Sessions
Explore how adaptive, self-healing AI tools and an AI-driven product risk analysis can take on the heavy lifting, helping testers evolve from bug hunters into quality architects.
A lively discussion on career growth, engineering leadership, community, bringing joy to testing, and navigating AI.
BearQ continuously tests your app, reducing test maintenance and uncovering gaps scripted tests can miss.
Recognise and use the hidden leadership skills of quality professionals to explain project risks in business terms, so leaders make go-live decisions based on evidence instead of hope.
Simon Devon explores how diverse lived experiences can make testing more inclusive, uncover overlooked issues, and improve software quality.
Learn how to structure and organize test management data as an AI-ready foundation that gives AI systems richer context for testing insights and workflows.
Discover the timeless lessons Selenium creator Jason Huggins has learned over 22 years, from knowing when to quit to staying curious, and how they apply to testing and building software in the AI era.
Blessan Thomas demonstrates how an agentic AI framework can automate the testing lifecycle, using progressive context building, self-healing tests, and human oversight.
Julius Mong explores how agentic AI can transform test automation, reduce maintenance, and help testers evolve into QA orchestrators.
Getting tests that catch real failures is the hard part. Watch the recording now on demand!
BearQ continuously tests your app, reducing test maintenance and uncovering gaps scripted tests can miss.
Better than a generic video, see YOUR test, live, ready to show you what matters most: quality at scale.
Team of 5 or fewer? TestRail now starts at $22/user. Test case management, defect integrations, reporting, and more.
MoTaCon / TestBash
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Explore how adaptive, self-healing AI tools and an AI-driven product risk analysis can take on the heavy lifting, helping testers evolve from bug hunters into quality architects.
Recognise and use the hidden leadership skills of quality professionals to explain project risks in business terms, so leaders make go-live decisions based on evidence instead of hope.
Discover the timeless lessons Selenium creator Jason Huggins has learned over 22 years, from knowing when to quit to staying curious, and how they apply to testing and building software in the AI era.
Learn how to share quality ownership across your team by passing on the judgement behind your practices, using a simple responsibility model that makes accountability clear.
Talks
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Learn how test coverage is a necessary condition for shipping AI, but not a sufficient condition for trusting it.
RiskStorming AI is a strategy tool that helps your team to not only identify high value risks, but also set up a plan on how to deal with them.
Explore the parallels between the lessons Stephen learnt in the RAF and his current work.
After watching this talk, you’ll be able to write smarter and more comprehensive tests in Java using Property-based Testing - and catch bugs you didn’t even know existed at a fraction of the effort
Leading with AI
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A panel discussion exploring how AI is really affecting engineering teams today, from tool adoption and team confidence to testing, leadership, and the risk of over-relying on automation.
James Pearce shares a practical framework for testing AI products by making them more verifiable, measuring risk clearly, and learning safely from production.
Preeti Gupta explains how teams can adopt AI in test automation while keeping human judgement, ownership, and quality at the centre.
Nick Pykett argues that AI is most useful in testing when it works within structured, step-based frameworks that preserve human control.
Chapters
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Simon Devon explores how diverse lived experiences can make testing more inclusive, uncover overlooked issues, and improve software quality.
Blessan Thomas demonstrates how an agentic AI framework can automate the testing lifecycle, using progressive context building, self-healing tests, and human oversight.
Julius Mong explores how agentic AI can transform test automation, reduce maintenance, and help testers evolve into QA orchestrators.
Nadim Rohani explores how AI amplifies organisational complexity and why strong guardrails, systems thinking, and proactive testing are essential to managing risk.
Masterclasses
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Stop treating quality as a final gate and start using these practical, field-tested rituals to bake reliability into your product from the very first idea.
See where AI genuinely helps, where it doesn’t, and how testers can stay firmly in control
Shipping fast shouldn't mean shipping blind.
Identify, test and improve AI guardrails through a structured, scenario-based framework that addresses common implementation failures and attack patterns.
This Week in Quality
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A lively discussion on career growth, engineering leadership, community, bringing joy to testing, and navigating AI.
A post-MoTaCon reflection episode celebrating the festival week’s workshops, talks, volunteering, community connections, Moments, stars, swag... and many unexpected memories made in Brighton.
A warm pre-MoTaCon episode full of conference anticipation, community stories, practical advice for first-time attendees, and excitement around stars, selfies, Moments, meetups, and merch.
A lively return episode catching up on MoTaCon preparations, community updates, AI overwhelm, demo-day disasters, knowledge sharing, and why human connection remains central to quality work.
Into The MoTaverse
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Arthur Hicken and Igor Kirilenko of Parasoft on what actually lets a quality team sleep at night when AI is writing both the code and the tests.
Joe Colantonio and Rosie Sherry on why testing keeps circling the same promises, and why building with AI is still the most fun they have had in years.
Dr Michaela Greiler on why agentic coding is breaking code review, and where testers fit into the oversight that replaces it.
Thunders Code CEO Karim Jouini on why AI eats tasks rather than jobs, and why "quality architect" could become testing's defining role.
Roundtables, AMAs and Discussions (RAD)
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Using AI isn’t the same as doing good work.
How do we know AI is doing a good enough job?
Same objectives, different tools!
Reflect on how burnout affects belonging at work and in the community, and how people can find their way back without starting over.
Leading with Quality
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Evolve from executor to orchestrator by integrating AI and holistic product insights to accelerate quality in high-stakes engineering environments.
Master the art of quality coaching by learning how to facilitate activation sessions that empower developers to own automation and identify wobbly code
Discover how slowing down for alignment, learning, and shared knowledge enables faster and safer AI-driven testing
Explore ways to use imagination to move past bottlenecks and grow new quality leaders
The Testing Planet
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Watch the season finale episode of The Testing Planet News
Join Kat and Callum to discover what's working, examples and traps in QC
This debate explored the role of quality coaching, how it differs from quality engineering and where it is most effective
What happens when a team struggles with the motivation to improve quality?
This Week in Community
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What might change if your community worked in seasons and kept inviting new voices? Reflections on joy, gifting, OKRs, and learning across generations
A new life awaits you in the offline communities: listen, capture, and analyse the signals that show your community is popping off.
Swap the algorithm for your people by exploring Community Maxxing and why writing still matters for community builders who want to leave a positive impact.
What the seagull? Learn how educators, boundaries, and accessible events shape community building, unpacked through bird-themed lessons.
