Andrés Morales

A botany blog post unknowingly describes a prerequisite graph for self-teaching any subject. Here we adapt that logic to a technical curriculum, with Python and Node.js code to automatically order what to study first.

An article about Mario Kart 8 is the excuse to explain the Pareto frontier, a century-old method that discards objectively worse options without needing predefined weights. The same logic applies to choosing AI models, cloud instances, or frameworks.

A botany blog famous for its self-taught reading list revives the debate over how to learn computer science without a college degree. TeachYourselfCS, the guide that organizes canonical books like SICP and CLRS, remains the reference for thousands of self-taught programmers in 2026.

Zed Industries opened early access to DeltaDB, a version control system that records every operation between commits and links it to the AI agent conversation that originated it. There’s still no public CLI: the only step available is joining the waitlist.

Four Google veterans, Jeff Dean, Sanjay Ghemawat, Quoc Le, and Oriol Vinyals, unveiled Discovery Loop, a lab aiming to automate the entire scientific research cycle with artificial intelligence. The project will start with machine learning before expanding into other disciplines.

In May 2026, a military GPS jamming exercise in New Mexico left a medevac plane without satellite navigation minutes before it crashed into a mountain. It is the first civilian plane crash in the United States directly linked to electronic warfare.

Databricks ran its own benchmark comparing three code harnesses against its multi-million-line codebase, and the simplest one, Pi, ended up performing better and cheaper. Earendil examines why context discipline is starting to matter as much as the chosen model.

The City of Munich began funding the maintenance of libexpat, the C XML library used by Python and Firefox, through a contract of up to six months. Maintainer Sebastian Pipping is prioritizing five known vulnerabilities and adding support for XML 1.0 fifth edition.

A developer published an RGB color space that generates plausible skin tones with just one adjustable parameter. We show you the code and how to test it yourself.