🛠️ All DevTools

[Other] WATaBoy: JIT-Ing Game Boy Instructions to WASM Beats a Native Interpreter

[Other] A field guide to the modern front end for developers who hand-wrote HTML

[Other] 🧑‍🚀 Authentication and authorization infrastructure for SaaS and AI apps, built on OIDC and OAuth 2.1 with multi-tenancy, SSO, and RBAC.

[Other] Lore – Give your coding agent the decisions your team made

[CLI Tool] Herdr: Agent multiplexer that lives in your terminal

[CLI Tool] Show HN: Bash4LLM+ – A lightweight, dependency-free Bash wrapper for LLM APIs Bash4LLM is a single-file Bash wrapper for interacting with LLMs from the terminal. I created it because I wanted something simple that worked without installing Python, Node, or any other runtime.<p>It uses only Bash, curl, and jq. You can send prompts, start a small chat, process files line by line, stream output, and save session metadata in JSON format.<p>I tried to make it safe and predictable: no use of the system &#x2F;tmp, no use of eval. Groq is supported by default, and other providers can be added with dedicated Bash scripts in the extras&#x2F;providers&#x2F; folder.<p>Example:<p><pre><code> echo &quot;explains the command: ls -l&quot; | .&#x2F;bash4llm</code></pre>

[Other] Show HN: NanoEuler – GPT-2 scale model in pure C/CUDA from scratch Hi everyone,<p>I started working on nanoeuler after the ban of anthropic&#x27;s fable because my ambition and dream is to work in the AI field in anthropic. The two interesting reasons that led me to create nanoeuler were (1) interfacing with llm does not mean understanding how they are composed and (2), working on llm with a very low-level layer to understand the correlation between parameters and data and growth of the model and how the GPU works and how some layers can be optimized.<p>So I started working on it with a research aspect by making nanoeuler grow more and more but doing one step after another starting from Shakespeare.txt and understanding what a text generation model understands at 23 million parameters. For example, nanoeuler at that number had understood that Name: started a line and wrote that line with sense.<p>I wrote everything in CUDA because I wanted to not use any intermediary between the model in training and inference and what it had to do. Then the use of SFT and much more, even if in small ways, were really useful to understand the various step to make an llm like a chatbot.Any feedback, help, or suggestions are absolutely welcome!

[Other] Ornith-1.0: Self-Scaffolding LLMs for Agentic Coding

[Other] A way to exclude sensitive files issue still open for OpenAI Codex

[Other] Edit videos with coding agents

[Other] NumPy & SciPy for GPU

[Other] Bashblog – a single bash script to create blogs

[Other] Show HN: Decomp Academy – Learn to decompile GameCube games into matching C Over the past few months I&#x27;ve been heavily involved in the decompilation community. I&#x27;ve been hands-on decompiling a beloved game from my childhood (Star Fox Adventures). I started this journey with zero prior decomp experience—and to make things worse I had never really touched C nor assembly either.<p>Learning how to decompile was challenging. It&#x27;s difficult to find any good learning resources for it and any open-source projects for this are inactive and&#x2F;or contain little actual learning material.<p>So I put together Decomp Academy! Decomp Academy is an interactive way to learn how to decompile PowerPC assembly back into C. The site runs a live Metrowerks CodeWarrior GC&#x2F;2.0 compiler, converts your C into assembly, and then checks how close your assembly matches the target. If even 1 instruction or bit is off, that&#x27;s a fail. This is the gold standard for video game decompilation and this is much stricter than a normal decompile.<p>As of writing there are 250+ lessons on the site and the lessons start at the very basics so anyone with a little programming experience should be able to jump straight in, even if you&#x27;re not a C expert. Some lessons also have real functions taken from live open source decomp projects (Star Fox Adventures, Mario Party 4, Pikmin, Metroid Prime). The idea being you learn everything you need to know to be able to jump in and contribute to a real decompilation project when done.<p>The site is completely free, open source and you have access to all lessons without having to sign up. All lessons are stored in markdown in the repo (src&#x2F;curriculum), it&#x27;s trivial to add or modify lessons. The site is very new and the lessons are rapidly changing every day with a whole C++ section on the way. The site has already been well received by the decomp community and I&#x27;m happy to share it with HN. I&#x27;m very keen on others to contribute to this project and I hope this becomes the best resource on the internet for learning the art of decompilation. Please let me know what you think!<p>Source: <a href="https:&#x2F;&#x2F;github.com&#x2F;JackPriceBurns&#x2F;decomp-academy-fe" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;JackPriceBurns&#x2F;decomp-academy-fe</a>

[Other] AMD Strix Halo RDMA Cluster Setup Guide

[Other] Codeberg Is Down

[Other] Show HN: KV-psi, using Linux PSI to to trim an LLM KV cache I thought it&#x27;d be interesting to use Linux PSI (Pressure Stall Information) for an LLM runtime to trim the KV cache. This is mainly useful imo for edge devices like the Jetson Orin super nano kit which have unified memory. I haven&#x27;t benched much, but plan to do so more over time and see if I can make a real use of it as I run local LLMs. Let me know if it makes sense :P (I of course vibed this idea)

[Other] Enhancing X11 Application Security with LXC

[Other] Show HN: Adrafinil – keep a lid-closed Mac awake only while agents work A month ago there was a wave of posts and tweets about engineers walking around cafes and parks with their MacBooks propped half-open, as fully closing the lid forces sleep that stops their AI agents. Some people made snarky comments about using tmux or Amphetamine, and some defended their choice with “but I only need it sometimes, and forgetting to disable Amphetamine and finding my laptop discharged in my bag is worse.”<p>This is a solution to this problem. Unlike caffeinate, it will prevent your MacBook from sleeping even with the lid closed, with no external power or display, using pmset disablesleep 1. Unlike other sleep-preventing apps, Adrafinil only activates when there’s an agent actively doing something. It detects agent activity through hooks it installs into Claude Code, Codex, and others. To reassure you it’s working, the app shows the active status in the menu bar, and it plays a chime when you close the lid.<p>Once the agent is done, Adrafinil detects it and lets the laptop go to sleep by setting pmset disablesleep back to 0. It will also let it sleep in case of overheating. And if you want to manually toggle it, you can install an optional MCP and tell your agent to keep the MacBook awake for a specific time.<p>It has four binaries, one of which is a root helper exposing a single setSleepBlocked call. All the logic and policy live in the unprivileged parts. They’re all notarized, and the app is fully open source (MIT).

[Other] Anonymous GitHub account mass-dropping undisclosed 0-days

[Other] Spec-driven development (SDD) for AI coding assistants.