I wanted to build an entire production‑ready business application by directing an AI inside a vibe coding environment without writing a single line of code myself.

Anthropic is making its boldest enterprise push yet with Claude Cowork, rolling out private plug-in marketplaces, deep integrations, and AI agent tools that are reshaping corporate adoption and ...

Stan is a probabilistic programming language for statistical inference. The Stan language enables sophisticated statistical modeling using Bayesian inference, allowing for more accurate and ...

Newer languages might soak up all the glory, but these die-hard languages have their place. Here are eight languages developers still use daily, and what they’re good for. The computer revolution has ...

Developers are navigating confusing gaps between expectation and reality. So are the rest of us. Depending who you ask, AI-powered coding is either giving software developers an unprecedented ...

We study machine learning formulations of inductive program synthesis; given input-output examples, we try to synthesize source code that maps inputs to corresponding outputs. Our aims are to develop ...

Probabilistic Programming is a way of defining probabilistic models by overloading the operations in standard programming language to have probabilistic meanings. The goal is to specify probabilistic ...

My little theory is that the concept of “imprinting” in psychology can just as easily be applied to programming: Much as a baby goose decides that the first moving life-form it encounters is its ...

Rollercoaster Tycoon wasn’t the most fashionable computer game out there in 1999. But if you took a look beneath the pixels—the rickety rides, the crowds of hungry, thirsty, barfing people (and the ...

What if you could strip away the layers of abstraction that operating systems impose and interact directly with your computer’s hardware? Imagine crafting a program where every instruction is executed ...

Ising machines demonstrate significant potential to tackle computationally complex challenges, including combinatorial optimization problems related to logistics, manufacturing, finance, and AI. The ...