DEV Community: Burak

From Chaos to Clarity: AI-Powered Performance Architecture Masterclass

Burak — Thu, 26 Mar 2026 08:50:35 +0000

What happens when you hit a system with 1,000 concurrent users, watch it crash, and instead of manually digging through 14,000 lines of chaotic logs, an AI tells you exactly what went wrong in seconds? Welcome to the future of Quality Assurance! In my new 4-part series, we are leaving the old manual log-hunting behind to build a fully autonomous performance testing architecture. We start by filtering the noise to create clean, AI-ready JSON data in Part 1: The Filter. Then, we use advanced prompt engineering to design a "Senior AI Persona" that thinks like an expert architect in Part 2: The Brain. Once the brain is ready, we fuse our JMeter results with real-time database metrics to catch the exact system bottleneck red-handed in Part 3: The Insight. Finally, we automate this entire "digital detective work" inside a CI/CD pipeline, paving the way for self-healing infrastructure in Part 4: The Vision. If you are ready to level up from a traditional test executor to a Next-Gen Performance Architect, grab your coffee and dive into the full on Medium!

Is Cursor AI a threat or a help for 5-years QA Engineer?

Burak — Thu, 05 Mar 2026 08:07:37 +0000

Hi everyone,

I am working as a QA Engineer for about 5 years now. Recently, my company and team started to integrate Cursor AI into our daily workflow. We are trying to use it for everything: writing test cases, creating test automation scripts, and even analyzing logs.Actually, I am a bit worried. I feel like this process will negatively impact me in the long run.My questions to other QA Engineers:

Are you actively using Cursor in your professional projects?
How efficient is it really for complex test automation?
Do you think using these AI tools will make us "lazy" or lose our technical skills?
I want to hear your experiences. Is it a "Power-up" for our career or we are losing our engineering touch?

Finding the Breaking Point: Data-Driven Load Testing with JMeter & Docker

Burak — Sat, 28 Feb 2026 15:40:21 +0000

Hey everyone!
As a QA engineer, I know how hard it is to create real, data-driven performance tests. Managing dynamic test data and finding the actual breaking point of an application can be a real headache.
Recently, I built a complete test environment to solve this problem. I wrote a 3-part series about my solution, and the final architectural deep-dive is now published on ITNEXT.
In this article, I explain:

• Setting up a local target app with Docker and simulating 1,000 concurrent users.
• How to dynamically use CSV files in JMeter for data-driven testing.
• How to run heavy tests without GUI mode (CLI mode) to save system resources and get accurate results.
(Note: You can also find the links to Part 1 and Part 2 inside this article if you want to see the basics!)
If you want to improve your performance testing skills, I think this will help you. I also shared my code snippets and configs.
📖 You can read the full story here:
https://itnext.io/jmeter-performance-testing-part-3-finding-the-breaking-point-with-data-driven-scenarios-0d7b7924b5a3
I would love to hear your feedback! How do you handle massive test data in your own projects?