After building an AI prototype in six hours, John Winsor turned it into a full platform in two weeks—showing how AI is collapsing the gap between vision and execution.

The runtime offers new features for Python: an experimental async API and access to many native Python libraries like NumPy.

WebAssembly runtime introduces experimental async API and support for dynamic linking in WASIX, enabling much broader support ...

According to the study, a randomised trial reported lower debugging and comprehension scores when junior developers leaned on assistants for unfamiliar tasks.

Overview: Programmers prefer Python in AI, data science, and machine learning projects, while JavaScript is useful in web and full-stack development.GitHub and ...

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 ...

Writing this post dives me into the flow, because it shows how fascinating programming can be. There is no magic, only thoughtfully crafted code. If anything is the most important piece of this post, ...

Abstract: This paper tackles the challenge of resource allocation in large-scale datacenter networks (DCNs) using integer programming. The complexity of integer resource allocation problems (IRAP) ...

The Python Software Foundation has rejected a $1.5 million government grant because of anti-DEI requirements imposed by the Trump administration, the nonprofit said in a blog post yesterday. The grant ...