Sessions

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.

Learn ways to introduce controlled chaos and help teams think more clearly about how systems really behave.

Join this guided tour of joy through the things we can see, the things we interact with, and the things that connect with our core identities.

Explore the psychological shift from risk-based testing to fear-based testing.

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

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.

Reduce repeat-prompting overhead by building reusable skills for recurring workflows, cutting task time from a full day down.

A live demo and case study showing how AI can help build real-world vision systems, while human experimentation and testing still do the hardest work.

Madhuri Mittal shares how a career pause and motherhood reshaped her into a more resilient, empathetic, and adaptable tester.

A panel discussion exploring how AI gains in silos can break feedback loops, shift bottlenecks downstream, and make quality harder to manage at scale.

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.

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.

A reflective episode on joining new teams, respecting existing quality processes, asking better questions, naming the work we already do, and using community to turn uncertainty into learning.

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.

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.

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

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?

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.

Discover why community as a service deserves saying out loud, covering paid membership, monetisation, and shifting community trends.