It's true we no longer need to keep our laptops open, but for all the recent progress of OpenAI and Anthropic, cloud-based agent harnesses aren't fully solved yet. Maybe we need the creators of Kubernetes to tackle the problem? Stacklok is built by two of them, @cmcluck & @jbeda, and they aim to bring agent harnesses fully to the cloud. We talk to McLuckie and Beda about their "cloud-native harness":

AI Agents Agreeing With You Is Dangerous What happens when an AI agent stops challenging your assumptions and starts reinforcing them? One of the less obvious risks of AI adoption is overconfidence. When AI systems consistently validate what users want to hear, they can reinforce flawed decisions instead of helping people identify problems. Craig McLuckie's perspective on engineering discipline highlights why organizations cannot confuse agreeable AI behavior with reliable AI behavior. As agents become more deeply integrated into business processes, trust must come from verification, context, and enforceable safeguards. Topics covered: • AI sycophancy and overconfidence • The danger of unchallenged AI recommendations • Context optimization and reliable AI outputs • Building safeguards into enterprise AI systems Guest: Craig McLuckie — CEO & Founder, Stacklok Host: Brandon Krieger — CEO & vCISO Advisor 📺 Watch the full episode: 🎧 Listen: #ArtificialIntelligence#, #AIAgents#, #AITrust#, #AISecurity#, #Stacklok#, #CraigMcLuckie#