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Curated links from external sources — not 360Softy original articles.

ExternalSoftware Engineering
DEV Community

Claude Code Slash Commands You Should Know (I wasn't either)

Most people (myself included) mainly use Claude Code like a chatbot — type a request, get some code, repeat. But there's a whole layer of slash commands that make it significantly more powerful. Here's a rundown of the ones worth knowing. /resume /branch git branch, but for your conversation. /clear /init CLAUDE.md file — the place where Claude learns about your stack, your conventions, and your project structure. Think of it as onboarding Claude to your codebase. /plan /memory /diff what exactl

aiclaudeclaudecode
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ExternalSoftware Engineering
DEV Community

"7 Free GitHub Repos Every Beginner Should Star Right Now"

"GitHub isn't just for hosting your code. It's the biggest free library of developer knowledge on the planet. These 7 repos have helped more developers than any paid course ever will." Okay real talk. 👇 Most beginners use GitHub for one thing — pushing their own code. That's like having a library card and only using it to store your own diary. 😂 GitHub has thousands of FREE repos that are basically entire curriculums, roadmaps, cheat sheets, and interview prep guides — maintained by some of th

webdevjavascriptbeginners
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ExternalSoftware Engineering
DEV Community

Blockless Scope: JavaScript Shenanigans

As a JavaScript developer, you've likely been told that let and const are block scoped. But, how does that work when there is no block? It doesn't get much more straightforward than this. // logs 10 ten times for (var i = 0;i < 10;i += 1) { setTimeout(() => console.log(i), 10); } // logs 0-9 for (let i = 0;i < 10;i += 1) { setTimeout(() => console.log(i), 10); } This classic example (which I talked about in Simplify setTimeout) shows a clear example of a variable and a block scope. But for

beginnersjavascriptprogramming
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ExternalSoftware Engineering
DEV Community

🧠 Plano Físico vs Plano Funcional en AWS Networking: cómo los arquitectos senior resuelven lo que otros no ven.

Introducción El túnel VPN está UP. El attachment del TGW existe. El BGP está establecido. Y el ping no llega. Si alguna vez pasaste más de 30 minutos en ese escenario, el problema probablemente no estaba en el enlace — estaba en que estabas buscando en el plano equivocado. Hay una confusión que aparece constantemente en diseños de conectividad cloud, en reviews de arquitectura y en conversaciones con equipos técnicos muy capaces: mezclar el plano físico con el plano funcional. No es una confusió

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ExternalSoftware Engineering
DEV Community

I Accidentally Built an AI Employee Out of Scripts and Bad Sleep Habits

The kitchen table had become infrastructure without anyone formally deciding it should. Two laptops sat open because one had quietly developed thermal problems months earlier and now worked better when left mostly alone. There was dust trapped under keycaps, tangled USB cables wrapped around a cheap mouse, and a notebook filled with diagrams that looked increasingly less like project planning and more like someone mapping utility lines under a city. The apartment was warm in the way apartments g

aiprogrammingproductivity
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ExternalSoftware Engineering
DEV Community

Stop Chasing Shiny Tools: A Minimalist AI Stack That Actually Makes You Money

There is a folder on my desktop called new-tools. It should not exist. Inside: abandoned browser extensions, cloned repositories, AI wrappers I swore would change everything, free trials that expired quietly in the night, and at least three note taking apps that promised to become my “second brain” before immediately developing amnesia. The folder is a graveyard with rounded corners and modern branding. Meanwhile, the systems that actually make money for me are boring. Not ugly boring. Useful bo

aiprogrammingproductivity
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ExternalAI
NVIDIA Technical Blog

NVIDIA Dynamo Snapshot: Fast Startup for Inference Workloads on Kubernetes

The cold-start problem In production inference deployments, demand fluctuates over time, requiring inference replicas to scale elastically. However,... In production inference deployments, demand fluctuates over time, requiring inference replicas to scale elastically. However, cold-starting inference workloads on Kubernetes can take several minutes. During that time, GPUs are allocated but idle, generating no tokens and serving no requests. This delay increases the risk of service level agreemen

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