🌍 Dev.to

How I replaced if statements with a Dictionary delegate in C#

Let's say you need to implement a feature that returns a different package based on the user-provided coupon code. So you start with a model: public record Package { public int Id { get ; set ; } public string Name { get ; set ; } public double Price { get ; set ; } } And you write a function that returns a different package based on the coupon code: private static Package GetPackageFromCoup...
Preview and edit material-kit-react without a build step
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Preview and edit material-kit-react without a build step

~7 min read · Tutorial I look at a lot of MUI admin templates. material-kit-react from the minimals people is one I keep going back to. Clean, typed, and the folder structure makes sense. Repo: minimal-ui-kit/material-kit-react . But every time I just want to see it, or change one color to check something, it's the same ritual. git clone , npm install , wait, npm run dev , wait more, tab over to localhost. Few minutes gone, a few hundred MB of node_modules on disk. All that t...
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Claude Code Plan Mode: How I Use It on Real Multi-File Work

The first time I let Claude Code take a serious auth change straight from prompt to patch, it changed nine files. Three of them were subtly wrong. The compiler was happy. The behavior was not. The mistake was not using an agent. The mistake was letting implementation start before I understood the approach. Claude Code plan mode fixes that specific failure. It splits the work into two steps: decide what should happen, then change the code. For small edits, the extra step is unnecessary. For...
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10 ChatGPT Prompts for Daily Use by L1 SOC Analysts

Article Summary: This article provides ten practical ChatGPT prompts tailored for L1 SOC analysts, covering scenarios such as alert triage, threat analysis, and documentation. It aims to optimise security incident response workflows. The core value lies in assisting analysts with repetitive tasks including alert summarisation, log anomaly identification, MITRE framework mapping, threat hunting, and executive reporting. It emphasises the need to avoid inputting sensitive data into public AI tool...
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I built a machine-payable API for AI agents and made $0.00 from strangers. Here's every number.

Over a few weeks I built and shipped a small x402 service on Base: token-risk.com , a pay-per-call API that returns deterministic structural risk reports for ERC-20 tokens and wallet addresses. Agents pay $0.01 in USDC per call — no signup, no API key. It's live, it settles real money on-chain, and it's indexed in the discovery layer AI agents actually read. This is the honest write-up. Every number here is real, including the zeros. The settlement transactions are on Base and linked so you ...
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Getting Real Numbers Into the VPA Model: The Commands and Tools

The companion post to this one, "What the VPA Recommender Is Actually Computing," walks through the decay-weighted percentile math, the OOM bump, and the calculator that lets you punch in numbers and see what VPA would recommend. All of that is only useful once you have real numbers to punch in. This post is the practical half: where each input actually comes from in a live cluster, which command pulls it, and where the one genuinely tricky piece, historical usage samples, actually lives. Eve...
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Building an AI Recruitment SaaS: Lessons Learned

Five months ago I deleted two months of work and started over. This is the honest version of what happened next building Beonmap , an AI-powered job discovery platform, as a bootstrapped team. The good parts, the expensive mistakes, and the problem we still haven't solved. Quick summary if you're skimming: Pivoted away from a CRM SaaS after 2 months Built web first, then deleted it and went mobile-only Google Play approved v0.1.0. Apple approved v0.1.7 one month later Now on ...
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Two TrueNAS servers, one rack — the CORE-and-SCALE split I never designed

Two TrueNAS servers. Same rack. One's on CORE, one's on SCALE. If someone asked me why, the honest answer isn't a design decision. It's a series of arrivals — one workload trigger at a time, each landing on whichever server had the shape to accept it, until the current arrangement crystallised into "how it is." Years of small choices, no whiteboard, no reorg since. The segmentation piece covered a design I made deliberately. The OPNsense piece covered a build I saw through carefully. T...
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DevOps na Prática: Como Reduzir Problemas com Servidores e Rede

Servidor caindo às três da manhã, rede instável derrubando uma transação em produção, deploy que funcionava em homologação e quebra tudo ao subir — quem já passou uma madrugada resolvendo esse tipo de incidente sabe que boa parte desses problemas não é falta de sorte, é falta de processo. A maioria das instabilidades de infraestrutura tem uma causa raiz recorrente: configuração manual, ausência de monitoramento proativo e deploys sem plano de rollback. DevOps não é uma ferramenta específica n...
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I Deployed a Purple Team Inside My Kubernetes Cluster. The Scanners Never Saw It Coming.

Three security scanners gave my cluster a clean bill of health. Then I deployed an attacker into a DaemonSet and discovered what static analysis actually misses. The Setup My homelab cluster is nothing exotic: a few Hyper-V VMs, a Raspberry Pi worker, and a Talos Linux control plane running the usual suspects: ArgoCD for GitOps, Cilium for CNI, Longhorn for storage. My workload is a typical cloud-native stack: a Go backend, a React frontend, PostgreSQL, the works. I did exa...
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From Arcade Cabinets to AI: How the GPU Changed Computing Forever

Before graphics processing units (GPUs) became the powerhouse chips driving modern video games, scientific simulations, and artificial intelligence, computer graphics were slow, blocky, and severely limited. Understanding how we got from simple glowing dots to today's hyper-realistic 3D worlds requires looking back at a few key breakthroughs in computing history. Part 1: In the Beginning — Legacy Systems & Early Graphics 1950: The Whirlwind Computer The long s...
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Build a Terraform provider for your side project's API (it's smaller than you think)

Writing a Terraform provider sounds like a big-company activity, something HashiCorp partners do with a team and a roadmap. In practice, if your API has CRUD endpoints, the provider is mostly plumbing. Here is the map worth having before you start. The running example throughout is the open-source Terraform provider for SMTPfast , a transactional email API. It is a small, complete provider you can read end to end as a reference: https://github.com/smtpfast/terraform-provider-smtpfast ...
HackerNews

Fields Medals 2026

Article URL: https://www.mathunion.org/imu-awards/fields-medal/fields-medals-2026 Comments URL: https://news.ycombinator.com/item?id=49022137 Points: 70 # Comments: 21
HackerNews

Launch HN: Screenpipe (YC S26) – Record how you work and turn that into agents

Hi Hacker News, I'm Louis. I built Screenpipe ( https://screenpipe.com ), an app that records your screen and audio locally (only!), and gives AI agents a searchable memory of what you've seen, said, and heard. This makes it easier to automate your repetitive tasks, turn them into SOPs (Standard Operating Procedure) and so on. I made a HN-style demo video at https://www.tella.tv/video/build-your-ai-second-brain-with-s... and there’s a marketing video at https://www.youtube.com/watch?v=c1jV6E9...
HackerNews

The arguments against open source AI are bad

Article URL: https://tombedor.dev/arguments-against-open-source-ai-are-very-bad/ Comments URL: https://news.ycombinator.com/item?id=49024643 Points: 95 # Comments: 63
HackerNews

What happened to TheNumbers.com

Article URL: https://stephenfollows.com/p/what-just-happened-to-thenumberscom-should-worry-us-all Comments URL: https://news.ycombinator.com/item?id=49024691 Points: 169 # Comments: 62