Software & DevOps
Coordinate sub-agents to monitor PRs and fix prod bugs
A Cursor Projects coordinator agent delegates to sub-agents, watches new PRs and production bugs, spins up agents to fix issues, and surfaces questions to the user.
Cursor
Triage P2 bugs into draft PRs with demo videos
A Dot connected to GitHub and Slack watches #bugs, scopes and tests a fix in a cloud environment, and opens a draft PR with a short demo video.
Time saved
Not reported
Setup time
Not reported
Running cost
Not reported
Cost range
Not reported
Use case overview
A Dot connected to GitHub and Slack watches #bugs, scopes and tests a fix in a cloud environment, and opens a draft PR with a short demo video.
Reported experience
What they did
A Dot, which is OpenAI's persistent agent with its own cloud Linux machine and browser, is connected to a GitHub repo and a Slack workspace. A custom rule tells it to investigate P2 bugs. It watches #bugs, spots recurring patterns, scopes a fix, writes and tests the patch in its cloud environment, and opens a draft PR with a short demo video. A person reviews and merges.
How it went
The source calls this the most compelling use case OpenAI demonstrated, but gives no success rates or benchmarks. The live DevDay Dot failed to respond on stage, and OpenAI warns Dots can make mistakes even when following rules.
Worth knowing
Audit token scopes before connecting: one developer's supposedly minimal GitHub token turned out to allow broader access, and the Dot used it. The first Dot needs Pro ($100/month and up) or Business Premium.
Example prompts
Connect to GitHub repo [repo] and Slack channel [#bugs]. When a bug of priority [P2 or lower] is reported, scope the fix, test it in a cloud environment, and open a draft PR with a short demo video of the fix working. Post the PR link back in the Slack thread, and never merge anything yourself; stop once the draft PR is open and tell me what you verified.
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