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Code: Megapixel99/lambda-language lm is a small low-level language with four independent backends: C, WebAssembly, ARM64, and bytecode for a VM. Its test suite is built around the fact that there are four of them. Every program runs through all four and the outputs are compared byte for byte against each other and against a recorded expectation, so a backend that gets something subtly wrong disag…

This is a submission for Weekend Challenge: Generosity Edition What I Built Sup Dev.to! I built HypeBESTIE, a free image compliment generator powered by Google Gemini 3.8, and love itself. I did this to spread goodwill in the world. Social platforms run on an artificial scarcity of validation. Algorithms encourage stinginess with praise and casual toxicity, which totally bums me out. So I made so…

Why I built Ahoi When you want to manage data state in Rust/Wasm inside a web app, there have been two main options. Option 1: hand-roll the bridge between Rust and JS. The reactivity does not live on the Rust/Wasm side, so you usually end up reimplementing the state layer on both sides. Option 2: use a Rust frontend framework such as Dioxus, Sycamore, or Leptos. I like these a lot, but there is …

When a prompt describing what you need is submitted, an AI fills in forty lines of clean, working code. You run it. It works. You ship it. At that point, reality is obvious: writing correct code is no longer the hard part. While preparing this article, my assistant wrote "syntax is dead" 😂 But let's be clear — syntax isn't dead. You still need to understand what the code does, debug it when it br…

I built a loan calculator because the ones I was using assumed something wrong about how a borrowing decision happens. I caught that assumption early and designed against it. Then I built extra-payment handling, tested it, and considered it done. It took running the same input through a second market's convention to see that I'd inherited a different assumption from the same tools — and encoded i…

We ship 21 AI-powered tools on FreeToolHub — email and report writers, resume rewriters, background removal, image upscaling, audio transcription, LaTeX OCR, translation, contract analysis. None of them have a backend. No API keys, no upload endpoint, no inference server. The model downloads to your browser and runs there; your text and files never leave the device. That was a product decision (p…

For 23.8 hours, one of our published articles returned 404 to us and 200 to everyone else. The article was fine. Our request path had been poisoned — by a request we made ourselves, before the article existed. Here is the whole failure, including the second defect that made a one-article problem look like a forty-four-article blackout. What we saw Our scheduled job that collects dev.to article st…

Short answer. Create a page, then next to the Share button open More actions → Templates and import → Import , choose Word document (.docx) , and pick your file. No app required. One file becomes one page: headings, tables and images come across, drawn shapes do not. The built-in import, step by step Select Create in the top navigation to open a blank page. Next to Share , open More actions , the…

I've been working on Lumiana because I wanted to write a personal app's UI and logic together, without building a separate API just to connect them. It works with Vite. You connect to the Node server with credentials first, then use Node imports alongside your UI code. JavaScript stays in the browser where possible, while operations that need the operating system run on the server. After connecti…

Vendor demos show how fast AI can write code. The proposal in front of the board should show what happens when that code is wrong. Before approving an AI coding tool rollout, directors need more than a productivity promise. They need evidence of value, clear limits on access, and someone accountable for stopping the rollout if those limits fail. Here are the questions that turn an impressive demo…

Following the path from untrusted content to agent permissions, credentials, and external actions. Hermes Agent is useful because it can do more than answer questions. It can run tools, connect to MCP servers, schedule work, and continue tasks across sessions. That connectivity changes the security question. It is no longer enough to ask whether a prompt is safe or whether a file contains a suspi…

You write a hook. The JSON is valid. The keys are spelled right. No error appears. Nothing happens. The hard part is that nothing points at the mistake. Startup is clean, --debug says nothing, and the hook simply does not run. .claude/ has several states that are syntactically correct and semantically inert. Below are the ones the official documentation explicitly describes as ignored or non-func…

Links to Axiom (if you want to directly access it and dont want to read the post): Website: https://axiom.fwh.is/ -- here are downloads for every single operating system GitHub repo: https://github.com/the1of1matt/axiom -- a star would be greatly appreciated ♥️ You know that moment when you download a GitHub repository because you want to try it? You open the README. npm install Easy enough. Then…

Every screenshot extension workflow I've used shares the same flaw: you take a picture of the viewport, then crop. The capture is never of the thing you wanted — it's of a rectangle that happens to contain it. I spent the last months building Snaptura , a Chrome MV3 extension that captures exact DOM elements and turns them into polished exports. This post walks through the four problems that actu…

Finding "Duplicates Through Time": How I Cleaned Up 300GB of Photos Without Losing Quality Lately, I have been playing around with my personal photo and video library (around 300GB of files, spanning 10+ years of memories). I had a specific type of problem: I needed to save space on my SSD, but I did not want to pay any third-party cloud provider for extra storage. To make things trickier, I was …

Most systems that describe a building store facts . A row says the house has three bedrooms. Another says the roof is five years old. Another says 2,000 square feet. Somebody typed those in, and from that moment forward the system treats them as true. That model breaks the moment more than one party is writing. At ML Systems we run a value chain — Loan Origination → Deconstruction → Construction …

I never intended to build a programming language. It began as an idle thought, a question I could not shake during a quiet evening. I had spent enough time writing software to feel the friction that every developer knows: the constant negotiation between performance and safety, between control and convenience, between trusting the programmer and trusting the runtime. I started wondering what a la…

When building Retrieval-Augmented Generation (RAG) systems for clinical environments, the technical challenge isn't the vector search or the prompt engineering. The real difficulty lies in the audit trail. In my eight years of professional software engineering, the most rigorous systems I have architected are those where every token generated must be traceable back to a specific, authorized medic…

https://byte-x-bit.com/blog/why-i-built-a-real-soc.html Part 0 of a series on building an enterprise-grade Security Operations Center at home — from open-source foundations and custom tooling. Most "home lab" security projects end the same way: you install Security Onion, watch the dashboard light up with alerts for a week, feel like you've built something real, and then never look at it again. T…

This morning I told my own website that I was ClaudeBot. It took one line of curl and a user agent string copied out of Anthropic's own documentation. Three requests to one article page. Then I opened my dashboard: Anthropic, ClaudeBot, training — 1,698 requests had become 1,701, last seen at 09:22. None of them was ClaudeBot. They came from a laptop in Japan, over ordinary home broadband, from a…