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I shipped 19 tools across 2 npm packages, got them reviewed, fixed 10 bugs, and published, all in one evening. I did not do it by typing faster. I did it by orchestrating multiple AI models the same way I would coordinate a small development team. That shift changed how I use AI for software work. I

Antes de hablar de soluciones, hay que nombrar los retos con claridad porque es donde más se subestima el esfuerzo. El primero es elegir la solución tecnológica correcta — no todas las cargas de trabajo necesitan multi-región y no todos los servicios de AWS están disponibles igual en todas las regio

Most agentic systems, like Claude Code, that run on laptops and servers, interact with files natively through bash. But building an agentic system that allows users to upload and work with files comes with its own limitations that make you unable to store files on the server the agent runs on, and g

There's a special kind of friction that kills productivity: the signup wall. You need to generate a QR code for a demo, grab a screenshot of a client's site, or validate a list of emails — and every tool wants your email address first. I built a set of browser-based tools that skip all of that. No a

I started subscribing to Hong Kong IPOs last August with HKD 50,000 in a brokerage account and a spreadsheet. Eight months and 12 IPO applications later, I've made a net profit of about HKD 8,200 — roughly 16.4% return. That sounds decent until you realize three of those twelve lost money, four brok

I have been running ML pipelines in production for few years. Tens of millions of predictions a day, real money on the line, no tolerance for guesswork. PulseFlow started as something I built for myself. A reference architecture I kept recreating from scratch at every company because nothing open so

Most developers assume you need React, Next.js, or Vue for modern web apps. But what if you could build a full-stack app using just Python? In this post, I’ll show you how to build a real web app using Reflex — a framework that lets you create frontend + backend entirely in Python. We’ll create a si

You can have a genuinely useful architecture discussion in ChatGPT, get the idea clear in your head, and then immediately hit the annoying part: now you need to turn it into a diagram. That is usually where momentum drops. You leave the conversation, open another tool, start dragging boxes around, a

The axios 1.14.1 supply chain attack hit packages with 100M+ weekly downloads. But here's what nobody's talking about — AI coding agents run npm install autonomously. No human reviews the packages. No human checks the lockfile. Your agent just trusts npm. This isn't a hypothetical. It happened this

released today github. i need some advice, i built an OS modularly and I'm not a business type. my question is this how do you prosper from open source? i want to help people, contribute to the system that made mine possible, but the thousands of hours i alone put in, dodging hacks and just plain no

If you are planning a network refresh, the marketing surrounding Wi-Fi 6 and Wi-Fi 6E can be confusing. While Wi-Fi 6 (802.11ax) was a significant upgrade over Wi-Fi 5 in terms of efficiency and capacity, Wi-Fi 6E is the first standard in nearly two decades to open up new spectrum. The difference be

Thoughtful defaults are a high-leverage way to lift UX while keeping delivery costs down. You can avoid extra settings screens or branching logic and simply lighten user decisions. Here’s why defaults work and practical examples you can ship today. Reduce decision cost: People follow what is framed

前言 大家好，今天分享一个我搭建的自动化A股分析系统，核心思路是用 Tushare 获取数据，用 AI 做基本面+技术面分析，实现批量筛选A股机会。 系统已经完成了4000只A股的批量分析，涵盖了新能源、半导体、医疗等多个热门板块。 数据源层 → DataFetcherManager统一抽象 → LLM分析引擎 → SQLite存储 核心特性： 多数据源自动切换（Tushare/Akshare/Eastmoney/Sina） LLM情绪评分 + 操盘建议 批量分析支持（已测试4000只A股） 飞书机器人定时推送 SQLite本地存储 系统会自动在多个数据源之间切换，一个失败立即切换下一个： r

A Network Attached Storage (NAS) device is more than just a hard drive with an ethernet port. It is a dedicated server designed to provide centralized data storage, media streaming, and automated backups for your entire network. Whether you are using a pre-built solution like Synology or building a

Most consumer routers ship with settings optimized for convenience rather than security. Out of the box, your gateway is likely broadcasting its model number, responding to external pings, and utilizing weak authentication protocols that are trivial to bypass with modern hardware. Hardening your net

Complete Guide to Istio Ambient Mode — Sidecarless Service Mesh for the AI Workload Era At KubeCon + CloudNativeCon Europe 2026 in Amsterdam, the Istio project announced three major features: Ambient Multicluster Beta, Gateway API Inference Extension Beta, and experimental Agentgateway support. The

SMS API returned success but the message never arrived. Your request succeeded. The API returned success. But that does not mean the message was delivered. Most SMS APIs stop at submission. You get a success response, but that usually only means: the request was accepted the message entered the queu

Originally published at news.skila.ai Oracle terminated 30,000 employees via a 6 AM email on March 31, 2026. No warning from HR. No meeting with their manager. Just a message from "Oracle Leadership" telling them the day of the email was their last day. The reason was not that AI learned to do their

Tushare + AI 量化分析实战：从数据采集到智能选股 本文介绍如何基于 Tushare Pro 搭建一套完整的 A股量化分析系统，支持批量分析 4000+ 只股票，LLM 驱动的情绪评分和智能选股。 我在研究 A股量化投资时，需要一个能够： 批量采集全市场股票数据 自动分析每只股票的技术面和消息面 智能筛选符合特定条件的标的 传统方式需要人工筛选，效率低下。于是我搭建了 DSA（Deep Stock Analysis）系统。 数据源层（Tushare/Akshare/Eastmoney/Sina） ↓ DataFetcherManager（多源自动切换） ↓ Pipeline（数据处理

Most of the time, Python’s built-in sorted() and list.sort() are all you need. But if you ever try to sort a lot of data—millions to billions of values, big numeric logs, or giant SQL exports—you quickly run into a wall: RAM, speed, or both. So I built Quill-Sort (quill-sort on PyPI). / quill-sort q