Activity
Rosie Sherry
CEO & Founder at Ministry of Testing
She/Her
I've been working in the software testing and quality engineering space since the year 2000 whilst also combining it with my love for education and community. It turns out quality, community and education go nicely hand in hand.
π MoT-STEC qualified
registered for:
Share your weekβs highlights, challenges, and lessons in quality
earned:
The career you started isn't the career you'll finish - Into the MoTaverse - Episode 15
thanked contributors on:
You cannot claim a system is or uses "Responsible AI" just because there is a human button-pusher. If the system is designed to move faster than that human can think, how do you prevent your busine...
earned:
Human in the Loop (HITL) wanted...
awarded Aj Wilson for:
Human in the Loop (HITL) wanted...
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Simplicity is at the core of The Ahh Test
awarded Dan Moore for:
The career you started isn't the career you'll finish - Into the MoTaverse - Episode 15
earned:
The career you started isn't the career you'll finish - Into the MoTaverse - Episode 15
earned:
My AI tool stack
earned:
The career you started isn't the career you'll finish - Into the MoTaverse - Episode 15
earned:
Chrome split view "productivity hack"
thanked contributors on:
The reality of QA today is complicated. AI accelerates code generation and simultaneously dismantles the QA strategies most teams rely on. The risk isn't that AI replaces the engineer. It's that AI...
earned:
QA was built for human speed. AI broke it.
awarded Lucio Daza for:
QA was built for human speed. AI broke it.
earned:
The career you started isn't the career you'll finish - Into the MoTaverse - Episode 15
contributed:
A squiggly conversation about tech careers, authentication security, agentic AI risks, and the excitement and woes of a fast changing world.
awarded Damian Pereira for:
This time on doing your first thing in the MoTaverse! :)
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Evals in practice for an AI coding agent
awarded Damian Pereira for:
Nice one for doing the Masterclass!
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Member joined MoT London chapter
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How to test a stage 99 times over - Ep 99
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What is TYiQ? Wrong answers only β Ep 117 (End-of-year special)
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Goals that inspire a quality community - Ep 119
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The MoTaverse morphs again - Quality changes that matter - Ep 126
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MoTaCon 24/7/404 - Ep 131
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You're absolutely right! I have a love hate relationship with AI - Ep 132
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The transition from specialist to generalist
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The transition from specialist to generalist
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In tech, we work in small iterations, why not approach learning the same?
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In tech, we work in small iterations, why not approach learning the same?
thanked contributors on:
Demi Van Malcot asked "What is for you the most difficult thing about doing quality assistance?" in AMA about transitioning to Quality Assistance model.At first it was hard to find my feet into in ...
earned:
AMA answer: What is for you the most difficult thing about doing quality assistance?
awarded Nataliia Burmei for:
AMA answer: What is for you the most difficult thing about doing quality assistance?
awarded Demi Van Malcot for:
AMA answer: What is for you the most difficult thing about doing quality assistance?
earned:
In tech, we work in small iterations, why not approach learning the same?
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Member joined MoT London chapter
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The loss and rebuilding of ambient learning
contributed:
In a conversation recently with Dan Moore, we spoke about many things on a soon to be released episode of Into the MoTaverse, but one I'm reflecting on is the idea of ambient learning.Ambient learn...
earned:
Prompt engineering isn't the bottleneck anymore. Observability is.
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In tech, we work in small iterations, why not approach learning the same?
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Member joined MoT Brighton chapter
awarded Dan Moore for:
Welcome, it's great to have you here!
commented on:
"I came here for the AI, stayed for the hats! Looking good!"
thanked contributors on:
How do we set up AI agents that are secure, reliable and trustworthy? Start with some principles.
earned:
Three principles for AI Agent Configuration
awarded Cameron Browne for:
Three principles for AI Agent Configuration
awarded Simon Tomes for:
Three principles for AI Agent Configuration
earned:
In tech, we work in small iterations, why not approach learning the same?
earned:
In tech, we work in small iterations, why not approach learning the same?
earned:
Chrome split view "productivity hack"
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