Learn how to survive and adapt as a solo test lead on a large, long-running project.

Identify, test and improve AI guardrails through a structured, scenario-based framework that addresses common implementation failures and attack patterns.

Explore the boundaries of AI-generated software by live-testing a word search tool and using collaborative techniques to identify gaps in logic despite passing all initial automated tests.

Master this framework to systematically verify, secure & improve the output quality of AI coding agents using both deterministic & model-grade.

Get a real feel for “vibe coding” — where you collaborate with AI to build working solutions quickly.

Learn how system design concepts can be applied to test engineering.

Evaluate the shift from "automate all" to "review all" by using AI agents for test plans while applying human-led ACE feedback to ensure code quality and business relevance.

Master the core functionalities and practical implementation of TestComplete through a hands-on demonstration of UI automation, object mapping, and CI/CD integration for desktop applications.

A paradigm shift from using AI as a coding assistant to directing AI agents as an intelligent workforce

A series of 99-second talks exploring careers, community, AI, accessibility, hiring, and the human side of quality engineering.

Jagrit Gyawali argues that quality engineering is really about shared ownership, fast feedback, and confident delivery.