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Smug until weirdly silent: who told us to say “I am alive”?32m ago Disney's new CTO tells staff he 'won't pretend it will be easy' to win in the changing media landscape45m ago OpenAI Adds New Irish Roles in Boost to Firm’s EU Headquarters46m ago Manifold Steering from a Natural State is Effective and Generalizable, but Relies on Model Accuracy48m ago Microsoft Research Introduces StudentSim for AI Tutor Training48m ago Why Big Tech Is Borrowing Billions to Fund AI Spending52m ago Meet the Anthropic Engineer Keeping Its AI Agent Trustworthy54m ago Meta Unveils New Series of Advanced A.I. Models2h ago Russia was not ready for the data center war it started with Ukraine1h ago Accessing OpenAI GPT models on Amazon Bedrock with global cross-Region inference in Thailand, Malaysia, Singapore, Indonesia, and Taiwan1h ago Meta says its new Muse model has reached the AI frontier1h ago Do you have any ideas?1h ago Claude sent a false homicide tip to police – and it’s part of a troubling AI pattern1h ago Labs’ current alignment plans seem terrible1h ago

Dev5 min reading time

Context Engineering Decides Whether Your AI Testing Agents Are Useful

ForbesPublished 6 days ago

Read the full article

TestMu AI co-founder Mayank Bhola highlights 'context engineering' as crucial for AI testing agents to produce relevant, reliable tests tailored to specific applications, not generic outputs. Studies show grounding AI in project-specific context triples test success rates compared to generic prompts.

#lambdatest #mayank-bhola #quality-engineering #selenium #software-testing #testmu-ai

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