Privacy-Preserving Active Learning for heritage language revitalization programs across multilingual stakeholder groups
🌍 Dev.to

Privacy-Preserving Active Learning for heritage language revitalization programs across multilingual stakeholder groups

Privacy-Preserving Active Learning for heritage language revitalization programs across multilingual stakeholder groups Introduction: When a Dying Language Met Differential Privacy Last spring, I found myself hunched over a laptop at 2 AM, staring at a dataset of 4,200 annotated sentences in Nahuatl — a language with roughly 1.7 million speakers, most of them elders, scattered across central Mexico. A community organization had reached out to me after reading one of my earlier a...
🌍 Dev.to

Architectural Decisions: Multi-Process vs. Multi-Threading

When designing parallel and concurrent systems, developers invariably face a core architectural dilemma: Multi-Process vs. Multi-Threading. If you learned systems programming in C, you likely remember fork() and join() (or waitpid()) as the default primitives for spawning and managing execution units. In the early days of Linux, POSIX thread implementations were notoriously fragile, making process cloning the de facto standard for parallelism. However, as operating systems matured and prod...
🌍 Dev.to

Spring WebFlux: A Practical Guide for Java Developers

1. Introduction — Why Does WebFlux Exist? If you've built REST APIs with Spring MVC, you know the model: one thread handles one request, start to finish. That thread blocks while waiting for a database call, a downstream HTTP call, or a file read. This is called the thread-per-request model, and it works fine — until you have thousands of concurrent, slow, I/O-heavy requests. At that point, you run out of threads, not CPU. Spring WebFlux solves this by using a reactive, non-blocking m...
🌍 Dev.to

Tutorial Hell Is Comfortable. Here's How I Got Out.

Tutorial hell doesn't feel like hell. That's the problem. It feels like progress. You watch a video, you type along, the code runs, and you think "I get it." Then you open a blank file and nothing comes. I lived in that loop for a long time. This is how I got out. How to know you're in it You finish a course and immediately start another one You can follow along, but a blank editor freezes you You say "I'll start my own project once I learn a bit more" Your projects...
🌍 Dev.to

Every LLM framework rebuilt the same tool object

If you give an LLM access to your code, you write tools. A tool is a function plus what a model needs to call it: a name, a description, and a schema for the arguments. Then you write the same tools again. The first version uses the AI SDK's tool() . The project adds an MCP server, so the tools are rewritten for registerTool . Another team uses Mastra, and the tools are written a third time with createTool . The functions stay the same. Only the wrapper changes. Each wrapper is also tie...
🌍 Dev.to

Today, I spent time revising two essential core concepts in JavaScript:

JavaScript Objects and Arrow Functions. Here is a quick breakdown of what I covered: ​1. JavaScript Objects (Key-Value Pairs & Methods) ​Objects allow us to group related data and functionality together. ​Example 1: Mobile Object: const mobile = { brand: "Vivo", price: 15000, network: "5G", browse: function () { console.log("Browsing..."); } } Example 2: Bike Objects (TVS & Bajaj): const TVS = { model: "XL-100", price: 99000, cc...
🛜 The Journey of Data Through a Wi-Fi 7 NIC
🌍 Dev.to

🛜 The Journey of Data Through a Wi-Fi 7 NIC

A Deep Investigation I've been sitting on this project for a while, I haven't shared it until now. While learning about networking and on one of my massive side tangents, I thought it would be really cool to have a detailed breakdown of what the data is doing at what stage in the process. No, not another OSI Model post, but the Wi-Fi 7 NIC exclusively. I wanted to know, "What is the process for the cutting edge Wi-Fi technology?" - something I have limited knowledge about. That's a VERY B...
🌍 Dev.to

Four ways "the post succeeded" can be a lie

I build a tool that schedules social posts. This week I added four new places to publish: WordPress, dev.to, Hashnode and Lemmy. Then I had each adapter reviewed by someone who did not write it. The most useful findings were all the same kind of bug: the code said "published" when it had only proven "the server answered". Here are four ways that happens. 1. A 200 is not the post My first version of the read-back check fetched the public page and treated HTTP 200 as "live". Tha...
TypeScript `Partial`, `Required`, and `DeepPartial` in 2026: Which Utility Type Actually Fits Your Use Case
🌍 Dev.to

TypeScript `Partial`, `Required`, and `DeepPartial` in 2026: Which Utility Type Actually Fits Your Use Case

TypeScript Partial , Required , and DeepPartial in 2026: Which Utility Type Actually Fits Your Use Case This article was written with the assistance of AI, under human supervision and review. Most TypeScript utility type problems stem from teams treating Partial<T> , Required<T> , and DeepPartial<T> as interchangeable shortcuts when each solves a distinct problem. Developers reach for Partial to silence compiler errors during form updates, then spend week...
🌍 Dev.to

Why ChatGPT Gives Wrong Answers (and How to Stop It)

You asked something. The answer came back polished. Later you found out it was wrong. A statistic that doesn't exist. A citation to a paper nobody wrote. A confident summary of a document that says the opposite. The frustrating part isn't the mistake. It's that nothing in the reply looked like a mistake. No hedge. No wobble. No visible seam. That gap is the thing worth understanding. Once you see why confidence and accuracy have nothing to do with each other, you stop being surprised and st...
🌍 Dev.to

Will AI Take My Job? A Practical Way to Think About It

People ask it as a yes or no. It isn't one. Not because nobody knows the answer, but because "job" is the wrong unit to ask about. Almost nobody does one thing at work. You do a bundle of tasks, and AI hits each one differently. Some are already mostly automatable. Some are decades out. A few will actually get easier in a way that makes you more valuable, not less. Average all of that into a verdict about your job title and you throw away the information you actually need. So here's the us...
🌍 Dev.to

Stop bad data at the pull request with Great Expectations and GitHub Actions

By the end of this post, a pull request that breaks your data will fail in GitHub before anyone can merge it. Most data quality checks run after the data lands. But often, what broke it was a code change approved an hour earlier. So let's check it right there, in the pull request, with three pieces: A data contract in YAML. A Python script that turns it into Great Expectations (GX) checks. A GitHub Actions workflow that runs the script on every pull request. All the files are ...
🌍 Lobsters

Tcl/Tk 9.1

Comments