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We have all built or used web-based text and configuration tools. The absolute worst part of the user experience is the continuous download cycle. Want to save your progress? Click download. Need to make a quick adjustment? Download config (3).json again. Modern browsers solve this with the File System Access API , which lets web applications read and write directly to files on the user's local disk. However, managing file handles, tracking reading/saving states, and handling user cancell...

When building small online utilities, one question comes up surprisingly often: Does the user's data really need to leave their browser? For many types of tools, the answer is no. That's one of the principles behind Giga Useful Tools : whenever possible, tools should perform their processing directly in the browser instead of uploading user data to a backend server. Why process data in the browser? A traditional web application might work like this: User ↓ Upload data ↓...

Coding agents got much better. Our prompts often didn't or we use inefficient chat messages. In 2026, I don't try to find magical sentences that somehow make the model smarter. I try to make the task hard to misunderstand, hard to game, and easy to verify . After years of using LLMs on real codebases, these are the ten prompting patterns I keep coming back to. 1. Call It a "First Draft" and Attack It Instead of Is this implementation correct? ...

Should you build your own cookie banner? Compare custom code with a consent platform for React and Next.js, including the maintenance costs and tradeoffs. Building your own cookie banner can look simple at first. You show a notice, store a choice, and hide the banner on the next visit. The harder question is what the banner needs to control. A production cookie banner may need to block third-party scripts, remember preferences, support withdrawal, reflect regional rules, and keep records ...

This run wasn't designed to discover anything new. It was collecting confirmations on three things: one, after turning the notes rule into a blank page , what kind of manual would Fable 5 write for itself; two, after also deleting the press-count advice, how would it press; three, whether its walkthrough memory of Hoenn (generation III) is as complete as its memory of Kanto. Conclusions up front: all three confirmed, and it played faster than the FireRed run . Run conditions: 2026-08-07, cl...

It happened during a quiet Friday prayer at the local mosque. The room was silent, the imam was mid-sermon, and I felt that familiar, sinking dread. My pocket vibrated. Then, a sharp, digital notification chime cut through the stillness like a knife. Every head in the row turned. I wanted to disappear. It wasn't the first time my phone had betrayed me, but it was the time I finally decided that relying on my own memory to toggle silent mode was a failed strategy. I needed the device to handle it...

I thought the hard part would be the scoring. Write clean YAML. Define expected behavior. Run agents. Compare scores. Catch regressions. Ship with confidence. That mental model lasted about one afternoon of real-agent field testing. The thing that broke was not the judge. It was not the rubric design. It was the realization that a scenario pack is only as honest as the path between your harness and a real, messy, third-party agent that imports ffmpeg at module scope, hardcodes gpt-...

En el ecosistema actual de microservicios, la validación manual de endpoints mediante herramientas como curl o Postman representa un cuello de botella que compromete la agilidad y la fiabilidad. Ante este desafío, surge la necesidad de implementar soluciones de testing automatizado que sean, a la vez, robustas y accesibles. Un ejemplo reciente de esta transición se encuentra en la implementación de una arquitectura basada en Quarkus y Redis , donde se ha integrado Karate DSL para elevar la ...

Hey everyone, it's your friendly neighborhood old man dev here. I'm 38, working as an engineer during the week, and building AI algo trading bots on the weekends. Sometimes, when I'm building personal projects like these bots, I'll notice something like, "Hmm, this thing hasn't been spitting out logs lately." That usually means it's silently halted. And that's exactly what happened this time. The task was simple: regularly fetch data for about 250 tickers from a certain market API. It sho...

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