Agentic AI

k6 2.0.0 removes deprecated APIs, executors, and CLI commands. Here’s what QA engineers and SDETs must know before upgrading.

Build a self-healing load test with k6 and AI that auto-tunes thresholds and fixes regressions automatically. Real SDET implementation guide.

Load test microservices with k6 and LLM-generated AI personas that behave like real users. Replace static payloads with intelligent dynamic test data.

MCP Architecture deep dive — How AI agents, tools and context layers actually work under the hood. For QA engineers and SDETs.

How I reduced automated testing time by 60% using AI agents. The shift from automation to intelligence — real patterns from a…

LangChain 0.3.86 fixes a critical path traversal vulnerability. What QA engineers and SDETs must know — impact, upgrade steps and security checklist.

Appium 2.4.2 is out. What the latest release means for QA engineers — new features, breaking changes, stability fixes and upgrade planning…

How vector database latency impacts AI-driven test optimization in the Agentic QA stack. Why a slow vector store makes your LLM test…

Build a persistent memory system for your AI testing agent using LangChain so it stops forgetting context between runs. Full implementation guide.

Why MCP matters for AI agents — Day 2. Four real-world use cases of Model Context Protocol in QA automation, DevOps and…