🛠️ All DevTools

A collection of DESIGN.md files analysis by popular brand design systems. Drop one into your project and let coding agents generate a matching UI.

Source code for Unturned, a free open-world zombie survival sandbox game.

Show HN: Wyrm – Solve algebra by touch, built on an open-source soundness engine There is a mobile game called DragonBox. It sort of tricks you into learning algebra by starting with very abstract manipulations of a puzzle that must follow rules... gradually the game teaches you more and more rules and also strips out the more abstract elements until on the last levels you are finally solving real equations. I loved it, it taught my kids algebra.... and it was just fun.<p>Over the years I often thought that there should be a calculator for Algebra that works this way... something where you can drag terms around and cancel &amp; distribute with gestures, but most importantly enter your own problems. It should also do more kinds of problems than DragonBox allowed. So I finally decided to build it.<p><a href="https:&#x2F;&#x2F;dicroce.github.io&#x2F;wyrm&#x2F;home.html" rel="nofollow">https:&#x2F;&#x2F;dicroce.github.io&#x2F;wyrm&#x2F;home.html</a><p>Here&#x27;s a video showing it: <a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=_STbS4zvIlU" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=_STbS4zvIlU</a>. If you&#x27;d rather just play with it: there&#x27;s a limited in-browser demo (real engine, a few example equations, no download) on the landing page — <a href="https:&#x2F;&#x2F;dicroce.github.io&#x2F;wyrm&#x2F;home.html" rel="nofollow">https:&#x2F;&#x2F;dicroce.github.io&#x2F;wyrm&#x2F;home.html</a>.<p>The app can be found on iOS (<a href="https:&#x2F;&#x2F;apps.apple.com&#x2F;us&#x2F;app&#x2F;wyrm-math&#x2F;id6782342042">https:&#x2F;&#x2F;apps.apple.com&#x2F;us&#x2F;app&#x2F;wyrm-math&#x2F;id6782342042</a>) and as of this week on Google Play (<a href="https:&#x2F;&#x2F;play.google.com&#x2F;store&#x2F;apps&#x2F;details?id=com.dicroce.wyrm">https:&#x2F;&#x2F;play.google.com&#x2F;store&#x2F;apps&#x2F;details?id=com.dicroce.wy...</a>).<p>I also decided to open source the underlying math engine so others could build on it: <a href="https:&#x2F;&#x2F;github.com&#x2F;dicroce&#x2F;wyrm_math" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;dicroce&#x2F;wyrm_math</a>. My goal for the engine btw is to build it all the way up to Calculus.<p>Monetization is deliberately boring: the engine is free (MIT), and the polished gesture app is $4.99 once. No subscriptions, ads, accounts, or analytics.<p>I&#x27;d love feedback on the engine design — especially from anyone who&#x27;s worked on CAS or proof-assistant-adjacent problems. And if you played DragonBox as a kid and wished it went further: this is for you!

Bonnie Tyler, singer of Total Eclipse of the Heart, dies aged 75

Why developers are ditching GitHub for Codeberg and self-hosting alternatives

Show HN: Getting GLM 5.2 running on my slow computer A few days ago I found myself trying out GLM 5.2 and was really positively impressed. The capabilities and security I was getting from this LLM are similar to those I&#x27;ve gotten from models like Claude or GPT, and this really surprised me.<p>But then I thought, &quot;I wonder how it would work on a normal computer like mine,&quot; and above all, &quot;I wonder if it would work without going into OOM on a computer like mine.&quot; So I started working with the help of agents to test this possibility.<p>I started converting the model to int4, understanding MTP usage, and if possible implementing DSA for long context. How it responds in int4 and whether the quality is maintained or not. Until I got to the point, on my computer with 32GB of RAM, I was able to communicate with GLM 5.2 with times that, of course, aren&#x27;t high in cold start, but even then, we&#x27;re talking about 0.1 tok&#x2F;s, but that wasn&#x27;t important to me. The important thing was the journey to reach this goal. I just wanted it to work at all costs, even slowly.<p>So I created Colibrì, which was born from a very simple idea, to be honest, but tested in every way, where a 744B Mixture-of-Experts model activates only ~40B parameters per token—and only ~11 GB of those change from token to token (the routed experts). So:<p>The dense part (attention, shared experts, embeddings—~17B params) stays resident in RAM at int4 (~9.9 GB); The 21,504 routed experts (75 MoE layers × 256 experts + the MTP head, ~19 MB each at int4) live on disk (~370 GB) and are streamed on demand, with a per-layer LRU cache, an optional pinned hot-store, and the OS page cache as a free L2.<p>The engine is a single C file (c&#x2F;glm.c, ~1,300 lines) plus small headers. No BLAS, no Python at runtime, no GPU.No GPU or serious hardware because I don&#x27;t have that hardware so I can&#x27;t test it on hardware that is more powerful than my computer.Colibrì is a one-person project, written and tested entirely on a 12-core laptop with 25 GB of RAM — the numbers above are the ceiling of what I can measure at home.<p>Any feedback is welcome! (and if anyone wanted to participate in the project I would be delighted)<p>Repo: <a href="https:&#x2F;&#x2F;github.com&#x2F;JustVugg&#x2F;colibri" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;JustVugg&#x2F;colibri</a>

Cursed circuits #6: reverse avalanche oscillator

Spider venom kills varroa mites without harming honeybees

What's slowing down the AI buildout

Show HN: I mapped 8.5M research papers into an interactive atlas When I read papers, I have to jump between multiple tabs to find the dataset, code, videos, peer reviews, and so on. I tried to fix this with this project.<p>It started as a project just for papers on arXiv, but after its initial success on Twitter (got like 1.9k views: the most I have gotten for a post), I have now expanded it to include other openly available papers from PubMed Central, bioRxiv, medRxiv, and eLife. These papers have been linked with their genes, proteins, diseases, drugs, clinical trials, 3D protein structures, code, and cited and similar papers.<p>This project now has four parts:<p>First, a map. I embedded nearly 8.5M papers (with SPECTER2), ran UMAP for 2D representation, and rendered them as a scatterplot. The dots can be clicked to see brief information about the papers, like an LLM TLDR, key findings, peer reviews, linked entities, and more. The clusters are also labeled, though you might have to zoom in.<p>Second, I built a detailed paper page for each paper. They give you the paper&#x27;s full text, images, videos, peer reviews (from OpenReview), GitHub links, Hugging Face dataset&#x2F;model links, clinical trials, genes, diseases, 3D protein structures, cited papers, and similar papers. You can also copy the whole page, including the full paper text and image URLs, as markdown for your LLM.<p>Third, I have released an extension so you can read all this information in your sidebar by clicking &quot;open in Tomesphere&quot; that shows up in arXiv, PMC, bioRxiv, Google Scholar, or medRxiv. I have tried to provide as much information as possible in the extension, though for things like viewing all the images or a 3D protein structure, you might still have to go to the paper page using the link provided in the extension.<p>Fourth, all this data is available for your LLM via MCP. The MCP does have a 50-query free limit (this jumps 10x with signup).<p>Note: this project is still in beta, so papers might have some mismatched information. I am rolling out feedback forms soon to improve the data quality. Thank you so much for taking the time to read this.

Show HN: Cyrinx (36kbps Acoustic Transport) Working with Fable 5, a MacBook, and a Pixel phone, I built an acoustic transport library that is several orders of magnitude faster than existing SoTA open source options like ggwave, quiet, minimodem, or Chirp.<p>Paper: <a href="https:&#x2F;&#x2F;cyrinx.org&#x2F;cyrinx-acoustic-link.pdf" rel="nofollow">https:&#x2F;&#x2F;cyrinx.org&#x2F;cyrinx-acoustic-link.pdf</a><p>Apache 2.0 source: <a href="https:&#x2F;&#x2F;github.com&#x2F;dweekly&#x2F;cyrinx" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;dweekly&#x2F;cyrinx</a>

MIRA: Multiplayer Interactive World Models Trained on Rocket League <a href="https:&#x2F;&#x2F;mira-wm.com&#x2F;blog-post&#x2F;" rel="nofollow">https:&#x2F;&#x2F;mira-wm.com&#x2F;blog-post&#x2F;</a>

We made Grok 4.5, GPT-5.5, and Claude build the same apps

The family of a man shot by the Tennessee National Guard demands video release

Show HN: I ran 70 MCP servers in a sandbox and logged what they do

Creatine doesn't just build muscle. It may also help fight cancer

Benchmarking coding agents on Databricks' multi-million line codebase

Separating signal from noise in coding evaluations

Most slopcode projects are abandoned and deleted within months of release

Agentic test processes, LLM benchmarks, and other notes on agentic coding fr