Overview: TypeScript is widely used in large projects because its typing works better with AI coding assistants and reduces bugs.JavaScript remains best for sma ...

Software developers have spent the past two years watching AI coding tools evolve from advanced autocomplete into something ...

Abstract: Existing works on multi-agent time-varying optimization allow agents to asynchronously communicate and/or compute, but do not allow asynchronous sampling of objectives. Sampling can be ...

Programming efficient asynchronous systems is challenging because it can often be hard to express the design declaratively, or to defend against interleaving-dependent bugs such as data races and ...

Why it matters: JavaScript was officially unveiled in 1995 and now powers the overwhelming majority of the modern web, as well as countless server and desktop projects. The language is one of the core ...

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 ...

In many AI applications today, performance is a big deal. You may have noticed that while working with Large Language Models (LLMs), a lot of time is spent waiting—waiting for an API response, waiting ...

A native, synchronous PostgreSQL client. The test suite requires postgres to be running in the correct configuration. The easiest way to do this is with docker ...

Google on Wednesday launched its AI coding agent, Jules, out of beta, just over two months after its public preview debut in May. Powered by Gemini 2.5 Pro, Jules is an asynchronous, agent-based ...

What if you could build a conversational AI agent that not only answers complex questions but also integrates seamlessly with external tools, streams real-time responses, and delivers structured ...