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

ExternalSoftware Engineering
DEV Community

How has my relationship with AI evolved?

Everyone is talking about how AI is helping junior developers write code they couldn't write before. That's true. But there's a less-told story: what happens when a senior developer picks up these tools. The leverage is completely different — and I didn't fully understand that until I was six months deep into it. Here's how my working relationship with AI actually evolved, from tentative experiments to the workflow I rely on today. I started where most developers start: GitHub Copilot inside VSC

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ExternalAI
AWS Machine Learning Blog

Monitor and debug generative AI inference with SageMaker detailed metrics and Insights dashboard on CloudWatch

Amazon SageMaker AI provides fully managed real-time inference hosting for machine learning models. You deploy a model to a SageMaker endpoint backed by one or more compute instances, and SageMaker handles provisioning and scaling. SageMaker supports multiple endpoint architectures. This post focuses on the two most relevant to generative AI workloads with detailed observability: Single-model endpoints (SME) and Inference component (IC) endpoints.

Amazon CloudWatchAmazon SageMakerAnnouncements
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ExternalSoftware Engineering
DEV Community

Vultr Vs Digitalocean: Which Is Better in 2026?

Choosing between Vultr vs Digitalocean: Which Is Better in 2026? You're not alone. If you’re trying to launch a VPS, host a production app, spin up a staging server, or migrate from shared hosting, these two cloud platforms are usually on the final shortlist. I’ve used both for real workloads: small WordPress installs, Laravel apps, lightweight Docker stacks, and test databases. The short version is this: Vultr gives you more location flexibility and strong raw compute value, while DigitalOcean

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ExternalSoftware Engineering
DEV Community

BFS: The Jedi’s Shortcut Through the Graph Galaxy

The Quest Begins (The "Why") I still remember the first time I stared at a LeetCode problem that asked for the minimum number of moves a knight needs to reach a target square on a chessboard. My brain went into overdrive: “Do I try every possible path? That’s exponential! Do I brute‑force it with recursion? My laptop will melt.” I felt like Neo in The Matrix staring at a cascade of green code, except the code was just a tangled mess of loops and conditionals. That’s when I realized I was mis

algorithmsdatastructuresprogramming
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ExternalSoftware Engineering
DEV Community

How We Translate Entire Books with LLMs Without Losing Context

Our chunking strategy that keeps chapters coherent, respects context windows, and handles multi-lingual books. At LectuLibre, we translate entire books — novels, technical manuals, poetry — using large language models. It sounds simple: feed each paragraph to an LLM, concatenate results, done. But the moment we tried a 300‑page EPUB, chaos ensued. Chapters bled into each other, sentences were chopped mid‑word, and the translation of chapter 5 had no idea what happened in chapter 4. LLMs have lim

pythonaitutorial
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ExternalSoftware Engineering
DEV Community

Browser Automation for AI Agents: What Actually Works

Originally published at dylanworrall.com. Most agent demos that involve a browser are shot in one take for a reason. The moment you try to make browser automation reliable — running unattended, across sites you don't control, hundreds of times — it stops being a demo and starts being an engineering problem. I've spent a lot of time on that problem building the browser layer inside Froots, and a handful of patterns made the difference between "works in the video" and "works at 3am while I'm aslee

aiautomationwebdev
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ExternalSoftware Engineering
DEV Community

I Cancelled My $240/Year ChatGPT Subscription. 30 Days Later, My Laptop Knows Me Better Than GPT-4 Ever Did.

The subscription renewal email landed on a Tuesday. $20/month. Auto-renew in 3 days. I'd been paying it for a year without thinking — the way you pay for a gym membership you stopped using in March. Except I was using it. Every day. Dumping my business plans, my client notes, my half-formed product ideas into a system that forgot everything the moment I closed the tab. I stared at that email for maybe ten seconds. Then I cancelled it. Not because I had a plan. Because I had a question that had b

aidiscusscareer
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