The Last Manual Handoff: Redesigning End-to-End Testing in the Age of AI
We automated test execution. We automated regression. We automated reporting, data creation, test design, and even parts of defect analysis. And yet, end-to-end testing still feels painfully manual.
Why? Because while we automated the activities, we forgot the spaces between them. Requirements wait to be understood. Test data waits to be prepared. Systems wait to be configured. Scripts wait for context. Failures wait to be investigated. Defects wait to be documented. And engineers remain the invisible integration layer carrying information from one testing activity to another. Perhaps the biggest inefficiency left in modern Quality Engineering is not another manual task. It is the manual handoff.
This talk explores the next evolution of AI in testing: moving from isolated copilots and productivity tools toward agentic, context-aware Quality Engineering systems capable of participating across an end-to-end testing lifecycle. Through the real engineering journey behind Main Tester United, I will demonstrate how we connected AI agents, enterprise systems, test data, automation, engineering knowledge, execution, and reporting into a productionized approach used for real end-to-end testing.
The live demonstration goes beyond generating test cases or writing automation scripts. It shows how AI can gather context, understand testing objectives, prepare prerequisites, coordinate activities, create engineering artifacts, support execution, investigate failures, and connect insights across the testing lifecycle.
But the talk also confronts the harder questions. What decisions should remain human? How much autonomy should we give AI agents? What happens when incorrect context travels faster than correct information? And are we ready to trust an engineering system that can act, not merely answer?
The future of Quality Engineering may not be about automating the next testing task. It may be about removing the gaps between all of them. We automated the work. Now it's time to engineer the flow.
Key Takeaways:
Recognize the hidden cost of handoffs in E2E testing — understand why engineers still act as the invisible integration layer, manually carrying context, data, decisions, and knowledge between increasingly automated testing activities.
Shift from task automation to intelligent flow orchestration — discover how AI and agentic systems can connect understanding, preparation, execution, investigation, and reporting into a continuous Quality Engineering flow rather than optimizing isolated tasks.
Redefine the human role in AI-powered Quality Engineering — learn where human judgment must remain central, how much autonomy AI should receive, and why the future belongs not to teams that automate the most, but to those that engineer the flow best.
About the speaker
Sachin Sharma:
Sachin Sharma is one of the Co-founders of The Test Chat, one of the fastest-growing software testing communities, connecting thousands of quality engineering professionals through learning, collaboration, and knowledge sharing. Over the years, he has actively contributed as an ambassador to multiple testing communities and has had the privilege of speaking at several national and international conferences. One of the most rewarding parts of this journey has been building meaningful relationships with passionate testers, engineering leaders, and community builders across the globe. Professionally, Sachin currently works as a Quality Engineering Leader at adidas, where he focuses on driving quality transformation through scalable engineering practices, strategic testing, and continuous improvement. Over the past few years, his curiosity has evolved beyond automation and AI adoption to a much bigger question: how can we fundamentally improve the way engineers think? While Artificial Intelligence is rapidly transforming software engineering, Sachin believes its greatest value lies not in replacing human thinking, but in amplifying it. His work explores how AI can help engineers observe better, analyze deeper, collaborate smarter, and ultimately make better engineering decisions. His sessions blend storytelling, psychology, engineering principles, practical innovation, and thought-provoking analogies to challenge conventional thinking. Whether he speaks about AI, leadership, quality engineering, or efficiency, the destination is always the same: helping engineers think differently before they build differently. Sachin strongly believes that the future of engineering won't belong to the teams that automate the most. It will belong to the teams that think the best.
About
TestMu Conf
Testμ (TestMu) is the world’s largest virtual conference on agentic engineering and quality, built by the community, for the community. As AI reshapes how we build, test, and ship software, Testμ Conf is where you connect, grow, and lead: agentic workflows, autonomous quality, battle-tested AI playbooks, hands-on workshops, and the engineering culture driving it all.
More Sessions
Join the builders, testers, and innovators shaping the next generation of web experiences.
Testμ Conf 2026 is where they meet.
