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Dynamic Model Selection: Routing AI Requests to the Right Model at Runtime In the rapidly evolving landscape of artificial intelligence, re
I maintained a shared DataWeave utility library across 12 Mule apps for 2 years. Functions like topN, pipe, and safeGet. All untyped. All accepting An
Migrating from LangChain to NeuroLink: A Practical Guide for TypeScript Developers The AI development landscape is evolving rapidly, and wi
I built Material Symbols SVG, an icon library that lets you use Google's Material Symbols as SVG components across frameworks. It currently supports:
Introduction & Problem Statement Imagine crafting a digital magazine layout where Arabic poetry flows seamlessly alongside English commenta
When we built client-side video clip export using Canvas + MediaRecorder, everything looked great — the video rendered correctly with captions, progre
When you build a browser-based video export pipeline with Canvas 2D + MediaRecorder, you'll quickly hit a problem: you also need a live preview — play
The problem Every time I started a new project that needed a web app, a mobile app, and a backend API, I ended up with three separate repos, three
Executive Summary With the rise of AI in software development, tools like Crush CLI by Charmbracelet are redefining how developers interact
Freqtrade botu çalıştırıyorum. Stratejim var, bot işini yapıyor, benim müdahaleye gerek yok. Teorikte. Pratikte gece 23'te ekrana bakıyorum. Bir şey
I run a Freqtrade bot. Like most people who run trading bots, I tell myself I'm "not constantly checking it" — and then check it constantly. The ritu
Table of Contents Table of Contents 🎯 Why Another Boilerplate? 🏗️ High-Level Architecture 📁 Project Structure — Organized for Scale ⚡ The
Every developer has been there. You join a new project, or you're cleaning up a legacy codebase, and you see it: UserService.ts product_api.js get-o
If you've spent any time building with AI agents, you've probably reached for an orchestration framework. You've given agents roles, wired up task rou
Every time I start a new Electron project, I waste hours setting up the same boilerplate. Webpack config, React integration, TypeScript setup, getting
A single AI request touches more systems than you think. The prompt leaves your application, hits a load balancer, reaches a provider API, triggers to
You built a RAG pipeline. You embedded your documents, wired up hybrid search, and the retrieval stage returns twenty candidates in under fifty millis
We designed NeuroLink’s MCP circuit breaker because a single flaky Jira MCP server was taking down entire AI agent workflows. One tool returning timeo
Two-Pass LLM Processing: When Single-Pass Classification Isn't Enough Here's a pattern I keep running into: you have a batch of items (mess
TL;DR Prediction-market automation is having a GitHub moment: arbitrage-style bots, Rust trading skeletons, market-making keepers, and “24/