Webinar Description
Key Takeaways
- Explores the operational risks and quality challenges of AI-generated code
- Discusses practical strategies for integrating quality assurance into AI code generation workflows
- Examines the evolving roles within engineering teams as AI adoption accelerates
- Highlights the importance of context-driven testing for AI coding agents
As artificial intelligence continues to reshape software development, the conversation around code quality and operational risk is becoming increasingly urgent. “AI Can’t Say If You Built the Right Thing” brings together industry leaders to address the realities of AI-generated code and its impact on engineering organizations.
Industry Context: AI’s Expanding Role in Software Development
With more than half of production code now being generated by AI, organizations are moving beyond early experimentation and facing the practical implications of large-scale adoption. While the promise of accelerated delivery is clear, teams are encountering new challenges—ranging from subtle quality issues to unforeseen downstream risks and hidden operational costs.
Virtual Fireside Chat: Strategies for Quality in AI Code Generation
Testmo Product Lead Simon Knight will host a candid discussion with John-Paul Herold, VP of Engineering at Sembi. The session will focus on actionable approaches for improving the reliability and maintainability of AI-generated code. Topics include designing code generation processes that embed quality checks, leveraging test cases to provide richer context for coding agents, and adapting engineering workflows to keep pace with rapid technological change.
Changing Roles and Team Dynamics
The rise of AI in software engineering is prompting a shift in team responsibilities and required skill sets. The discussion will explore how roles are evolving, what new competencies are emerging, and how organizations can position themselves to manage both the opportunities and risks of AI-driven development.
Event Details
Date: June 25, 2026
Time: 3:00 PM (virtual event)
This session is designed for engineering leaders, quality assurance professionals, and anyone interested in the operational realities of AI-powered software development. The conversation aims to provide practical insights and foster a deeper understanding of how to build resilient, high-quality systems in an era of rapid automation.