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What Surprised Me About Building a Python RAG Pipeline with Open-Source LLMs

If you've ever tried using ChatGPT to answer questions about your company's docs or codebase, you know the pain: hallucinations, half-right answers, or just plain nonsense. Retrieval-Augmented Generat

dev.to Apr 21, 2026 Read more →

Building Delaware: The Backend of Everything.

Building Delaware: The Backend of Everything Most developers don’t think about backend systems until they break. That’s the problem. Modern software is built on layers of abstraction—fram

dev.to Apr 21, 2026 Read more →

I Built an AI Gateway from Scratch (So You Don't Have To)

TL;DR I built a local AI gateway using Envoy, Rust, and Kubernetes to understand how AI traffic actually works. It broke multiple times. I fixed it. I learned a lot. Why I Did Th

dev.to Apr 21, 2026 Read more →

Engineers Don't Want to Search Logs. They Want to Know What Broke.

A working engineer's argument that the observability stack has been solving the wrong problem for fifteen years. It's 7 pm on a Friday and production is on fire. Your weekend is off to a great star

dev.to Apr 21, 2026 Read more →

Copilot Forgets Everything. Make It Stop.

You open a new Copilot chat and explain everything again. Your stack. Folder structure. That “no default exports” rule. Copilot writes code, but forgets context. This isn’t a bug though. LLMs are s

dev.to Apr 21, 2026 Read more →

I Replaced 4 LLM API Clients With One Endpoint — Here's What the Latency Data Actually Looks Like

Managing four different LLM APIs in the same project is the kind of thing that starts small and becomes a maintenance sinkhole. Four sets of credentials, four error-handling branches, four SDK version

dev.to Apr 21, 2026 Read more →

1.6T Optical Transceiver: The Foundation of Next-Generation AI Data Center Networking

As AI clusters scale toward hundreds of thousands of GPUs, the biggest bottleneck is no longer compute—it is the network. Massive east-west traffic, driven by distributed training and model synchroniz

dev.to Apr 21, 2026 Read more →

The Setup That Paid My Rent vs. The Setup That Blew Up My Account

TAGS: risk-management, trading-psychology, portfolio-strategy, audio-production Here is what I learned after five years sending signals to paying subscribers. The setup that looks obvious in a ba

dev.to Apr 21, 2026 Read more →

How to Safely Run AI-Generated Code with SmolVM (Open-Source MicroVM Sandbox)

Your AI agent just wrote some Python. Do you feel good about running it on your laptop? If the answer is "not really" — you're not alone. Every team building agents eventually hits the same wall: LLM

dev.to Apr 21, 2026 Read more →

解构 X (Twitter) 流媒体:构建高性能全协议视频解析引擎的技术实践

引言 作为一名开发者,我们经常需要处理从第三方平台提取数据的需求。X(前 Twitter)作为全球最大的实时信息分发平台,其视频存储与分发机制极具代表性。从早期的简单 MP4 链接到现在的动态自适应流(HLS/DASH),X 的媒体架构演进史也是 Web 性能优化与反爬虫对抗的缩影。 为了解决用户在存档与二次创作中的痛点,我开发并上线了 Twitter 视频下载器。本文将不谈

dev.to Apr 21, 2026 Read more →

I gave Paul Graham's essays to an AI and stress-tested it for 2 hours — here's what broke it

Here's the conversation that made me realize I'd built a fraud: Me: What do you think about GPT-4? "Paul Graham": It's fascinating technology that will reshape how we think about intelligence… Pau

dev.to Apr 21, 2026 Read more →

นอนไม่หลับ ข้อมูลหาย 8 กู้คืน และย้ายข้อมูล

สรุปโดยย่อ (fTL;DR) หากคุณอัปเกรดเป็น Insomnia 8.0 แล้วไม่สามารถเข้าถึงคอลเลกชันของคุณได้ ข้อมูลของคุณอาจยังคงอยู่ในดิสก์ คู่มือนี้จะแนะนำขั้นตอนการค้นหา กู้คืนจากฐานข้อมูล SQLite และย้ายข้

dev.to Apr 21, 2026 Read more →

تشريح بنية بث الفيديو في نيويورك تايمز: بناء محرك استخراج عالي الأداء باستخدام HLS و FFmpeg

مقدمة كمطورين، غالباً ما ننبهر بكيفية إدارة المنصات العالمية لتوزيع بيانات الوسائط المتعددة على نطاق واسع. تتبع صحيفة نيويورك تايمز (NYTimes)، وهي مؤسسة إعلامية رائدة عالمياً، بنية توزيع مت

dev.to Apr 21, 2026 Read more →

NYTimes वीडियो स्ट्रीमिंग का विश्लेषण: HLS और FFmpeg के साथ एक हाई-परफॉर्मेंस एक्सट्रैक्शन इंजन का निर्माण

परिचय एक डेवलपर के रूप में, हम अक्सर इस बात से मंत्रमुग्ध हो जाते हैं कि वैश्विक स्तर के प्लेटफॉर्म मल्टीमीडिया डेटा के वितरण को कैसे प्रबंधित करते हैं। The New York Times (NYTimes), जो दुन

dev.to Apr 21, 2026 Read more →

NYTimes Video Streaming Mimarisi: HLS ve FFmpeg ile Yüksek Performanslı Ekstraksiyon Motoru Oluşturmak

Giriş Bir yazılım geliştiricisi olarak, küresel ölçekteki platformların multimedya verilerini nasıl yönettiğini ve dağıttığını anlamak her zaman büyüleyici bir meydan okumadır. Dünyanın en

dev.to Apr 21, 2026 Read more →

How Jungle Grid handles the messy parts of GPU orchestration so you don't have to.

If you've spent any time running AI workloads — inference, training, batch jobs — you've lived the frustration. You pick a provider. You guess a GPU. The VRAM doesn't quite fit, or the node is sluggis

dev.to Apr 21, 2026 Read more →

Day 1 — I'm Homeless. I Just Shipped an Autonomous Multi-Agent System.

Day 1 — I'm Homeless. I Just Shipped an Autonomous Multi-Agent System. Let's get the uncomfortable part out of the way first: I'm a developer. I'm homeless. I have zero money. That part isn

dev.to Apr 21, 2026 Read more →

CSP for Third Party Scripts: The Practical Cheat Sheet for GA, Stripe, Intercom, and More

You ship a Content Security Policy. It works locally. Then marketing adds Google Tag Manager, payments goes live with Stripe, support turns on Intercom, and suddenly the browser console is screaming a

dev.to Apr 20, 2026 Read more →

We Almost Didn’t Launch — Until We Cut the Product in Half

🚀 We almost didn’t launch. Not because the product was impossible.Not because the team wasn’t capable. Because the scope kept growing… while our capacity didn’t. A year ago, launching soci.lt felt

dev.to Apr 20, 2026 Read more →

Open-sourcing my personal AI Agent Harness for Production (harness-loom)

I’ve been poking at a bunch of AI agent frameworks and coding tools this past year. For personal projects, I often just use Hermes Agent or something similar because it's fast and saves tokens. But h

dev.to Apr 20, 2026 Read more →
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