Role QA
Overview
Ghostship is an AI-powered testing tool that identifies bugs before they reach users, enabling developers to ship code confidently and efficiently.
Key Features:
- GitHub integration
- Autonomous test generation
- Real-time notifications
- Reproduction steps
- Relevant code chunks
Use Cases:
- Testing pull requests before merging
- Simulating user interactions
- Identifying bugs during checkout
- Validating business logic
- Improving release velocity
Benefits:
- Fewer bugs in production
- Faster shipping of code
- Enhanced user experience
- Increased team productivity
- Reduced debugging time
Capabilities
- Autonomously crawls and simulates real user interactions on web apps to find bugs
- Analyzes GitHub repositories and PR diffs to decide what to test per pull request
- Runs AI-generated end-to-end test scenarios derived from product analysis and diffs
- Executes vision-based UI agents that perform simulated user flows in the application
- Produces step-by-step reproduction instructions for discovered bugs
- Captures and attaches screenshots and visual evidence for each reported bug
- Highlights relevant code chunks (file and line ranges) linked to the failing behavior
- Generates suggested code snippets/patches to fix identified issues
- Runs as a GitHub-native CI/PR check that validates pull requests before merge
- Delivers real-time notifications of agent findings to team communication channels
- Allows specifying or prioritizing critical user flows for focused testing
- Targets web applications initially (spins up agents per PR for web app interfaces)