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Fiverr Pro
English
$
USD
I will develop QA agents using playwright mcp
Software Engineer
Hi, I'm Tayyab. I build production AI systems/Agents end-to-end — architecture to deployment.
Years shipping reliability-critical work across HR, healthcare, fintech, and ecommerce. Now fully focused...
Level 1
Has met certain performance criteria and shows strong potential in the marketplace.
About this Gig
I will build AI QA Agents using Playwright MCP that autonomously test your web applications and find real bugs, defects, and UI issues against business requirements.
My agents can autonomously navigate applications, execute test scenarios, detect bugs, generate HTML reports, capture screenshots/videos, and integrate with tools like Slack, Jira, and Teams for faster issue tracking.
Services include:
- Functional Testing
- Full Stack Coverage
- Browser Automation
- Cross Browser Testing
- Performance & Load Testing
- Usability Testing
- AI Generated Bug Reports
- Screen Recordings & Detailed Reports
Perfect for SaaS platforms, web applications, dashboards, admin panels, and enterprise systems.
DM me to understand better before placing the order. Thanks!
Testing application:
Website
Development technology:
JavaScript
•
Python
Device:
PC
My Portfolio
FAQ
What types of applications can your AI QA agents test?
It can test SaaS platforms, dashboards, admin panels, eCommerce sites, enterprise apps, and modern web applications using Playwright-MCP automation.
Will you provide bug reports with screenshots or recordings?
Yes. Detailed HTML reports, annotated screenshots, console logs, and screen recordings can be included based on the selected package.
Do you support cloud deployment?
Yes. I can help deploy QA agents on cloud servers using Docker, GPU instances, or scalable browser automation infrastructure for larger workloads.
What hardware is required to run the AI QA agents locally?
Minimum 16GB RAM system is recommended.
Do I need cloud infrastructure to use the QA agents?
Not necessarily. The agents can run locally on capable systems such as high-performance MacBooks. Cloud deployment is recommended only for large-scale or enterprise workloads.
