Debugg AI

DebuggAI is an autonomous QA engineer that integrates directly into your development workflow and automatically tests every code change—without requiring any test setup, selectors, or configuration.

Whenever you open a pull request or push a commit, DebuggAI:

1. Understands the code change

It analyzes the diff, dependencies, routes, UI components, and affected user paths. From this, it predicts how a real user would be impacted and generates targeted browser test plans.

2. Spins up real, isolated browsers

Using a scalable remote browser grid, DebuggAI launches fresh Chrome/Edge sessions on demand. Each test runs in a clean environment, simulating true user interactions: clicking, form filling, navigation, network requests, authentication, and responsive behaviors.

3. Executes end-to-end tests automatically

It performs real user journeys — not synthetic scripts — driven by an AI agent fine-tuned on thousands of UI patterns, DOM changes, and interaction flows.

DebuggAI detects:

Broken UI and layout regressions

Flaky or missing interactions

Page load issues and console errors

API failures and server regressions

Mismatched states and UX-breaking edge cases

Auth/session bugs

Cross-browser inconsistencies

4. Reports bugs directly inside GitHub

Instead of giving a test log, DebuggAI returns actionable insights:

PR comments with steps to reproduce

Screenshots, videos, and DOM snapshots

Root cause explanations

Suggested fixes

Confidence scoring

Diff-aware reasoning (e.g., “This broke due to the routing changes in app/sidebar.tsx”)

Every test is linked to the commit that triggered it.

5. Improves itself over time

DebuggAI continuously learns from:

Your engineering patterns

Repeat bugs

DOM structures and component architectures

Historical PR outcomes

Browsing telemetry and agent training data

Within weeks, it starts behaving like a senior QA engineer who knows your codebase.