Depending who you ask, AI-powered coding is either giving software developers an unprecedented productivity boost or churning ...

Obsessing over model version matters less than workflow.

We may earn a commission from links on this page. Deal pricing and availability subject to change after time of publication. Black Friday sales officially start Friday, November 28, and run through ...

The objectives of the eventare to provide basic awareness of information and computer security for nuclearsecurity professionals, as well as basic concepts of computer securityincluding threats, risk ...

What if the humble cursor, a tool we’ve relied on for decades, was no longer essential? Imagine an Integrated Development Environment (IDE) so advanced it could anticipate your needs, execute tasks ...

2025 has seen a significant shift in the use of AI in software engineering— a loose, vibes-based approach has given way to a systematic approach to managing how AI systems process context. Provided ...

This project attempts to formalize the process of using LLMs as template generators in a reliable, reproducible, and reviewable way. GraphMD proves you don't need AGI for effective AI assistance. You ...

AI-based coding tools won't be able to compete with the LLM giants. Observability is one possible way to differentiate the tools. Some startups will get acquired, others will go out of business.

With the arrival of Claude Code on the Web, a cloud-based AI coding platform from Anthropic, the software development landscape is buzzing with questions. Imagine a world where you no longer need a ...

Abstract: Due to the complexity of production scheduling and increasing demand, various methods, including solvers, are widely applied to the job shop scheduling problem. Among these, using machine ...

Coding is no longer just about writing. It’s about orchestrating. Why Vibe Coding, And Why Now? In early 2025, AI researcher Andrej Karpathy introduced the term vibe coding to describe something many ...

OpenAI and Google DeepMind demonstrated that their foundation models could outperform human coders — and win — showing that large language models (LLMs) can solve complex, previously unsolved ...