What an Agent Does
See how an agent goes beyond chat by using tools to complete a QA task.
Build a simple agent that retrieves a Jira requirement through Atlassian MCP, generates test cases and adds them back to Jira.
The webinar deliberately keeps the workflow simple so you can clearly see how agents and MCP connect AI to a real QA system.
Use Atlassian MCP to give the AI QA Agent controlled access to Jira.
The agent reads a live Jira requirement directly from the project system.
AI turns the requirement into structured test cases, including relevant positive, negative and boundary scenarios.
The agent adds the generated test cases back into Jira to complete the workflow.
See how an agent goes beyond chat by using tools to complete a QA task.
Understand the role of Atlassian MCP in tool-connected AI workflows.
See a repetitive requirement-to-test activity completed end-to-end.
Choose either live session. We’ll use the hour for the agent demo and a short overview of the complete AI-Ready SDET master class.
Requirement clarification, review of AI-generated tests, coverage analysis, human approval, automation generation, multi-agent workflows, CI/CD and deeper connected QA engineering are reserved for the full program.