See Autonomous Automation with ACCELQ at AutomationSTAR Test Automation Deep Dive Event 2025
ACCELQ is shaping the future of automation at AutomationSTAR Test Automation Deep Dive Event. It’s designed for anyone interested in or currently working in test automation, from enthusiasts and beginners to seasoned professionals. The event features a series of talks by various experts, including Nishan Joseph from ACCELQ, who will be discussing the limitations of AI-generated code for automation. From cutting-edge topics like AI-powered testing to sustainable automation practices, AutomationSTAR provides an unparalleled platform for professionals to exchange ideas, build connections, and gain the expert knowledge needed to implement new, transformative practices the moment they return to work.
Mark your calendars:
- Date: 30th September 2025
- Time: 9:00 CEST
- Location: Online
Catch ACCELQ’s Head of Sales Engineering, Nishan Joseph speaking about, “The Copilot Trap: Why AI-Generated Code Based Automation Is Not Sustainable” on 30th September at 2:00 PM CEST. Nishan’s presentation will be a wake-up call for the industry, challenging the widespread notion that AI-generated code is the ultimate solution for rapid test automation. While tools like Copilot and ChatGPT offer undeniable speed and convenience, The fundamental issue is that these tools often produce isolated, fragmented scripts that are not designed for long-term sustainability. They lack an understanding of the bigger picture, the end-to-end business workflows and the overall architecture of an application.
This session promises to challenge conventional wisdom and provide critical insights into the long-term viability of AI in test automation. Instead of generating more code, ACCELQ will showcase an “intent-first” strategy, allowing teams to build robust test flows using natural language.
In essence, the future of automation, as ACCELQ sees it, lies in intelligent design, not just faster code generation.
Key Takeaways:
- AI-generated code isn’t scalable for long-term automation.
- Lack of context leads to poor test coverage and reliability.
- Code-only approaches increase technical debt and maintenance cost.
- End-to-end business flows demand intelligent, reusable test design.
- Sustainable automation needs context-aware, low-maintenance solutions
See you there!
