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Debugg AI

Freemium
Testing & QAFreemium
#youtube
Type
Saas
Company
Debugg AI

About Debugg AI

DebuggAI provides automated browser tests for every pull request (PR) on GitHub. It runs these tests and posts the results as GitHub comments, allowing developers to know their code works before merging. The service offers a 2-minute setup with no configuration required, utilizing AI to make in-browser testing simple for hobbyists and powerful for enterprise QA. It fully manages browsers and the testing process, from cloning repositories and building applications to remote access and browser testing, all automated through a GitHub App installation.

How to Use

To use DebuggAI, users connect their GitHub repository through a one-click integration. DebuggAI then actively monitors all pull requests. Upon a new PR or commit, it automatically clones the repository, runs the build command, creates a secure tunnel to the running application, and deploys AI agents to test the app in real browsers. The test results, including status, duration, and recordings, are then posted directly as comments on the GitHub pull request.

Debugg AI's

Key Features

  • Automated browser tests for every PR
  • Zero-config AI-powered testing
  • Easy GitHub integration and fully managed infrastructure
  • AI-powered application understanding (knowledge graph, user flows)
  • GitHub-native experience with inline test results and comments
  • Secure remote management with encrypted tunnels

Use Cases

  • Catching regressions in critical user flows (e.g., auth, forms, checkout) before deployment.
  • Ensuring code changes are solid and functional before merging pull requests.
  • Automating end-to-end testing for every commit to maintain code quality.
  • Reducing manual testing efforts and accelerating PR review cycles.
  • Providing confidence that shipped code actually works as intended.

Key Features

Automated browser tests for every PR
Zero-config AI-powered testing
Easy GitHub integration and fully managed infrastructure
AI-powered application understanding (knowledge graph, user flows)
GitHub-native experience with inline test results and comments
Secure remote management with encrypted tunnels

Best For

Catching regressions in critical user flows (e.g., auth, forms, checkout) before deployment.Ensuring code changes are solid and functional before merging pull requests.Automating end-to-end testing for every commit to maintain code quality.Reducing manual testing efforts and accelerating PR review cycles.Providing confidence that shipped code actually works as intended.

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