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ExternalSoftware Engineering
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My LLM drift tracker flagged four regressions this week. All four were wrong.

I run a public board that probes 16 LLMs on a frozen 35-task suite, once a day, and keeps every score. When a model drops against its previous run, it opens a GitHub issue by itself and writes me a draft post. Between 21 and 24 July it did that four times: 23 Jul Gemini 3.5 Flash -11.4 pts 24 Jul Gemini 3.1 Pro -2.9 pts 21 Jul Grok 4.3 -5.7 pts 22 Jul Llama 3.3 70B -2.9 pts Four regressions in four days, across three labs. That's a post that writes itself, and it wou

aillmmonitoring
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ExternalSoftware Engineering
DEV Community

How HTTPS Actually Works: TLS, Certificates, and Encryption

Analogy Imagine you're sitting in a coffee shop. You connect to the free Wi-Fi. You decide to log into your bank account. Your browser sends your username and password over the network. Now imagine every person connected to that same Wi-Fi can read everything you're sending. Your password. Your balance. Your account number. Terrifying. Yet that's exactly how the early Internet worked. There was no encryption. No certificates. No secure connections. Just plain text traveling across the network. H

securitynetworkingwebdev
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ExternalSoftware Engineering
DEV Community

I built a memory layer that works across Claude, ChatGPT and Cursor — and rendered it as a 3D brain

Every AI tool remembers you a little. None of them remember you to each other. The context I build up in ChatGPT is invisible to Claude, and my Cursor sessions know nothing about either. And the worst version of it: having a genuinely useful long conversation, then watching it sink into an infinite sidebar where I'd never find it again. So I spent the last stretch building Mind Silo — one memory layer that all of them read and write to. Capture. A Chrome MV3 extension passively reads conversatio

showdevaipython
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ExternalSoftware Engineering
DEV Community

How to Contribute to an Open-Source AI Trading Bot

How to Contribute to an Open-Source AI Trading Bot If you want to contribute to an open-source AI trading bot — and build on a real, running system instead of a toy — this guide shows you exactly how. The Claude-powered crypto bot from Part 1 is MIT-licensed on GitHub, and the most interesting problems in it are wide open. You don’t need to be a quant or an ML expert; there’s meaningful work here for developers, traders, writers, and testers alike. 👋 New to open source? That’s fine — this is a

opensourceaicrypto
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ExternalSoftware Engineering
DEV Community

Building a Rock Music Recommender with ML.NET: From Training to Model Evaluation

I've just published a practical series about building a music recommendation system using ML.NET and ASP.NET Core. The goal wasn't just to train a recommendation model, but to explain the complete workflow, from understanding how recommendation systems work to evaluating whether the model is actually good enough to be used in a real application. The series covers: Articles: https://devfullstack.net/blog/how-recommendation-systems-work https://devfullstack.net/blog/how-to-evaluate-a-recommendatio

machinelearningmusicai
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ExternalSoftware Engineering
DEV Community

Why SQL Is Still the Most Important Skill for Data Engineers

Every year there's a new "must-learn" technology—Spark, Kafka, Databricks, Snowflake, AI, LLMs... But one skill has remained essential through every wave of innovation: SQL. When I first started learning Data Engineering, I thought SQL was just another box to check. "Learn some SELECT statements, a few JOINs, and move on to Python." I couldn't have been more wrong. The more real-world projects I worked on, the more I realized that SQL isn't just a language—it's how data engineers think. No matte

dataengineeringsqlpython
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ExternalSoftware Engineering
DEV Community

Universidad Fermín Toro, Auditoría de Sistemas: Cómo Hacer una Auditoría

Publicado por Eduardo Iribarren Cuando alguien escucha la palabra "auditoría" suele pensar en cuentas, facturas y un contador con calculadora. Pero en el mundo del software hay otra auditoría, igual de rigurosa, que no revisa dinero sino código, datos y controles: la auditoría de sistemas. En este artículo explico qué es, cómo se hace paso a paso, y — para que no quede en teoría — la aplico de principio a fin sobre un sistema real: EduManage v1.0, la plataforma de gestión académica que desarroll

phpmysqlspanish
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ExternalSoftware Engineering
DEV Community

Угарный марионеточный спектакль с видимостью visible.

Принцип Марионетки:changeBtn.classList.add('visible'); Система управление куколкой. Я, управляю кнопочкой changeBtn через JS-логику, и не трогаю куклу руками CSS класс:visible . Я дёргаю ее за ниточку добавляя к ней внутрь display:block(закон физики) управление производится через Семантическому Контейнер id:changeBtn. А сама кукла уже танцует по Законам Физики, которые я прописал в своём CSS-слое. Кукла:HTML-Скелет changeBtn это мой Семантический Контейнер, значение в кнопке триггер button: Сме

cssfrontendhtml
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