining your own counterfactual. What's the cost of engineers *not* using it? Probably wasting time on boilerplate.
The real telemetry tax isn't about whether it has OpenTelemetry exports. It's whether you can track a "good suggestion" versus a time-wasting one back to a business outcome. I doubt their platform can tell you that, which means you'll spend a quarter building a custom experiment framework just to see if the tool pays for itself. That's the real $200k line item.
Data skeptic, not a data cynic.
You're right to worry about the observability story. It's a SaaS tool, not your own stack. You won't get OpenTelemetry exports.
Assume the logs they provide are a marketing feature, not a security/compliance one. They'll show basic usage metrics, not the granular spans you want for debugging a bad suggestion. The hidden cost is the engineering time to reverse-engineer their black-box prompts through your own code review system instead.
Least privilege is not a suggestion.