<p>The Cloudcast (@cloudcastpod) is the industry's #1 Cloud Computing podcast, and the place where Cloud meets AI. Co-hosts Aaron Delp (@aarondelp) & Brian Gracely (@bgracely) speak with technology and business leaders that are shaping the future of business. Topics will include Cloud Computing | AI | AGI | ChatGPT | Open Source | AWS | Azure | GCP | Platform Engineering | DevOps | Big Data | ML | Security | Kubernetes | AppDev | SaaS | PaaS . </p>
SUMMARY: With the explosion of AI-generated code and applications, the modern SRE requires an AI-native approach to managing complex systems.
GUEST: Anish Agarwal - CEO/Cofounder of Traversal
SHOW: 1016
SHOW TRANSCRIPT: The Reasoning Show #1016 Transcript
SHOW VIDEO: https://youtu.be/hF3MCRDhMno
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Topic 1 - Welcome to the show. Tell us a little bit about your background, and what you focus on these days at Traversal.
Topic 2 - AI is dramatically accelerating code generation, but not improving production outcomes. What’s fundamentally breaking in the traditional SRE model—and where do you see the biggest friction between speed and reliability?
Topic 3 - What are the most common failure patterns or mistakes you’re seeing in production from AI-generated code—and what’s driving them?
Topic 4 - AI can generate functional code, but it often lacks context about how systems behave in production. How is this changing what ‘good observability’ needs to look like?
Topic 5 - How do you see SRE evolving in an AI-first world? Does it become more automated, more policy-driven, or even partially autonomous?
Topic 6 - For organizations that want to embrace AI-assisted development but avoid production chaos, what are the most important guardrails they should put in place?
Topic 7 - If we fast-forward 2–3 years, what does a ‘modern’ production stack look like in a world where most code is AI-generated? What capabilities become absolutely essential? In one sentence—what’s the #1 thing a CTO should do right now?
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SUMMARY: Today’s episode is all about a transformation happening in customer service—one that’s moving us from static systems and scripted workflows into something far more dynamic: AI systems that can actually learn and improve over time.
GUEST: Shashi Upadhyay (President of Product, Engineering, and AI at Zendesk)
SHOW: 1015
SHOW TRANSCRIPT: The Reasoning Show #1015 Transcript
SHOW VIDEO: https://youtu.be/IQaxE-DjIpo
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Topic 1 - Welcome to the show. Tell us a bit about your background and your focus today.
Topic 2 - You describe this moment as a shift from systems of record to intelligent systems of action. What’s fundamentally broken in today’s customer service model that’s forcing this transition now? What changed in the last 2–3 years to make this possible?
Topic 3 - There’s been a lot of AI in customer service that overpromised and underdelivered. What are the biggest gaps between what customers actually need—like resolution—and what legacy automation has been delivering?
Topic 4 - The concept of a “self-improving” system is really powerful. What’s actually new here—what enables AI to improve with every interaction without constant human tuning?
Topic 5 - You’ve moved from assistive copilots to what you call “agentic AI” that can resolve issues end-to-end. Where are we today on that journey—and what still requires human involvement?
Topic 6 - Voice has historically been one of the hardest channels to automate. What changes with this new generation of AI that makes even complex, multi-step voice interactions solvable?
Topic 7 - If we fast-forward 2–3 years, what does a “best-in-class” customer service experience look like in an AI-first world?
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SUMMARY: Brian (@bgracely) and Brandon Whichard (@bwhichard, Software Defined Talk and Failover Media) discuss the biggest AI news stories from the month of March, 2026.
SHOW: 1014
SHOW TRANSCRIPT: The Reasoning Show #1014 Transcript
SHOW VIDEO: https://youtu.be/XwyAC-hxOQY
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SUMMARY: With @bwhichard, we dig into how daily work-life changes when you make @AnthropicAI @claudeai the center of all workflow activities.
SHOW: 1013
SHOW TRANSCRIPT: The Reasoning Show #1013 Transcript
SHOW VIDEO: https://youtu.be/zEmEH0t67js
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Topic 1 - How long have you been living the Claude-life, and when did it dawn on you to make this central to your day-to-day activities?
Topic 2 - What were the biggest hurdles you had to overcome before you trusted the system and started letting it have ownership over tasks and workflows?
Topic 3 - What are some of your best practices in terms of machine setup, how or where you store data, how you decide what to give it access to? Walk me through your thoughts around things like keeping things simple, where to be complex, how you think about security, etc.
Topic 4 - How are you learning to give it more responsibilities, or just figure out new ways to be productive with it?
Topic 5 - What have been some of the biggest barriers to successful adoption, or just areas where you’re still struggling to get it to do the things you want? Or are you still in the learning curve stage and things just keep growing on one another?
Topic 6 - If you took the knowledge and skills you have now in Claude-life into your day-job, how do you see yourself working, as well as working with the rest of your team/teams? Would it bother you if you didn’t think they were using AI tools as much?
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SUMMARY: We dig into the NVIDIA GTC keynote and highlight three things - accelerated computing for everything, the complexity of the new inference stack, and NVIDIA’s “open” software stack including NemoClaw.
SHOW: 1012
SHOW TRANSCRIPT: The Reasoning Show #1012 Transcript
SHOW VIDEO: https://youtu.be/aXOr91q76yM
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Topic 1 - Jensen’s trying to paint the bigger picture of accelerated computing everywhere (robotics, autonomous driving, gen-ai, physical ai - but also just everyday enterprise apps). Everything is about keeping the stock price up, and margins high. The stock price provides the warchest to fight off all foes.
Topic 2 - The inference architecture is a complex mix of GPUs, CPUs, ASICs/LPUs, high-speed networking and seems very different from the training architecture. How big is the burden on data center providers? What are the inference alternatives emerging?
Topic 3 - Jensen talked a lot about OpenClaw and eventually about NVIDIA’s NemoClaw. How does his interest in Agentic AI tie into his interest in building NVIDIA’s own frontier model
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SUMMARY: Morgan Foster talks about the Kagenti project, which enables an AI Agent agnostic framework for security, authentication, identity and zero-trust.
SHOW: 1011
SHOW TRANSCRIPT: The Reasoning Show #1011 Transcript
SHOW VIDEO: https://youtu.be/djFZruLEDiw
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Topic 1 - Welcome to the show. Tell us a little bit about your background and areas you focus on today.
Topic 2 - Tell us a bit about the Kagenti project and the types of challenges it’s trying to solve for Agentic AI deployments.
Topic 3 - How much commonality exists between different Agentic frameworks that a common, agnostic agentic orchestration approach can work? And how much difference still exists and would drive companies to silo’d deployments?
Topic 4 - How far should an Agentic Orchestration framework go, and what types of things do you expect will still be Agentic framework dependent?
Topic 5 - As Kagenti evolves, what are some of the adjacent things that people should be keeping an eye on that might be a dependency, or could shift the direction of the project?
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SUMMARY: Brian talks about the rapidly expanding gap between people and companies that augment their work with AI and those who are making AI the center of their work world.
SHOW: 1010
SHOW TRANSCRIPT: The Reasoning Show #1010 Transcript
SHOW VIDEO: https://youtu.be/tFyLlCnkbsM
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WHY THE NEED FOR A CODE RED?
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SUMMARY: Sally O’Malley (Principle Software Engineer @RedHat, Maintainter @OpenClaw) talks about her early experiences of immersing herself into OpenClaw and evolution of the OpenClaw community.
SHOW: 1009
SHOW TRANSCRIPT: The Reasoning Show #1009 Transcript
SHOW VIDEO: https://youtu.be/7xARBtgiMQg
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Topic 1 - Welcome to the show. Tell us a little bit about your background in software engineering.
Topic 2 - You recently jumped into the deep end of the pool with OpenClaw. Tell us about the week of immersion with this new technology.
Topic 2a - For anyone that’s new to OpenClaw, can you give us the basics of what OpenClaw does?
Topic 3 - You mentioned that this is a very different (or completely different) paradigm of how software is created. Can you walk us through the differences, your observations, how you had to really rethink things that you did before and after?
Topic 4 - In your day job, you’re focused on software that’s used by large enterprises that have to be concerned with security and stability, as much as they do innovation. How do you see the existing OpenClaw fitting into that world?
Topic 5 - You (very) recently were accepted as a committer to the OpenClaw project. I know it’s only been a few days, but what is opening your eyes about how this community operates, especially in comparison to other open projects you’ve worked on?
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Erwan Menard - SVP Product Management @CrusoeAI talks about the evolution of NeoClouds, the challenges of matching the speed of data centers, GPUs and software, and how everything is evolving to megawatts and tokens.
SHOW: 1008
SHOW TRANSCRIPT: The Reasoning Show #1008 Transcript
SHOW VIDEO: https://youtu.be/eA8vpPmSW0Y
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Topic 1 - Welcome to the show. Tell us a bit about your background, and what you focus on now at Crusoe.
Topic 2 - There has obviously been a lot of coverage of AI data center buildouts all over the world for the last few years. Tell us about Crusoe, and your approach to providing “neocloud” services.
Topic 3 - What are the biggest challenges facing Crusoe today and in the immediate future - is it technology, energy, financing for expansions, etc.?
Topic 4 - Crusoe started as a bitcoin-focused company and has evolved to more of a GenAI-focus. What types of architectural changes did you have to make for this new type of workload? And how do those impact the quality of the services your customers expect from Crusoe?
Topic 5 - Is your focus more on environments to enable model training and customization, or more focus on inference for customer-facing applications?
Topic 6 - A lot has changed in AI in the last couple years. What has changed the most in the last couple years, and what are you expecting to change the most over the next couple years?
Topic 7 - Sovereign AI and Private AI have become much bigger topics over the last 12-18 months, and we’d expect that to grow. What unique things is Crusoe doing to adapt to these changing requirements from customers?
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OVERVIEW: Welcome to The Reasoning Show! We dig into one of the foundational building blocks of modern Generative AI, the AI Agent. So what is an AI Agent, and what do we need to think about for the next couple years?
SHOW: 1007
SHOW TRANSCRIPT: The Reasoning Show #1007 Transcript
SHOW VIDEO: https://youtu.be/4tdj0S0AyhM
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Topic 1 - We’re 3+ years into the Generative AI era. Why do you think AI Agents, or Agentic AI, is now getting so much attention?
Topic 2 - If someone asked you to explain what an AI Agent is, how would you do that?
Topic 3 - What are some of the core elements of AI Agents that you’re seeing impact how people think about and use agents?
Topic 4 - AI Agents are going to spark the great “how much should I pay for this?” discussion. Have you given this any thought yet?
Topic 5 - How do you expect to use AI agents in your day-to-day work, and how do you expect this to impact Enterprise businesses?
ESSENTIAL READING
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Frameworks & Tools
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This episode marks the transition from The Cloudcast to The Reasoning Show, focusing more on AI and cloud topics. Brian Gracely (@bgracely) and Brandon Whichard (@bwhichard, @SoftwareDefTalk) discuss recent trends in AI, the evolution of tech teams, and the shifting landscape of enterprise AI tools.
SHOW: 1006
SHOW TRANSCRIPT: The Cloudcast #1006 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"
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