Updates and recent posts about Ollama..

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@work4bots started using tool Spring , 4 weeks, 1 day ago.

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@work4bots started using tool Helm , 4 weeks, 1 day ago.

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@work4bots started using tool Azure Pipelines , 4 weeks, 1 day ago.

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@work4bots started using tool Azure Kubernetes Service (AKS) , 4 weeks, 1 day ago.

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@work4bots started using tool Azure , 4 weeks, 1 day ago.

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@work4bots added a new tool Bicep , 4 weeks, 1 day ago.

Story FAUN.dev() Team

@eon01 shared a post, 4 weeks, 1 day ago

Founder, FAUN.dev

AWX in Action is out, and there's a course

#red hat... #ansible #Tower #AWX

"AWX in Action: Ansible Orchestration at Scale" is now available in print and ebook. It covers running AWX on Kubernetes for real, not a sandbox demo that falls over the moment you add a second execution node.

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@varbear shared a link, 4 weeks, 1 day ago

FAUN.dev()

Design Patterns Are Dead. Long Live Design Patterns.

Design patterns were created for human comprehension, not machines, serving as a shared vocabulary to communicate complex ideas quickly, manage working memory, and standardize solutions. Even in the era of AI-generated code, design patterns are crucial for containing the limitations of AI models and.. read more

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@varbear shared a link, 4 weeks, 1 day ago

FAUN.dev()

AI costs how much? GitHub Copilot users react to new usage-based pricing system.

GitHub began usage-based Copilot billing, and some developers say they used up the AI credits GitHub grants for a month in under 24 hours. Developers burn credits through "premium requests". GitHub counts prompts to advanced models, agent tasks, edits, and some Copilot features against the allowance.. read more

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@varbear shared a link, 4 weeks, 1 day ago

FAUN.dev()

GitHub breach: The development ecosystem is in the hot seat

GitHub is reeling from an infrastructure breach by TeamPCP, highlighting the vulnerability of developer environments. Privileged access was achieved not through traditional perimeter exploitation, but by targeting trusted developer tools like IDE extensions. This incident serves as a stark reminder .. read more

Ollama is an open source tool for running large language models locally on your own machine. It packages model weights, configuration, and a runtime into a single binary with a simple CLI, letting developers pull and run models like Llama, Mistral, or Qwen with one command (`ollama run <model>`). It exposes an HTTP API compatible with parts of the OpenAI spec, which makes it easy to swap into existing tooling. Ollama is one of the most popular entry points for local LLM inference, particularly on macOS and Linux developer machines.