In this episode, we continue our exploration of vibe coding, this time we build a prompt for installing Digital Rebar. We test and refine the prompt across multiple runs, focusing on readiness checks, firewall ports, SSH keys, license file handling, and keeping the model within the provided instructions.We also look at where the install keeps failing, including NAT gateway setup, DNS configuration, key selection, and bootstrap completion, and use those failures to make the instructions more explicit. Finally, we discuss using prompts as install instructions for an agent system and how the same approach could apply to other complex setups like as OpenShift.
Tag Archives: Artificial Intelligence
AI UX Building
In this episode of Cloud2030, we explore AI’s transformative impact on user experience (UX) and the relevance of stochastic and deterministic systems in designing effective AI interfaces. We give our predictions about the decline of traditional form-based UX in favor of conversational interfaces that allow users to interact with AI more naturally.
We go into how AI can enhance user experiences by dynamically gathering information, while also addressing security concerns related to sensitive data. It’s a great conversation, hope you enjoy!
Transcript: otter.ai/u/_KLPdnZ6UvfApikAAt…?utm_source=copy_url
Vibe Coding for Ops [TechOps]
In this episode, we do some live vibe coding– using AI to write code. We share tips and tricks on having the best vibe coding experience and avoiding some common pitfalls. You’ll get to hear what we do, how we discover what the steps are, just how easy it is to interact with the system, to set up a basic environment. We also start to explore the limitations of vibe coding. We encourage you to listen along and try on your own!
Transcript: otter.ai/u/CqKdtWZWYb3AdPtcb-…?utm_source=copy_url
Infrastructure Summit Debrief
Rich Miller and I debrief our experiences at the AI Infrastructure and Edge Summit in Santa Clara. This show was interesting in the way it combined a lot of different pieces together related to AI. We share our thoughts and critiques on the event’s sales-oriented focus, which overshadowed meaningful discussions on AI applications and data governance.
Transcript: otter.ai/u/5zn42OkdumP-HXIdi5…?utm_source=copy_url
Model Context Protocol Exploration
Today we continue our exploration of vibe coding by digging into the Model Context Protocol, or MCP. We look at how MCPs connect chatbots to backend systems, why natural language matters for complex queries, and what it takes to build smarter, more adaptable interfaces. The discussion covers practical strategies for refining and automating these systems using API docs, making this a solid deep dive into the future of human-to-machine interaction.
Transcript: otter.ai/u/5zn42OkdumP-HXIdi5…?utm_source=copy_url
TechOps Scaling Challenges
In this episode, we talk about scale and the hard realities of system failure in large tech operations. We explore why rare failures become common at scale, and what it takes to build systems that can handle that pressure. From predictive diagnostics to component redundancy, we share practical insights on keeping high-performance and AI infrastructure resilient. This is not theory, it is grounded in real-world lessons from managing complex environments and learning how to plan, isolate, and adapt when things go wrong.
Transcript: otter.ai/u/X8JYiADfPPLEfQ-gge…?utm_source=copy_url
AI Export Controls Work?
We discuss whether or not AI export controls work, but we take a really interesting twist because what we talk about is manufacturing. What we talk about is innovation, and it’s not whether or not you can control AI chips, but what does it actually take to build innovative product? That’s where we really have challenges on export and controls. There’s military manufacturing and goods, and that’s part of what this AI embargo is about. We really talk about how challenging it is to actually build truly innovative manufacturing and what the barriers are.
Transcript: otter.ai/u/k6Thp-TOfwKc_RjXHC…?utm_source=copy_url
AI Slop Ate My College Degree!
Today we riff on vibe coding, and we talk about the human and economic impacts. Can this agentic coding paradigm the use of AI and how will it impact people just starting their careers or building real applications? What is the trajectory for AI, generated systems and code and what is the risk of AI slop?
Transcript: otter.ai/u/5G4AnR858BJnYVZiPV…?utm_source=copy_url
Is 2025 even harder than we expected?
We review 2025 predictions today and dig into why I think this year is going to be both boring and terrifying for a lot of enterprise IT leaders. That, of course, spans Amazon, Reinvent storage, VMware, AI, and Agentic AI – we run the gamut on what is coming and why this is actually going to be a very challenging year.
Transcript: otter.ai/u/H6UvLC-r2zmBO9A5jf…?utm_source=copy_url
Reference: zenoh.io by ZettaScale
The Many Bits of Quantum State
In this episode, we dive into all things quantum computing, starting from the idea that Microsoft managed to put a new quantum silicon chip together. We go all over quantum from compute to entanglement and everything in between.
Transcript: otter.ai/u/Tt282iKZEkt5nL3C3z…?utm_source=copy_url
References:
naumanahmad86.medium.com/is-the-mac-m…0b6c6a2d9a18
news.microsoft.com/source/features…ntum-computing/
arxiv.org/abs/2502.19118