Ghostship
- Use Cases
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- Pricing
- Custom
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Overview
The platform integrates seamlessly with your GitHub workflow, running comprehensive tests on every pull request to catch issues early.
The AI agents work by analyzing your codebase and autonomously generating test scenarios that cover edge cases human testers often miss. These vision-based computer agents crawl through your entire interface, simulating real user interactions and identifying broken user flows that could impact your business.
Details
Every time you create a new pull request, Ghostship automatically analyzes the code differences and spins up targeted testing agents. The system intelligently determines what needs testing while also allowing you to specify critical user flows that must always be validated.
When bugs are discovered, Ghostship provides detailed reports with reproduction steps, relevant code snippets, and visual evidence, including screenshots. The platform delivers notifications through your preferred communication channels, ensuring your team stays informed about any issues found.
🤖 AI-Powered Test Generation
Autonomous agents that create comprehensive test scenarios covering edge cases
🔄 GitHub Integration
Automatic testing triggered on every pull request with CI/CD workflow integration
🎯 Smart Analysis
Codebase analysis determines what to test based on your commit changes
📸 Visual Bug Reports
Complete bug documentation with screenshots, reproduction steps, and code context
🚀 Real User Simulation
Vision-based agents that interact with your app exactly like real users would
⚡ Pre-Production Detection
Catch bugs before they reach production and impact customer experience
The platform is designed for development teams who want to ship quality software faster without the overhead of manual testing. By automating QA processes, Ghostship helps prevent customer churn caused by bugs while enabling rapid feature deployment.
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