Context profiler for LLMs and AI agents - used to introspect context contents and reduce token costs - RimantasZ/contextspy Read more ›
> A Rust CLI that augments the Node you already have — TypeScript that just runs, a faster script runner, and a fast bin runner. It augments Node.js instead of trying to replace it. Nub is an all-in-one toolkit powered by Node.js that **modernizes** the developer experience of the Node.js ecosystem. Use it instead of `node`, `npm run`, and `npx` (or the equivalents in your preferred package manager). ```console $ npm install -g --ignore-scripts=false @nubjs/nub $ nub index.ts ... Read more ›
CS 6120 is a PhD-level Cornell CS course by Adrian Sampson on programming language implementation. It covers universal compilers topics like intermediate representations, data flow, and “classic” optimizations as well as more research-flavored topics such as parallelization, just-in-time compilation, and garbage collection. The work consists of reading papers and open-source hacking tasks, which use LLVM and an educational IR invented just for this class. Read more ›
--- Murmer is a distributed actor framework for Rust, built on tokio and QUIC\. It provides typed, location-transparent actors that communicate through message passing\. Whether an actor lives in the same process or on a remote node across the network, you interact with it through the same `Endpoint` API\. **Why I built this** I’ve spent years working with Elixir and the BEAM VM, and the actor model there is something I’ve grown deeply fond of — the simplicity of processes, message pass... Read more ›
microsoft/typescript commit history visualized — 623 contributors, 279,437 lines of code, 2014–2021. Watch the codebase and team evolve. Read more ›
How I built a live solar panel and battery simulation in Home Assistant using real lux and power sensors, to answer whether balcony solar is worth it before spending the money. Read more ›
Using AI without care or precision almost guarantees you become an AI slop cannon. Here's how to be sure you're using it to create real value Read more ›
Back up your dev environment — language runtimes & global CLI tools — and restore it on a new machine. Backups live in your own GitHub repo. No server, no database, no secrets. - sailingsam/Pi... Read more ›
One API call turns any web page into LLM-ready Markdown. Built for AI agents, RAG pipelines and scrapers. Fetch, render JavaScript, strip the clutter. Free to start, plans from $29/mo. Read more ›
The slab memory allocation changes for Linux 7.2 have been merged and continue to see more work around shaves and performance optimizations... Read more ›
From pretraining to RLHF/GRPO — every algorithm hand-written in pure PyTorch. Read more ›
Software engineering isn't what it used to be, and it's not going back. Read more ›
I know the obvious answer is the backbone of the entire internet runs on it, but it being obfuscated to 3 languages and 1 of them being built in 10 days feels like a 30 year disaster, growing until it explodes. Thoughts? Read more ›
Memory management is one of those topics that every C++ developer has to deal with, yet very few of us take the time to study it systematically. Memory Management in C++ by Patrice Roy is a book that finally gives this fundamental topic the deep and up-to-date treatment it deserves. It covers everything from the basics of how objects live in memory to modern techniques introduced as recently as C++26. What impressed me right away is how current the book is. It discusses erroneous behaviour, w... Read more ›
There's a lot of talk about the shortcomings of LLMs. They don't actually reason. They're expensive, especially when running in a loop. They're quite slow at doing things. There's a narrow category of use cases that LLMs excel at, one of which is "sifting through the noise". The noise is everything we have to process Read more ›
For context, this is based on a recent freelance contract in a Django/React TS/React Native codebase size: 20-person team. I have 17 years' experience with w... Read more ›
Why daily AI use matters less for raw speed and more for reducing context thrash, preserving mental energy, and making deep technical work sustainable. Read more ›
We’re on a journey to advance and democratize artificial intelligence through open source and open science. Read more ›