Ghostship offers AI‑driven autonomous testing that integrates directly with GitHub to generate test scenarios, detect bugs, and provide detailed reproduction steps with code snippets. By analyzing product flows and pull‑request diffs, it creates alerts and suggested patches, enabling developers to ship faster with fewer user‑facing errors. The platform handles setup, test creation, and bug fixing guidance without manual effort.
Funding
Funding not disclosed
Founders
Product
Problem
Developers often discover bugs only after code is merged and released, leading to costly rollbacks, delayed releases, and a poor user experience. Manual testing of complex user flows is time‑consuming and prone to gaps, especially when changes are frequent in fast‑moving development cycles.
Solution
Ghostship provides an AI‑driven testing platform that integrates directly with GitHub repositories. The system automatically analyzes pull‑request diffs and product logic to generate realistic test scenarios covering critical user flows. For each detected issue, Ghostship supplies step‑by‑step reproduction instructions, screenshots, and the exact code fragment responsible, along with a suggested code snippet to fix the bug. Test results and alerts are delivered within the GitHub workflow, enabling developers to address defects before code reaches production and maintain high release velocity.
Target Audience
Ghostship is aimed at software development teams that use GitHub for version control and need automated quality assurance for web applications, particularly those delivering frequent releases.
Features
- Native GitHub integration that monitors pull‑request changes and triggers autonomous test generation
- AI agents that create end‑to‑end test scenarios based on identified product flows and code diffs
- Automatic detection of failing paths with detailed reproduction steps, annotated screenshots, and highlighted code chunks
- Suggested patch snippets that can be applied directly to the offending code
- Continuous alerting and reporting within the pull‑request interface to streamline developer review