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I Will Never Use AI to Code (or write)

This article discusses the negative impacts of relying on AI for coding and skill development. The cycle of using AI leading to skill decay, skill collapse, and the end of capability is highlighted as a major concern. The economic implications of AI usage in various industries and the lack of profit.. read more  

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@kala shared a link, 2 days, 23 hours ago
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How AI Agents Automate CVE Vulnerability Research

A multi-agent system runs onGoogle's Agent Development Kit (ADK). It orchestrates specialized AI models for CVE research and report synthesis. It runso4-mini-deep-researchwith web search. On timeouts it falls back toGPT‑5. It extracts structured technical requirements. It maps those requirements to .. read more  

How AI Agents Automate CVE Vulnerability Research
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@kala shared a link, 2 days, 23 hours ago
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Why system architects now default to Arm in AI data centers

Architects rebase infrastructure torack-levelsystems. They anchor designs onArm NeoverseCPUs. Goal: balance energy, thermals, memory bandwidth, and sustained throughput. Benchmarks showGraviton4(Neoverse) outperforms comparableAMDandIntelEC2instances on price/performance for generative AI, DB, ML, a.. read more  

Why system architects now default to Arm in AI data centers
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@kala shared a link, 2 days, 23 hours ago
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Claude now creates interactive charts, diagrams and visualizations

Claude (beta) renders inline, temporary charts, diagrams, and visualizations in chat viaClaude Visual Composer. Visuals stay editable on request. Enabled by default. Claude can opt to generate visuals or follow direct prompts. Integrates withFigma,Canva, andSlack... read more  

Claude now creates interactive charts, diagrams and visualizations
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@environmentalbit3940 started using tool werf , 3 days, 9 hours ago.
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@environmentalbit3940 started using tool Kubernetes , 3 days, 9 hours ago.
k3d is an open-source utility designed to simplify running Kubernetes locally by wrapping K3s (Rancher’s lightweight Kubernetes distribution) inside Docker containers. Instead of creating virtual machines, k3d uses Docker as the execution layer, allowing developers to spin up multi-node Kubernetes clusters in seconds using minimal system resources.

k3d is especially popular for local development, CI pipelines, demos, and testing Kubernetes-native applications. It supports advanced setups such as multi-node clusters, load balancers, custom container registries, port mappings, and volume mounts, while remaining easy to tear down and recreate.

Because it uses K3s, k3d inherits a simplified control plane, bundled components, and reduced memory footprint compared to full Kubernetes distributions. This makes it ideal for developers who want a realistic Kubernetes environment without the overhead of tools like Minikube or full VM-based clusters.

k3d integrates cleanly with common Kubernetes workflows and tools such as kubectl, Helm, Skaffold, and Argo CD. It is frequently used to validate manifests, test Helm charts, and simulate production-like environments locally before deploying to cloud or on-prem clusters.