Battle of AI Test Tools
Experience the best AI test tools hands-on—and see how they fit into your testing strategy
The Battle of AI Test Tools is a live, in-person event hosted by Innovate QA, designed to move beyond demos, slides, and marketing claims—and show how AI testing tools actually perform in real-world conditions.
This is not a traditional conference.
At the core of the event is a live testing battle, where teams use AI-powered testing tools against real products, real workflows, and real constraints. Attendees get a hands-on, front-row view into how these tools behave when the stakes, complexity, and time pressure are real.
Alongside the battle, the event offers parallel tracks for presentations and networking, allowing attendees to shape their own experience:
Live leaderboard updates, judge commentary, and team insights connect everything together—so even if you're not competing, you're continuously learning from what's happening in the battle.
What Makes This Event Different
Real tools. Real testing. Real constraints.
Experience AI testing tools in authentic scenarios, not controlled demos.
Transparent comparison with clear judging criteria
See how tools perform with objective evaluation and live results.
Practitioner-first learning, not sales pitches
Learn from engineers who use these tools daily in production.
Focused on clarity and outcomes—not hype
Get evidence-based insights to make informed decisions about AI testing.
The Battle of AI Test Tools is built for leaders and practitioners who want to make smarter, more confident decisions about AI in testing—based on evidence, not promises.
Schedule
April 3, 2026 · AWS Builder Loft, San Francisco
Registration & Breakfast
Check-in, grab your badge, and network over breakfast
Welcome
Welcome
The Great Shift Left: When AI Moves Faster Than Your Roadmap
Rashi Agrawal - Hinge Health
Quality Engineering in the AI Era: From Test Execution to Trust Building
Manju Abraham -
Testing Starts
Can AI Actually Test Software? Lessons from Real-World Experiments
Deep Barot - ContextQA
Are We Testing AI… or Is AI Testing Us?
Darrel Farris - mabl
As AI takes a larger role in generating and executing tests, the traditional boundaries of quality ownership are shifting. This discussion explores trust, accountability, and what it means to validate systems when the logic behind tests is no longer fully human-written or understood.
Flaky Tests vs Flaky AI: Which Problem Is Worse?
Frederick Goris - Donobu
Flaky tests have always been a pain—but AI introduces a new kind of unpredictability. Are we actually reducing instability, or just trading one form of flakiness for another? Let’s explore debugging, reliability, and how teams can build confidence in AI-driven testing.
Testing Software That Changes Its Mind: QA in a Non-Deterministic World
Vasusen Patil - Donobu
What Should Never Be Automated by AI?
Manju Abraham -
AI can generate tests at scale—but should it? This conversation focuses on the boundaries of automation, identifying critical areas where human judgment, domain knowledge, and intuition still play an essential role in ensuring quality.
How Do You Prove ROI for AI in Testing?
Darrel Farris - mabl
Many teams are adopting AI tools without evolving their overall quality strategy. This discussion challenges whether true transformation requires deeper changes in architecture, test design, and team mindset—not just new technology.
Battle Update
Lunch & Networking
Enjoy lunch and connect with fellow attendees
Updates from Judges
Testing Continues
Darrel Farris - mabl
Developers Are Writing Tests. That's Not the Same as Having Quality
Will AI Reduce QA Headcount… or Make QA More Critical Than Ever?
Manju Abraham -
AI is reshaping the role of quality engineers. Will it lead to smaller teams, or elevate QA into a more strategic function? Let’s discuss how roles, skills, and expectations are evolving—and what that means for the future of the profession.
Is Your Test Strategy Ready for AI… or Just Your Tools?
Deep Barot - ContextQA
Adopting AI tools is easy—proving their value is not. This discussion focuses on metrics, measurement, and real-world outcomes. What does success actually look like, and how can teams justify continued investment in AI-driven quality initiatives?
AI in the QA Lifecycle - How AI tools can streamline testing processes and introduce autonomous decision-making capabilities
Priyamvada Govil - Amazon
Networking
Selected Team Presentations
Awards & Closing Remarks
What Engineers Will Gain
Built expertise and exposure that helps future-proof your QA career as AI becomes part of modern testing practices.
What Quality Leaders Will Gain
Who Should Attend
QA Leaders
QA Managers and Quality Engineering Leaders
Engineering Leaders
Engineering Managers, Directors, and VPs
QA Engineers
QA and Test Automation Engineers
SDETs
SDETs and Senior Engineers
AI Testing Enthusiasts
Anyone evaluating or adopting AI-driven testing and quality practices
Judges
Sponsors
Ready to Join the Battle?
Don't miss this unique opportunity to experience AI testing tools in action.