Comments
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Thanks, Martin. You’ve already made significant progress and provided some insightful analysis on the transformation. I particularly noted the direct connection between developers and clients. The risk of overtrust in AI, which you want to avoid, is clearly a key topic in the proper use of AI.
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Hi everyone! I'm Bruno, co-founder of Smartesting and Head of AI Lab, based in France. I work daily at the intersection of AI and Agile, and I'm particularly interested in how AI is reshaping two critical activities: backlog management (writing clearer, more testable user stories) and QA & Testing (closing the loop between…
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#1 made the biggest impression on me. Accelerating the convergence of our creative process and issue prioritization is a real game-changer for our internal workflow.
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What a wonderful Thursday reflection! @Kristján Geir Mathiesen My first "big win" was the day I stopped comparing my progress to others and started celebrating my own small steps. Reading these stories from everyone here is such a great reminder of that. Have a nice Thursday.
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That's excellent. Thanks, @Jensen Fleming In our experience, the combination of “golden set,” LLM as a judge, and expert validation is the best in practice. It's the one we use to benchmark our agents for testing. We'll try it in Rovo. Is test dataset versioning implemented in this validation feature?
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Thank you @Liam Do - DevSamurai very helpful. Have a nice day.
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Has to be a mug for me! Always on my desk with a cup of tea, so it gets used every single day. Practical and comforting at the same time.
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Really excited to see this topic getting attention! At Smartesting's AI Lab, we've been exploring something closely related: using the knowledge graph as a backbone for RAG, where we dynamically generate GraphQL queries based on the user's intent to retrieve the right context (requirements, test data, project artifacts)…
