Generative AI for QA: How SDET Workflows and Skills Are Changing

At a Glance Generative AI for QA: Where Generation Ends and Orchestration Begins The real shift is not better prompts. It is better workflow design. The verification gap: According to the Stack Overflow 2025 Developer Survey, 45.2% of developers now spend more time debugging AI-generated code than writing it manually — workflows have shifted from… Continue reading Generative AI for QA: How SDET Workflows and Skills Are Changing

How to Test MCP Servers with DeepEval

MCP server testing is the practice of validating that a Model Context Protocol server exposes the right tools, passes the right context, preserves session state across turns, and returns outputs an LLM can use correctly in real agentic workflows. For QA teams building AI products, this means testing not just API responses but complete tool-driven… Continue reading How to Test MCP Servers with DeepEval

Claude Code with Playwright MCP: Agentic AI Test Automation Setup Guide

Claude Code with Playwright MCP is an agentic QA workflow where Claude Code uses the Playwright Model Context Protocol server to connect a coding agent to a live browser. The agent navigates the application, reads the actual DOM, captures real selectors, and generates executable Playwright tests from what it observes — instead of guessing page… Continue reading Claude Code with Playwright MCP: Agentic AI Test Automation Setup Guide

Why Manual Testing Isn’t Dead—But AI is Changing the Game

Human testers aren’t being replaced; they’re being repositioned as quality strategists who guide AI-powered workflows. Stop asking whether AI will take your job, and start asking how AI makes you the most valuable tester your organization has ever seen. Nearly nine out of ten organizations are now actively pursuing generative AI in their quality engineering… Continue reading Why Manual Testing Isn’t Dead—But AI is Changing the Game

How to Implement AI Test Automation Frameworks

AI test automation frameworks are transforming how teams build, execute, and maintain test suites by embedding intelligence directly into the testing workflow. Start small with a pilot framework implementation, prove ROI on a single project, then scale AI testing capabilities across your organization. Building an AI test automation framework requires more than bolting AI features… Continue reading How to Implement AI Test Automation Frameworks