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AI agents are getting access to production data and we’re doing it wrong. Most teams are connecting agents directly to databases. This works in demos. Because AI agents are not deterministic systems. They: explore instead of follow rules generate queries instead of executing predefined logic optimiz
I built a machine that makes digital products. It runs 24/7 on a $600 Mac mini in my home office. Here's the honest story: 119 pipeline runs, 57 products shipped, $0 in revenue so far — and why I'm publishing this anyway. The idea is embarrassingly simple: scan the internet for pain points → rank wh
If you've ever added a server to a cache cluster and watched your database melt, you already know the problem consistent hashing solves. You just might not know it by name. I built a full implementation from scratch in Go to understand it deeply. This post walks through what I learned — the problem,
El concepto de Multi-Stage CD es sencillo: llevas código a prod en varias iteraciones y a través de diferentes ambientes — dev, staging, prod — con fases bien definidas: build, prepare, deploy, test, notify, rollback. Suena limpio. Y en papel, lo es. El problema es la realidad. Según el State of Dev
What Is GitHub Copilot Code Review? GitHub Copilot code review is an AI-powered feature that analyzes pull requests directly within the GitHub interface and posts inline comments on potential bugs, security issues, performance problems, and code quality concerns. Instead of waiting hours or days for
A practical guide to migrating a federated remote to Vite, based on lessons from a real migration. I was tasked with updating a legacy React application that did not support Module Federation. That integration was added first so the app could run as a remote inside a larger host application. Later,
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
