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Stop wasting hours guessing which tests to automate—let our API intelligently match your codebase with the optimal automation framework and recommend the highest-impact test cases.
This API solves the inefficiency of manual test automation selection by using machine learning to analyze your project's code, dependencies, and history. It provides data-driven recommendations for frameworks, test cases, and prioritization, cutting planning time by up to 80% and boosting coverage. Unlike generic tools, it learns from your specific context via simple REST endpoints.
## What's Included
- Automated test case prioritization and matching based on code changes and risk analysis - Framework recommendation (e.g., Selenium, Cypress, Playwright) aligned with your tech stack - Continuous learning from past test results to refine future suggestions - Simple REST API with endpoints for project analysis, recommendation retrieval, and feedback - Supports multiple languages (JavaScript, Python, Java, C#, etc.) and CI/CD pipeline integration