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I will build ai powered QA automation framework using playwright
AI Augmented QA Automation Engineer With UI, API, Regression Testing
I'm an AI-Augmented QA Automation Engineer specializing in Playwright, Selenium, Python, and API testing. I have personally developed an AI-driven Agentic Automation Framework that leverages Playwrigh...
Informazioni su questo servizio
Are you tired of brittle test suites and endless maintenance? Welcome to the next generation of QA.
I will build a cutting-edge, AI automation framework powered by Playwright and autonomous agentic loops (Planner, Generator, Healer) that completely eliminates the pain of broken locators and manual script updates.
Why This Framework is Different:
- Self-Healing UI Tests: If a UI element changes, the Healer agent dynamically analyzes and repairs the locator on the fly using MCP server tools.
- Autonomous API Testing: The Planner and Generator agents read your OpenAPI / Swagger documentation to automatically build, validate, and scale your integration test suite.
- Unified Reporting: Comprehensive Allure reports track historical execution trends, failures, and environment data.
️ Production-Ready CI/CD Pipeline (GitHub Actions):
- Job 1: Parallelized Playwright UI regression execution.
- Job 2: High-speed API testing contract verification.
- Job 3: Merges test data, publishes trends to GitHub Pages, and sends a styled slack notification.
Get a high-performance QA automation framework built for modern dev teams. Message me today to schedule a demo before placing your order!
Applicazione di testing:
Applicazione web
Tecnologia di sviluppo:
JavaScript
•
TypeScript
Dispositivo:
PC
•
Mac
•
Telefono cellulare Android
Il mio portfolio
FAQ
What technologies do you use for QA automation?
I specialize in building custom, high-speed QA automation framework solutions using Playwright, NodeJs/TypeScript, and Model Context Protocol (MCP) servers to drive our AI automation capabilities.
How does the self-healing UI automation work?
The framework leverages an agentic architecture. When a locator fails, the Healer agent steps in, looks at the updated DOM structure, dynamically finds the correct element, and self-heals the execution without failing the pipeline unnecessarily.
Can the API testing agent handle complex swagger documentation?
Yes! The Planner and Generator agents ingest your OpenAPI/Swagger endpoints, map out dependency relationships between requests, generate valid test data payloads, and assert correct API status codes and schemas.
How are Allure trends saved in the CI/CD pipeline?
The GitHub Actions pipeline is optimized to fetch historical report artifacts from your previous runs (or GitHub Pages), merge them with the latest UI and api testing run data, and regenerate a continuous trend line.
Do I receive notifications when a test fails?
Absolutely. The third job in the GitHub Actions pipeline compiles the results and sends a beautifully formatted Slack notification detailing overall pass rates, failures, and direct links to the live Allure dashboard.
