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
Tag: DeepEval
Why Gemma 4 QAT Struggles in Local Coding Agent Tasks
Gemma 4 QAT refers to Google’s quantization-aware versions of Gemma 4, designed to reduce memory use and improve local inference speed on developer machines. In a direct head-to-head coding-agent task using VS Code and DeepEval, Gemma 4 QAT produced structurally incomplete test code — initializing evaluation metrics without applying them correctly and omitting the required… Continue reading Why Gemma 4 QAT Struggles in Local Coding Agent Tasks
A Guide to LLM Testing and Evaluation for Modern QA Teams
Introduction The world of software is undergoing a seismic shift. Large Language Models (LLMs) are no longer a novelty; they are being integrated into a vast array of applications, from customer support chatbots to sophisticated code generation tools. For QA professionals and developers, this represents a new frontier in software testing as well, one that… Continue reading A Guide to LLM Testing and Evaluation for Modern QA Teams