AI for Performance Testing #1: Can AI Replace Performance Engineers? | Ollama + Qwen + JMeter

🔔 *LIKE, SHARE, SUBSCRIBE and turn on the notification bell* so that you never miss the upcoming episodes of **AI for Performance Engineers**. Welcome to *Episode 1* of the *AI for Performance Engineers* series. *Can AI replace Performance Engineers?* With AI tools becoming more powerful every day, many testers and engineers are asking the same question: *Will AI replace Performance Testing?* In this episode, we will separate myths from reality and understand where AI can accelerate Performance Engineering and where human expertise is still irreplaceable. This is **not an AI course**. This is **not a Prompt Engineering course**. This is **not a JMeter course**. This is a *real-world API Performance Testing project* where AI acts as your engineering assistant. In this free YouTube series, we will build a complete API Performance Testing project using *FREE local AI tools* such as Ollama, Qwen, Visual Studio Code, and Apache JMeter. 🎯 *In this episode, you will learn:* ✅ Why AI matters for Performance Engineers ✅ Common myths about AI in Performance Testing ✅ Where AI adds value in the Performance Testing lifecycle ✅ Where human expertise is still essential ✅ Complete course roadmap ✅ Project overview ✅ Scope of this series (API Performance Testing only) 🚀 *Project Scenario* A client has developed a brand-new E-Commerce REST API that will go live in a few weeks. You have been assigned as the Performance Engineer. The client has shared: • Business requirements • API documentation (Swagger/OpenAPI) Throughout this series, we will complete the entire Performance Testing engagement while using AI as our engineering assistant. 📚 *Tools used in this course* • Ollama • Qwen • Visual Studio Code • Apache JMeter • Windows PowerShell 🎯 *Who should watch this series?* • Performance Engineers • Performance Testers • API Testers • Automation Testers • Manual Testers transitioning to Performance Testing • QA Leads • Students 🔥 *Engineering Insight* AI is an assistant, not a replacement for Performance Engineers. Performance Engineering requires business understanding, workload modeling, bottleneck analysis, root-cause investigation, and engineering judgment. AI can accelerate the work. Engineers make the decisions. 📌 *Upcoming Episodes* Episode 2 — Build Your FREE Local AI Assistant Episode 3 — AI Reviews API Performance Testing Requirements Episode 4 — AI Creates an API Performance Test Plan Episode 5 — AI Designs an API Workload Model Episode 6 — AI Builds a JMeter API Test Script Episode 7 — AI Analyzes a JMeter HTML Report Episode 8 — AI Writes an API Performance Test Report 👇 Tell me in the comments: Do you think AI will replace Performance Engineers, or will it become our most powerful assistant? #AIPerformanceEngineers #PerformanceTesting #JMeter #APItesting #ArtificialIntelligence