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 ...

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 ...

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 ...

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 ...

Remote work is no longer novel, but Gen Z is redefining it. For this generation, working from anywhere is not about vacation selfies or digital detoxes. It’s a lifestyle built on autonomy and ...

JavaScript tools and frameworks thrive and evolve in an ecosystem that is equal parts competitive and collaborative. This month, we showcase some of the best examples of technology innovation in ...

As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, mastering asynchronous and parallel programming has become essential for every serious ...