Debugg AI

Debugg AI is a GitHub App that automatically runs real browser tests on every pull request, then posts the results directly back to the PR as comments. Instead of relying on manual QA or maintaining complex end-to-end test infrastructure, teams can get immediate confidence that changes work before merging.

Setup takes about two minutes: connect a repository with a one-click integration and Debugg AI starts monitoring pull requests and new commits. When activity happens on a PR, it clones the repo, runs the build command, securely exposes the running app through an encrypted tunnel, and launches AI agents to interact with the application in fully managed browsers. The agents execute checks across key user journeys, validate that core flows still behave correctly, and capture evidence of what happened during the run.

Results are delivered in a GitHub-native workflow. Developers can review pass/fail status, runtime information, and recordings right where they work—inside the pull request—so problems are caught early and review cycles move faster. Because Debugg AI manages the browsers and the full testing pipeline end-to-end (from cloning and building to running tests), there’s no separate infrastructure to provision and no heavy configuration required.

Under the hood, Debugg AI uses AI-powered application understanding to map important screens and user flows, making in-browser testing approachable for hobby projects while still being strong enough for enterprise QA needs. The goal is simple: reduce regressions, minimize manual testing, and ship with higher confidence on every merge.