Start With Your Bottleneck
If your bottleneck is coordinating a larger change, evaluate how each candidate keeps scope and context under control. If your bottleneck is reviewing incoming changes, evaluate how each fits your existing review process. Product names alone do not settle that decision.
This is a repeatable evaluation plan, not a hands-on benchmark or a claim that one service produces better code. Keep your current review and test process as the baseline. A third valid outcome is that neither candidate improves it.
What Recent Announcements Mean For The Test
Cursor’s September 10 announcement describes Projects as a beta with a coordinator delegating work to agents. Test boundaries and stop controls before trying longer-running work. Official Cursor announcement.
GitHub’s September 11 announcement describes automatic resolution of addressed Copilot review comments during rereview. Test whether a closed comment corresponds to a correct fix in the diff. Official GitHub announcement.
These are separate recent announcements, not exclusive feature comparisons. Confirm your account’s access and current terms before a trial. See Change Watch for the recorded checks.
Run One Small Repository Task
Choose an existing bug with a reproducible failure, a narrow fix, and no production credentials. Create two clean copies at the same commit. Give both candidates the same request, available context, permitted commands, and time budget. Do not let the second candidate see the first result.
Use a brief like this:
Task: fix the reproducible failure described below.
Starting commit:
Reproduction command and observed output:
Expected behavior:
Allowed files:
Files and services that must remain untouched:
Tests required:
Ask before installing dependencies, using network access, or publishing.
Deliver the diff, validation output, and any unresolved assumptions.
Compare Evidence, Not Confidence
| Decision | Evidence to keep from each trial | Reason to pause |
|---|---|---|
| Does it understand the task? | Its explanation of the cause and a reproducible test | A plausible fix with no reproduced failure |
| Can you contain the change? | Full diff, touched files, and permission prompts | Unrequested refactors or changed access settings |
| Is the result reviewable? | Test results you reran and comments you can verify | Hidden failures, invented results, or unexplained edits |
| Does it fit your workflow? | Human review time and steps outside your usual tools | More review burden than the baseline |
| Can you operate it safely? | Execution location, repository access, and a stop/recovery exercise | Unclear data access or inability to recover |
Record human review time separately from generation time. A fast draft can still require substantial correction. Repeat on another representative task before generalizing from one outcome.
Check Access And Cost At The Decision Point
Check Cursor pricing and GitHub Copilot plans on the day you test. Record the plan, enabled capabilities, usage settings, and any limits that affect your workflow. This guide does not assume equal model access, pricing, or deployment options.
Do not upload restricted repositories or secrets without authorization. Review new dependencies, license obligations, generated code, and security-sensitive changes with the responsible people.
Keep A Decision Note
Task and starting commit:
Candidate / account configuration / trial date:
Acceptance criteria met:
Human review and correction time:
Access or license questions still open:
Decision: continue testing / adopt for this task / do not use for this task
Recheck trigger: a relevant product, policy, or workflow change
Open the Cursor and GitHub Copilot reviews, then save candidates to My Shortlist. Follow the code review playbook for each proposed change.