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ProgrammingDEV Community ·

I built a Chrome Extension to extract Tailwind & Figma tokens (and got blocked by Reddit bots 🤖)

As someone who constantly jumps between UI/UX design in Figma and writing Tailwind components, I was wasting hours manually inspecting computed CSS to extract hex codes and build tailwind.config.js files. Over the weekend, I built Token Inspector, a 100% client-side Chrome extension to automate this. In one click, it exports ready-to-use Tailwind configs, Tokens Studio JSON, and zips all inline SVGs. I tried sharing it on Reddit this morning to get my first 20 users, but the automods instantly nuked my post because of the link. So, I’m giving the promo code I made for them to the Dev.to commun

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ProgrammingDEV Community ·

Building a Multilingual Documentation Pipeline for EU Battery Regulation (2023/1542) Compliance

If you're shipping batteries into the EU, or you work on the tooling that generates compliance documentation for hardware products, Regulation (EU) 2023/1542 just became your problem. It requires technical documentation (declarations of conformity, safety instructions, battery information sheets, carbon footprint declarations, and eventually digital battery passport data) to exist in the official language of every member state where the product is sold. The legal and terminology side of this is covered well in this breakdown of what the regulation requires. This post is about the other half of

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ProgrammingDEV Community ·

What Is HTTP/3? Why Most of the Web Still Isn't Using It

Every major browser decided HTTP/3 was ready years ago. Chrome, Edge, Firefox and Safari have all shipped full support since 2022, and caniuse.com puts global browser support at 94.55% as of October 2026. Yet according to W3Techs, only 40.8% of websites actually served pages over HTTP/3 as of October 2026. That gap, not the protocol itself, is the real HTTP/3 story: browsers have been ready for years, and most servers still are not. Key takeaways Browser support for HTTP/3 sits at 94.55% globally (caniuse.com, October 2026), but only 40.8% of websites actually serve traffic over it (W3Techs, O

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ProgrammingDEV Community ·

Generative AI Security: Are Your Developers Pasting Secrets Into LLMs?

TL;DR 81% jump in AI-service leaks: GitGuardian detected over 1.27 million leaked secrets tied to AI services in 2025, an 81% jump from the previous year, with AI-assisted code leaking secrets at roughly twice the GitHub-wide rate. Hundreds of incidents in weeks: One customer deployed GitGuardian behind their internal AI gateway and surfaced hundreds of secret incidents within weeks, a significant share valid at detection, none of which ever touched a git repository. Four-step scan via Custom Source: The AI gateway forwards each payload to GitGuardian's scan API tagged with a Custom Source UUI

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ProgrammingDEV Community ·

Building a Reusable WebGPU & Rust Engine: Part 1 — Windowing & Pipeline Architecture

Building a modular render engine or simulator template requires a clean separation between CPU-bound application logic and GPU-driven rendering pipelines. In this post, I will track the process of building a lightweight, reusable render template in Rust using wgpu and winit. Nowadays, we can utilize AI to handle implementation details, but as creators, we still need to review and master the architecture from a high level. Understanding the top-level structure helps us learn faster, validate the AI's output, and ensure our systems remain robust and maintainable. 1.

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ProgrammingDEV Community ·

Choosing a Tech Stack for Your MVP: A Practical Guide

Every developer has been there. You have a product idea, a deadline, and a dozen frameworks all promising to be the "best." Analysis paralysis sets in, and weeks vanish into comparison charts. This post cuts through the noise with a simple decision framework for picking a stack for your minimum viable product (MVP). Before you open any documentation, write down your constraints: Team skills: What can your team ship confidently today? Timeline: Do you need something in front of users in six weeks or six months?

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ProgrammingDEV Community ·

I built an offline manga reader inside VS Code and Cursor

During long compile times and debugging runs, I got tired of switching windows just to read a chapter of manga or webtoons. So I put together MangaBar, a lightweight extension for VS Code, Cursor, Windsurf, and VSCodium. It pulls from MangaDex and Keiyoushi/Tachiyomi extensions directly into an editor panel or secondary sidebar. It supports local offline downloads and zoom/pan. The project is 100% TypeScript and open source under MIT: GitHub: https://github.com/j-a-y-e-s-h/mangabar VS Code Marketplace: https://marketplace.visualstudio.com/items?itemName=j-a-y-e-s-h.mangabar Open VSX: https://o

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ProgrammingDEV Community ·

Ajax, modelli “uncensored” e distillazione: cosa sta succedendo (e cosa imparare se fai frontend)

Self-hosting di agenti, fine-tuning con pochi dati, GRPO e “desensibilizzazione”: un caso che tocca toolchain, sicurezza e costi dell’AI in prodotto. Negli ultimi mesi è diventato difficile ignorare una tensione di fondo: da una parte l’AI “as-a-service” (API, abbonamenti, modelli chiusi, policy e filtri), dall’altra la spinta verso modelli locali e workflow self-hosted, dove i vincoli non sono decisi da un provider ma dal team che sviluppa il prodotto. In questo contesto si inserisce Ajax, un modello presentato come “uncensored” e pensato per alimentare Odysseus, un progetto open source molto

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ProgrammingDEV Community ·

Model selection is an architecture decision

Stop Asking “Which LLM Is Best?” – Ask Which Model Fits This Workload Last quarter I was elbow‑deep in a fintech product that had to turn noisy bank statements into clean expense reports. My first instinct was to grab the “biggest” LLM, fire‑off GPT‑4, Claude‑2, Gemini‑1.5 and hope it would magically understand every column, currency and weird abbreviation. After a weekend of latency checks, cost tallies and exploding error logs I realized the “best” model on every public leaderboard still missed our real KPI: cost per successful parsing. The fix was to stop treating LLMs like shiny toys and s

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