0
An Agent That Hunts Bugs in My App While I Sleep
TL;DR: A two-agent system automatically tests a real desktop app by playing like a user, reporting bugs, and then fixing them. The challenge is teaching the hunter to distinguish real issues from noise to maintain trust.
The setup uses Playwright over CDP to drive the actual app, not a mock. One agent hunts, exploring UI paths and filingGitHub bug reports with steps and screenshots. A second agent retrieves these issues, reproduces them, patches code, and opens pull requests, with humans still reviewing. Finding bugs is easy; the hard part is minimizing false positives. The hunter must classify findings into Bug, UX issues, environment/data issues, test gaps, or Inconclusive, with a confidence level attached.
Question for the room: What strategies have you used to reduce false positives when automated testers report issues in a live product?
— via dev.to
Add a comment
0/2000