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| 🔗 Stories, Tutorials & Articles |
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| How Google, Amazon, and CrowdStrike broke millions of systems |
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| Did you know that what were once called "scaling laws" for AI - the idea that bigger models + more data automatically mean better performance - are faltering in practice? Recent research shows larger language models now give smaller gains on real-world tasks, even though the beam size of training compute keeps climbing. |
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| Your URL Is Your State |
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Modern frontend apps love to complicate state. But they keep forgetting the URL - shareable, dependency-free, and built for the job.
This piece breaks down how a well-structured URL can capture UI state, track history, and make bookmarking effortless. No localStorage. No cookies. No bloated global store. |
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| Creating VMs in separate ZFS filesystems |
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A dev split KVM/QEMU VMs out of a shared ZFS directory and into their own ZFS filesystems. Why? Snapshot rollbacks. Finer-grained storage control. Clean.
The new setup rides a fresh ZFS pool tuned with a 64KB recordsize for QCOW2 images. That lines up virtual disk performance with the real IO under the hood - no more mismatch bottlenecks. |
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| Notes on switching to Helix from vim |
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Helix keeps things lean - and that's the point. It ships with LSP support, multi-cursor editing, and smart search baked in. No dotfile gymnastics required. That alone has peeled some loyalists off Vim and Neovim.
Still rough around the edges. No persistent undo. No auto-reload. Markdown support's a bit thin. And yeah, occasional crash landings. But for devs burned out on maintaining three dozen plugins just to write code? Helix feels like a deep exhale. |
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| Terraform vs. Pulumi vs. Crossplane: Choosing the right IaC Tool for your platform |
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| Terraform, Pulumi, and Crossplane take very different routes to Infrastructure as Code. Terraform sticks to a declarative HCL model with a massive provider ecosystem. Pulumi flips the script—developers write infrastructure in real languages, so logic is testable and dynamic. Crossplane? It runs inside Kubernetes as a control plane, handling continuous reconciliation with RBAC-wrapped abstractions. |
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| Visibility at Scale: How Detects Sensitive Data Exposure |
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| Segment gutted its old permissions table—bloated, slow, tangled in logic - and replaced it with a lean, service-based setup. The new stack runs on Postgres, Redis, and a sharply tuned Go API, cutting query times from 1400ms to under 100ms. Clean, fast, and centralized. |
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