SOBRE ESTE EPISÓDIO
Tyler Lynch, Outbound CTO at IBM, joins the show to discuss shifting from “tokenmaxxing” to “valuemaxxing” by optimizing AI agent workflows for efficiency. They explore using Obsidian for persistent agent memory to combat context bloat, the critical importance of secure sandboxing practices, and the strategic use of parallel verification to ensure your agents are performing... Read more »
Inglês
Estados Unidos da América
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OUTROS EPISÓDIOS NESTE PODCAST
As AI matures, it becomes increasingly important to know how it’s performing and what it actually costs. Ned and Kyler are joined by Anuj Tyagi, Senior Site Reliability Engineer for RingCentral, to discuss the critical shift toward AI observability. AI observability is not just about costs; Anuj br…
Kyler and Ned are joined by former AWS Community Program Manager Jason Dunn to discuss what it takes to build and maintain a thriving tech community. Jason shares his “benevolent dictatorship” philosophy on community management, emphasizing the importance of authentic human connections. They also e…
Hosts Ned and Kyler compare notes on everything they’ve been doing with AI, including the successes they’ve enjoyed and headaches they’ve suffered building and implementing AI agents. They talk about how AI has sped up their workflows, how managing multiple AI agents is akin to raising toddle…
Ned and Kyler welcome Andrew Brown, co-founder of ExamPro, to discuss how AI is reshaping the IT education and training landscape. They discuss why foundational technical knowledge remains vital, how AI-generated answers can make mistakes at scale, and the importance of learning how to troubleshoot…
Platform engineering forms the foundation for developers to build on, and you shouldn’t be surprised that folks from VMware have been thinking about platforms for a long time. In today’s episode, sponsored by Broadcom, Ned and Kyler discuss the current state and future of platform engineering with …
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EDITAR
Obrigado por ajudar a manter a base de dados dos podcasts atualizada.
