Debugg AI

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About Debugg AI

DebuggAI is an AI-powered testing and browser-agent platform that automatically understands your code changes, generates the right tests, and executes them in scalable remote browsers—no setup required. Developers connect their repo, and DebuggAI analyzes diffs, creates rich test specifications, runs autonomous browser flows, and provides clear results directly in GitHub, VS Code, or the dashboard. Building on this foundation, Surfs.dev extends the platform into a full lifecycle system for training, testing, monitoring, and deploying autonomous browser agents. Every interaction with a browser becomes structured data—captured, labeled, and fed back into agent training to create smarter, more reliable automations over time. Teams can visualize step-by-step browser flows, track agent behavior, evaluate quality metrics, and rapidly iterate on agent performance. Whether used for end-to-end QA, autonomous workflows, or building next-gen browser agents, the platform gives teams a unified platform for testing and deploying AI-powered browser automation.

Key features

Zero-config setup
Automated test generation
Scalable remote browser execution
Rich test specifications
Autonomous browser flows
Clear results in GitHub, VS Code, or dashboard
Training, testing, monitoring, and deploying autonomous browser agents

Use cases

End-to-end QA for web applications
Automating workflows with AI-powered browser agents
Building next-gen browser agents for improved performance

Pros

Fully automated testing that runs on every code change without manual setup
Provides clear pass/fail results with screenshots and video replays of test executions
Integrates directly into existing workflows via GitHub, VS Code, or dashboard
Catches critical user flows like signup, login, and checkout before they reach customers
No infrastructure maintenance required—handles browser runs, testing, and results processing

Cons

Limited to browser-based testing and does not cover non-UI components or backend logic
Requires live application access for testing, which may pose security considerations for some environments
Dependent on AI-generated test coverage, which may miss edge cases not anticipated by the model

Debugg AI videos

Frequently asked questions about Debugg AI

How does DebuggAI know what to test in my app?

DebuggAI uses AI to explore your app like a real user, automatically identifying and testing critical flows such as signup, login, and checkout without requiring manual test scripts or predefined paths.

Do I need engineers to set up DebuggAI?

No technical setup is required. DebuggAI connects to your app in minutes with a one-click GitHub integration, handles the testing infrastructure, and provides results directly in your workflow.

Is my data safe when using DebuggAI?

Your code remains secure with encrypted, isolated, and temporary access. DebuggAI does not require code changes and ensures sensitive data is protected during testing.

What happens when my app changes?

DebuggAI automatically detects every change and starts testing right away, providing fast pass or fail results with screenshots and videos to help identify issues before they reach customers.

How fast do I see results after setting up DebuggAI?

DebuggAI delivers results in minutes, with a typical setup taking around 2 minutes and full testing completed within a few minutes for each change.

Can DebuggAI integrate with my existing tools?

Yes, DebuggAI integrates directly with GitHub and provides results in your workflow, eliminating the need for additional dashboards or manual tracking.