Activity
Giorgos Siamantas
Senior Quality Engineer
He/Him
10+ years in quality engineering for complex systems. Test strategy, failure modes, testability.
Exploratory testing for surprises, automation for predictable risks.
Systems thinking in uncertainty.
awarded Damian Pereira for:
Fascinating to see how AI evals can be used for an API test automation agent. I got some new insights from the Masterclass 😊
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Evals in practice for an AI coding agent
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Integrate monitoring, observability, and alerting into the core quality engineering process to ensure systems are as diagnosable as they are functional
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The forgotten part of quality: paying attention to production
awarded Stuart Thomas for:
The forgotten part of quality: paying attention to production
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How to think like a strategic genius (5d thinking)
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This badge is awarded to members who create their first collection, organising learning content for themselves or others.
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A tester’s guide to AI guardrails
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Identify, test and improve AI guardrails through a structured, scenario-based framework that addresses common implementation failures and attack patterns.
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Claude Code Best Practices - a collection to bookmark
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Harness engineering: leveraging Codex in an agent-first world
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An AI state of the union: We’ve passed the inflection point & dark factories are coming
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This badge is awarded to members who join a Ministry of Testing Chapter.
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Joined AI Chapter chapter
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The AI Chapter of the MoTaverse is a space to connect, explore and learn together on the topic of AI.
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Question by Rosie Sherry: How can we practice testability within context engineering? Response:Fantastic question. Not many people talk about it (unfortunately).Good news: We at MoT are now ...
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AMA Answer: How can we practice testability within context engineering?
awarded Rahul Parwal for:
AMA Answer: How can we practice testability within context engineering?
awarded Rosie Sherry for:
AMA Answer: How can we practice testability within context engineering?
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This badge is awarded to members who read their first Insights article on the MoTaverse.
awarded James Pearce for:
The problem with non-deterministic inputs and outputs
awarded Simon Tomes for:
The problem with non-deterministic inputs and outputs
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The problem with non-deterministic inputs and outputs
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How do AI guardrails deal with millions of possibilities?
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The problem with non-deterministic inputs and outputs
awarded James Pearce for:
The problem with non-deterministic inputs and outputs
awarded Simon Tomes for:
The problem with non-deterministic inputs and outputs
awarded Dragan Spiridonov for:
Great, actionable information about agentic QE
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Agentic QE: From AI Assistant to AI Workforce
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Shift from treating AI as a "single source of truth" to using it as a "clarity booster" for human-led ideas.
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Stop delegating your thinking: Using 5 whys to check AI documentation
awarded Cristina Lanca Carrageis for:
Stop delegating your thinking: Using 5 whys to check AI documentation
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We have been collecting data from Moltbook
awarded Beren Van Daele for:
For the RiskStorming: AI - very good to see how this can work with the AI element in
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RiskStorming: Artificial Intelligence
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Evals in practice for an AI coding agent
registered for:
Master this practical framework for building a layered evaluation strategy to systematically verify, secure, and improve the output quality of AI coding agents using both deterministic and model-grade
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Nano Banana 2: Combining Pro capabilities with lightning-fast speed
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We can test in production: An introduction to shifting testing right.
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Study real-world failures to understand how quality is created, lost and strengthened in complex systems.
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How quality is created, maintained and lost in complex software systems
awarded Jitesh Gosai for:
How quality is created, maintained and lost in complex software systems
awarded Jitesh Gosai for:
How quality is created, maintained and lost in complex software systems
earned:
How quality is created, maintained and lost in complex software systems
is Open to Review Conference Proposals
is Open to Write
is Open to Mentor
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is Open to Work
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