Say goodbye to source maps and compilation delays. By treating types as whitespace, modern runtimes are unlocking a “no-build” TypeScript that keeps stack traces accurate and workflows clean.

Abstract: Code summarization is designed to generate descriptive natural language for code snippets, facilitating understanding and increasing productivity for developers. Previous research often ...

Tools for translating natural language into code promise natural, open-ended interaction with databases, web APIs, and other software systems. However, this promise is complicated by the diversity and ...

Marking its 30th anniversary on Thursday, the world’s most popular programming language faces a bitter ongoing custody battle rather than a celebration. Creators and community leaders are stepping up ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min Code Metal has attracted major ...

DURANT, Okla. (KXII) - During Native American Heritage Month and Veterans Day, the Choctaw Nation is remembering the legacy of the code talkers who used their native language to help Allied forces ...

The Inca Empire managed vast territories without a written alphabet, relying instead on a mysterious system of knotted strings known as the khipu. Once dismissed as simple accounting tools, new ...

JavaScript’s low bar to entry has resulted in one of the richest programming language ecosystems in the world. This month’s report celebrates the bounty, while also highlighting a recent example of ...

Anthropic’s Claude Code Arms Developers With Always-On AI Security Reviews Your email has been sent Claude Code just got sharper. Anthropic has rolled out an always-on AI security review system that ...

The Model Context Protocol (MCP) is a cutting-edge framework designed to standardize interactions between AI models and client applications. This open-source curriculum offers a structured learning ...

Abstract: The integration of visual and textual data in Vision-Language Pre-training (VLP) models is crucial for enhancing vision-language understanding. However, the adversarial robustness of these ...