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Ghostship

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Ghostship detects bugs before users do ensuring smooth code releases.

Contact for Pricing
Agents Testing 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)

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