Last updated 12-01-2025
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Debugg AI
DebuggAI is an automated browser testing platform designed to run end-to-end tests on every pull request (PR) in GitHub repositories. It integrates directly with GitHub, automatically cloning the repository, building the application, and creating secure tunnels to test the app in real browsers. This process requires no setup or DevOps expertise, making it accessible for hobbyists and powerful enough for enterprise QA teams.
The tool targets developers and QA professionals who want to catch UI and functional issues early in the development cycle. By analyzing code diffs on every commit, DebuggAI generates targeted tests that validate user flows such as authentication, forms, and checkout processes. Test results, including videos and actionable insights, are posted directly as comments on the PR, streamlining the review process and reducing manual testing overhead.
DebuggAI’s unique value lies in its zero-configuration approach and GitHub-native experience. Users install a GitHub app once, and every PR thereafter triggers automated browser tests without additional setup. The platform builds a comprehensive knowledge graph of the application, mapping pages and user interactions to run relevant tests automatically. This ensures thorough coverage and helps developers ship code with confidence before merging.
Security is a key focus, with encrypted tunnels and isolated environments providing temporary, secure access to running applications. DebuggAI manages all infrastructure aspects, including repository access, dependency installation, build processes, and browser orchestration, eliminating the need for servers or containers.
The platform also offers a simple learning curve with natural language test descriptions and a VS Code extension for fast local testing. It supports continuous integration workflows through its CLI and web dashboard, enabling teams to collaborate and monitor test results effectively.
Overall, DebuggAI simplifies browser testing by automating complex tasks, providing immediate feedback on code changes, and helping teams catch UI regressions early. Its integration with GitHub and AI-driven test generation make it a practical solution for developers aiming to improve code quality and speed up review cycles.
🔗 One-click GitHub integration for instant setup and testing on every PR
🛠️ Automated cloning, building, and secure tunneling of your app for real browser tests
🤖 AI-driven test generation targeting code changes to catch UI regressions early
💬 Inline test results and videos posted directly in pull request comments
🔒 Secure remote management with encrypted tunnels and isolated environments
No setup or DevOps skills required; easy GitHub app installation
Automated, targeted tests on every commit improve code quality
Test results integrated directly into GitHub PRs speed up reviews
Secure tunnels and isolated environments protect code and data
AI maps app flows to run relevant tests, reducing manual effort
Limited information on support for non-GitHub repositories
No explicit mention of integrations beyond GitHub and VS Code
Pricing details beyond free tier and team plans are not fully disclosed
How does DebuggAI integrate with my GitHub repository?
You install the DebuggAI GitHub app once, and it automatically clones your repo, builds your app, and runs browser tests on every pull request with results posted as comments.
Do I need to set up any servers or infrastructure to use DebuggAI?
No setup is required. DebuggAI manages all infrastructure including cloning, building, secure tunneling, and browser orchestration without needing servers or containers on your side.
Can DebuggAI test my app locally before deployment?
Yes, DebuggAI supports instant localhost testing through secure tunnels, allowing you to test running development servers without deploying your app.
How does DebuggAI ensure the security of my code and application?
It uses encrypted tunnels, isolated environments, and temporary access to securely connect to your running application, keeping your code safe during testing.
What kind of tests does DebuggAI run on my pull requests?
DebuggAI analyzes code changes and generates targeted end-to-end browser tests that validate user flows like signup, forms, and checkout processes to catch UI issues early.
Is DebuggAI suitable for both hobbyists and enterprise teams?
Yes, DebuggAI’s zero-configuration AI testing is simple enough for hobbyists and powerful enough for enterprise QA teams.
How do I view the test results from DebuggAI?
Test results, including videos and detailed insights, appear directly as comments on your GitHub pull requests, eliminating the need to check external dashboards.