Testleaf

Agentic AI

Rag vs AI agents vs MCP

RAG vs AI Agents vs MCP: Which GenAI Approach Should QA Engineers Learn in 2026?

  Software testing is evolving faster than ever. Automation alone is no longer enough. In 2026, intelligence will separate average testers from strategic quality engineers. Three technologies are shaping this transformation: Retrieval-Augmented Generation (RAG) AI Agents Model Context Protocol (MCP) Understanding these approaches is no longer optional. It is becoming essential for professionals working in …

RAG vs AI Agents vs MCP: Which GenAI Approach Should QA Engineers Learn in 2026? Read More »

Agentic AI testing matters

Test Data Management for BFSI: From Masking to Agentic AI

  Introduction  Test data is the lifeblood of quality assurance in the BFSI (Banking, Financial Services, and Insurance) sector. In my journey as a QA Manager working across leading investment banking platforms, I’ve faced—and solved—challenges that are unique to highly regulated, data-sensitive domains. This blog shares my real-world experience, explores why traditional approaches fall short, …

Test Data Management for BFSI: From Masking to Agentic AI Read More »

Accelerate Your Salary with Expert-Level Selenium Training

X