ОТНОСТНО ТОЗИ ЕПИЗОД
![When Vibe Fails [TechOps]](https://cdn-images-3.listennotes.com/podcasts/cloud2030/when-vibe-fails-techops-IeYi3DL6NFm-NIib4MyPpAc.1400x1400.jpg "When Vibe Fails [TechOps]")
This episode we discuss a failure in vibe coding with Claude and Digital Rebar. We try to build a CloudMD-driven setup for running Claude in a container and analyzing inputs, and we run into some problems when the generated design becomes too complex and leads to wrong assumptions. We discuss the broader lesson that too much context can reduce reliability, and that an incremental design approach may work better before extending the idea into FlexiFlow, templates, and other AI-assisted infrastructure tasks.
Transcript: https://otter.ai/u/aW8p_bf235g4Eg8nr-YkoiuyUsQ?utm_source=copy_url
Transcript: https://otter.ai/u/aW8p_bf235g4Eg8nr-YkoiuyUsQ?utm_source=copy_url
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ТЪРСЕНЕ на МИНАЛИ ЕПИЗОДИ
Търсене в минали епизоди на cloud2030.
ДРУГИ ЕПИЗОДИ В ТОЗИ ПОДКАСТ
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In this episode we work through a Vibe Coding Operations session using Claude AI inside Digital Rebar as an analysis tool. We describe a three-phase flow of plan, execute, and analyze for inspecting a machine, gathering command output, and reviewing the results. We also talk about troubleshooting a…
We discuss the acquisition of Mirantis by the neocloud company IREN, and use it to examine the current market for infrastructure and AI deployment. We look at Mirantis’ consulting business, Kubernetes distribution, and its earlier acquisition of parts of Docker, including the registry and enterpris…
In this episode we discuss whether AI and LLMs are changing the role of open source, including the pressure on maintainer review queues and the growing appeal of private forks and internal maintenance. We also talk about the security tradeoffs of those forks, especially around visibility, dependenc…
This week we have an exciting conversation about harnesses, neoclouds, open weights models, and the current AI infrastructure landscape. We discuss bare metal automation, agent-friendly APIs, CPU compute, GPU economics, and why some providers are moving up the stack toward models and APIs.
We also …
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