In this talk, we’ll explore the transformative potential of integrating Large Language Models (LLMs/SLM’s) with test automation tools to introduce self-healing capabilities. As software systems grow increasingly complex, teams struggle to keep pace with frequent changes in code and UI. This often results in brittle test scripts that require constant maintenance, undermining the efficiency gains that automation is supposed to deliver. However, by harnessing the power of LLMs, we can create more intelligent, adaptive systems capable of identifying and rectifying issues in real-time, drastically reducing manual intervention. After understanding the theory of how this works we dive into the live video of it working and explore how LLM helps understand problems and fix it in real time with playwright, Mistral and Lamma.
Talk Takeaways
Shray Sharma, an adept, impact-driven Lead Test Engineer, brings over 12 years of versatile experience spanning diverse domains including banking, the stock market, FPGA, low-code localization, and ML/AI. He is currently exploring the world of AI and pushing the boundaries inch by inch.
