Not long ago, a North-American tech startup proudly launched an LLM-powered chatbot for customer support. The leadership team was confident. After all, the LLM had been trained on extensive historical chat logs and performed well in basic internal testing. So what if thorough pre-deployment chatbot testing for the LLM was not conducted? However, within a few hours, customers started…
A few years ago, while setting up a large-scale test automation project for an eCommerce giant, I encountered one of the most frustrating challenges in Selenium test automation; handling dynamic web elements in Selenium Webdriver. Our test suite was designed to cover thousands of test cases, yet every UI update caused major test failures. XPath locators broke overnight, elements…
Last year, we worked with an ambitious eCommerce startup from the USA that was preparing for its biggest launch yet. Everything seemed on track, until the day of the event. Thousands of customers rushed in, but many could not complete their payments. Transactions failed inexplicably, payments were deducted but orders were not placed, and customer support was overwhelmed with…
Recently, a founder approached me with a dilemma. He had secured funding, validated his startup idea, and was ready to build his MVP. However, there was a problem; he wasn’t a technical expert. Hiring a full-time, in-house development team was too expensive, and he had no idea how to manage software engineers. He asked me the same question many…
For decades, Apache JMeter has been the industry standard for load testing, especially for performance engineers and QA teams working with web applications, APIs, and microservices. It’s open-source, widely adopted, and extremely powerful in terms of simulating user traffic under load. But if you’ve ever tried using JMeter at scale, you know it comes with its fair share of…
