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 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
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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
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How quality is created, maintained and lost in complex software systems
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is Open to Work
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New OpenAI tool renews fears that “AI slop” will overwhelm scientific research
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Agent Skills – how to create and test them
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The Dorodango Technique: Agents in Agents Driving Scripts
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When you outsource testing to the AI, you lose the ability to understand your system
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RiskStorming: Artificial Intelligence
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RiskStorming; Artificial Intelligence 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
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Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and transparency in AI-driven systems
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The future of testing: Autonomous agents, ethical AI, and human oversight
awarded Matthew Whitaker for:
The future of testing: Autonomous agents, ethical AI, and human oversight
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Agentic QE: From AI Assistant to AI Workforce
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A paradigm shift from using AI as a coding assistant to directing AI agents as an intelligent workforce
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We can test in production: An introduction to shifting testing right.
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An exploration of shift right and how to practice it within testing
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Thanks for taking part in our unofficial 'thanks' challenge.
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Identify blind spots created by AI-driven testing and prevent false confidence in testing outcomes
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Back to the basics: Rethinking how we use AI in testing
awarded Konstantinos Konstantakopoulos for:
Back to the basics: Rethinking how we use AI in testing
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