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#cloud

664 articles found

· 11 days ago· Dev.to

Beyond Basic Caching: Introducing `layercache` – The Production-Ready Multi-Layer Caching Toolkit for Node.js

The Unseen Challenges of Caching in Node.js Every Node.js developer eventually faces the caching dilemma. While simple in-memory caches like node-cache are great for quick wins, they quickly fall short in production environments with multiple instances. Redis offers distributed caching, but every re

#cloud#dev.to
EmDash vs WordPress: Which CMS Delivers the Best Speed for African Websites?
· 11 days ago· Dev.to

EmDash vs WordPress: Which CMS Delivers the Best Speed for African Websites?

The 3-Second Problem Killing Kenyan Websites Picture this: a mama mboga in Nakuru is trying to order supplies from a wholesale website on her Tecno Spark. She's on Safaricom 3G — maybe 4 Mbps on a good day. The WordPress site takes 4.7 seconds to load. She bounces. Sale lost. This isn't hypothetical

#cloud#dev.to
· 11 days ago· Dev.to

I Read the Claude Code Docs. All of Them. Here's What I Built.

Claude Code ships with roughly 40 discrete tools, a hook system covering 13 lifecycle events, and an Agent tool that can spawn subagents as flat tool calls. Most people use it as a single-session chat — type a request, get a response, move on. I spent six weeks reading every piece of documentation I

#cloud#dev.to
· 11 days ago· Dev.to

From ticket to PR with agents: how to use Claude to automate platform changes without breaking SLOs

In Platform Engineering and SRE, the hardest part of change is rarely writing the change itself. The hard part is everything around it: understanding the intent behind a ticket or incident, locating the right context, identifying the systems involved, deciding what should change, validating the blas

#cloud#dev.to
· 11 days ago· Dev.to

Building the Agent Harness: Subdirectory CLAUDE.md Files

One Big File Doesn't Scale Claude Code reads a CLAUDE.md file at the root of your project. It's the primary way to give the agent project-specific instructions. And for small projects, it works great. For this project, it didn't. The root CLAUDE.md grew to cover architecture, testing conventions, AP

#cloud#dev.to
How to install n8n self-hosted on AWS
· 11 days ago· Dev.to

How to install n8n self-hosted on AWS

In this post, you will install and configure your own n8n instance using AWS cloud services. This gives you more control over infrastructure, costs, and workflow customization. Using n8n in your own infrastructure (self-hosted) is an alternative to automate workflows without paying a monthly subscri

#cloud#dev.to
· 11 days ago· Dev.to

Project Glasswing: Securing critical software for the AI era

Ever found yourself knee-deep in code, working on an AI project, and suddenly realized that the software you’re building might just be under threat? Yeah, I’ve been there, too. As developers, we’re so immersed in creating, iterating, and deploying that security often fades into the background, like

#cloud#dev.to
· 11 days ago· AWS Blog

Launching S3 Files, making S3 buckets accessible as file systems

Amazon S3 Files makes S3 buckets accessible as high-performance file systems on AWS compute resources, eliminating the tradeoff between object storage benefits and interactive file capabilities while enabling seamless data sharing with ~1ms latencies.

#cloud#aws-blog
· 13 days ago· Dev.to

A New opensource Security AI model being built.

I Built an Open-Source Cybersecurity LLM From Scratch in Python What if you could build your own AI model — not fine-tune someone else's, not wrap an API — but actually build a transformer from scratch and train it on cybersecurity data? That's exactly what I did. And I'm releasing it under Apache 2

#cloud#dev.to
· 13 days ago· Dev.to

How AI Engineers Actually Use Datasets: Test Cases, Edge Cases and Agent Reliability

Most AI agent discussions focus on models. In practice, the model is rarely the problem. When you build an agent today you are almost certainly not training it. The model is fixed. What determines whether the agent actually works is everything around it: the tools it can call, the prompts that guide

#cloud#dev.to
· 13 days ago· Dev.to

Your Startup Isn’t Confusing Your Documentation Is (Here’s How to Fix It)

Most startups don’t have a product problem. They have a clarity problem. You built something powerful. But they don’t. Not because they’re not smart, And that’s costing you users. 🚨 The Silent Killer: Bad Documentation Here’s what’s happening behind the scenes: Users sign up No complaints. No feedb

#cloud#dev.to
· 13 days ago· Dev.to

Advancing DevOps/Cloud Learning: Strategies for Post-Foundational Skill Development

Introduction: Navigating the DevOps/Cloud Learning Journey You’ve nailed the basics—Linux, networking, AWS fundamentals, and even wrestled with Nginx and S3 permissions. Now, the real challenge begins: how do you advance beyond foundational knowledge without wasting time or money on suboptimal resou

#cloud#dev.to
· 13 days ago· Dev.to

I Built an Autonomous Job Application Agent with Claude AI — Here's How It Works

What I Built Job Hunter AI is an autonomous agent that searches job boards, researches companies using Claude AI, and generates tailored CVs and cover letters — with zero manual intervention. GitHub: https://github.com/Tanzil-Ahmed/job-hunter-agent Job hunting is repetitive and exhausting. Every app

#cloud#dev.to
My Claude Code Sessions Hit 70MB. So I Built a Distiller.
· 13 days ago· Dev.to

My Claude Code Sessions Hit 70MB. So I Built a Distiller.

I had a 4-hour coding session with Claude Code. Felt productive. Fixed a bunch of bugs, refactored a module, reviewed some screenshots Claude took of the UI along the way. Then I tried to --resume it the next day. The session file was 73MB. Claude loaded it, burned through half the context window on

#cloud#dev.to
· 13 days ago· Dev.to

Your API Isn’t Hard to Use Your Documentation Is Just Bad

Let’s be honest. Most developers don’t abandon APIs because they’re “too complex.” They abandon them because: the documentation makes them feel stupid. 🚨 The Real Problem You built a powerful API. But your documentation: Assumes too much So instead of building with your product, developers are stuc

#cloud#dev.to
Shipping AnywhereHired: Flask, Scrapy, and why “junior” job posts lie
· 13 days ago· Dev.to

Shipping AnywhereHired: Flask, Scrapy, and why “junior” job posts lie

I just launched AnywhereHired — a job board focused on early-career and entry-level remote jobs. Job search is exhausting when half the “junior” listings quietly expect senior-level work. I wanted one place that cuts noise and keeps the bar honest for people starting out (bootcamps, career switchers

#cloud#dev.to
· 13 days ago· Dev.to

Building in Public in 2026: Has the Strategy Been Gamed or Does Transparency Still Drive Growth?

The Death of Authentic Transparency: How Building in Public Became a Liability The "building in public" movement has become so saturated with performative content and hollow updates that it's now actively detrimental to genuine indie hackers. What was once a powerful tool for transparency and commun

#cloud#dev.to
· 13 days ago· Dev.to

How to Use Replicate the Right Way in Your Next.js App (And Ship a Real Product With It)

Most tutorials show you how to call Replicate. Few show you how to use it well inside a real production app. This article covers the mistakes I made and the patterns that actually work — using Goodbye Watermark as a real-world case study. Replicate is a cloud API that lets you run AI models — image

#cloud#dev.to
· 13 days ago· Dev.to

Self-Improving Python Scripts with LLMs: My Journey

As a developer, I've always been fascinated by the idea of self-improving code. Recently, I've been experimenting with using Large Language Models (LLMs) to make my Python scripts more autonomous. In this article, I'll share my experience with integrating LLMs into my Python scripts and how they've

#cloud#dev.to
· 13 days ago· Dev.to

Give Your AI Agent iMessage in 5 Minutes — Claude Code, Codex, Cursor

npx skills add emotion-machine-org/imessage-with-no-mac That one command gives your AI agent iMessage, RCS, and SMS. It works in Claude Code, Codex, Cursor, Gemini CLI, Windsurf, GitHub Copilot, and 20+ other AI coding agents. No Mac. No phone hardware. No webhook server. Claw Messenger is a managed

#cloud#dev.to
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