Programming

As I experiment more with AI code generation, I've hardened LocalCents with more automated Elixir quality checks than I've ever run. Here's the whole guardrail setup, each linked to how it's wired in the real repo.

Developing CLIs and TUIs in Go is fun, and there are really good packages out there to make it so. And when it comes to terminal apps, there is an amazing library called Bubble Tea to build beautiful

Coding the 1993 Paper 'The Lattice Sieve' To Learn Algebraic Number Theory in C

Mishka Chelekom v0.0.9 makes Phoenix UI AI-native - a built-in MCP server that lets AI agents generate and use components correctly, a headless component layer ported from Base UI with full WAI-ARIA, the new Kit DSL to reuse and restyle any component, comprehensive LLM usage rules, and new dock, shape, and stat components for Phoenix and LiveView.

DurableServer provides durable, distributed GenServer processes backed by object storage.

The Annotated Triple Product Matrix Multiplication Algorithm for Fourier Transform-like Matrix Products in Python

The Mojo programming language

Property Based Testing and fuzzing are a deep and science-intensive topic. There are enough advanced techniques there for a couple of PhDs, a PBT daemon, and a client-server architecture. But I have this weird parlor-trick PBT library, implementable in a couple of hundred lines of code in one sitting.

Tclers wiki

Spotify 1 million tracks dataset

This is part one of a series where I document how I’m making this site more interoperable with IndieWeb tools and standards. I’ll update this notice to link to part 2 once I’ve written it Interoperability is the heart of what makes the digital world work. In my first job I worked with academic libraries to make research more openly available, sharing data about all forms of research outputs across the globe through the use of open data formats. These community-owned standards ensured that thousands of different systems globally could communicate, making each other aware of new findings in a field, and bringing the gobal academic community into closer contact.1

How Knives Out teaches Bayesian thinking (without you realizing it)

Every machine connected to the Internet has an address called an IP address. Originally, these addresses were 32-bit integers (IPv4), giving a theoretical maximum of about four billion distinct addresses. We are all familiar with these addresses (e.g., 192.168.0.0). There was a big fuss about how we would run out of addresses. It never happened … Continue reading Parsing IPv6 Addresses Crazily Fast with AVX-512

A description of HRW/rendezvous hashing and the HRW elixir library.

A best-practice Elixir library for interacting with the bunny.net API

Why you shouldn't use SQL if you care about correctness

Implementation of 9p2000 protocol in Erlang

Pure Erlang implementation of 9p2000 protocol

Two BEAM escape hatches for counting fast—shared, mutable, off-heap integer arrays. How :atomics and :counters work, what they guarantee, and when to reach for each.

Tl;Dr version I personally feel like you should probably either use Kaffy or roll your own admin interface completely from scratch. If you wanna know why, read on. ⚠ This is my very own analysis for my particular needs. Don't take it as being author...

The lone lisp generators implementation journey.

Powering High-Volume Document Processing, Fast, Cost-Efficient, and Open Source.

Pre-compiled tree-sitter parsers for 197 languages with code intelligence, chunking, and polyglot bindings.

Photo by Hitesh Choudhary on Unsplash

Programming book reviews, programming tutorials,programming news, C#, Ruby, Python,C, C++, PHP, Visual Basic, Computer book reviews, computer history, programming history, joomla, theory, spreadsheets and more.

I built a tiny shell in C to learn what fork, execvp, and dup2 are doing under the hood.

A Guide to installing Deno on different operating systems. Includes instructions for Windows, macOS, and Linux using various package managers, manual installation methods, and Docker containers.

This is a follow up to our batch of set-theoretic types optimizations, this time targetting differences