QApilot Sponsors HYSEA 2026 - Featuring a Hands-On AI Native Testing Masterclass

QApilot is thrilled to announce its participation as a Featured Sponsor at the 33rd HYSEA Annual Summit & Awards 2026, one of Hyderabad’s premier gatherings of technology leaders, innovators, and enterprise decision-makers.

Aligned with this year’s theme, “Intelligence Everywhere: Leading the New Era of Transformation,” QApilot will not only showcase its AI-native mobile testing platform at the event but will also conduct a hands-on technical masterclass focused on building intelligent testing systems.

Masterclass: Building AI-Native Testing Systems

Designed for QE professionals and SDETs with 3–8 years of experience, the masterclass will bring together practitioners from IT services firms, product companies, and GCCs across Hyderabad.

Participants are expected to be familiar with AI tools and comfortable coding in Python or JavaScript. The session will move beyond surface-level prompting and explore how AI-driven testing systems are architected using graphs, agents, evaluation frameworks, and MCP servers.

What Participants Will Experience

The masterclass will follow an interactive, build-oriented format.

Graph-Driven Test Case Generation

Participants will work with a pre-generated knowledge graph of a mobile application, where each node contains:

• Screenshots

• XML

• Screen type

• Relevant metadata

Using structured context from the graph, attendees will generate BDD test cases optimized for specific features and user flows, demonstrating how contextual grounding improves LLM output quality.

Agent-Based Test Execution

Building on the generated BDD cases, participants will construct an execution agent capable of:

• Interacting with Appium tools exposed through an MCP server

• Executing test steps autonomously

• Capturing structured outputs, including BDD steps, identified elements, actions taken, and execution responses

This task bridges AI-generated intent with real-world automation workflows.

Evaluating AI Outputs

The masterclass will also introduce evaluation techniques, including LLM-as-a-judge approaches and validation against manually annotated datasets. Participants will explore how evaluators can measure the accuracy of contextual signals, such as screen-type classification.

Demonstrations at the QApilot Stall

At the event stall, attendees will be able to:

• Experience QApilot’s zero-touch sanity testing

• See how its AI-native crawler constructs contextual knowledge graphs

• Explore autonomous stabilization and reporting workflows

• Engage in discussions around integrating intelligent testing into CI/CD pipelines

Through both the masterclass and live demonstrations, QApilot aims to contribute meaningfully to conversations around the future of AI-driven quality engineering.

The team looks forward to connecting with the Hyderabad technology ecosystem at HYSEA 2026.