AI Agents

MCP vs REST APIs vs Plugins — Day 3 of the AI Agents series. The shift from calling systems to thinking systems.…

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…

I built an AI agent that knows when to quit using LangGraph — real escalation design with stop conditions. Prevent retry loops…

AI agent integration with LLMs and business tools — complete 2026 guide. Architecture, security, CRM and database connections for production agents.

AI agents in software testing — the future of QA automation in 2026. Use cases, tools, benefits and how QA engineers adapt…

The future QA engineer (2025–2030): part developer, part prompt engineer, part data curator. What the shift means and which skills to build…

n8n stable version released — what's new for QA engineers and SDETs. New nodes, fixes and what this release means for agentic…

AI Agents vs Agentic AI — stop confusing these two concepts. 90% of developers get this wrong. Clear explanation with real examples…

The most powerful testing framework of 2026: Pytest + FastAPI + GPT-5 for full-stack intelligent testing. Real architecture for autonomous automation.