Any task that tests your mental muscles is a step in the right direction when improving your problem-solving skills. While ...

This gives me a unique vantage point from which to evaluate coding assistants’ performance. Until recently, the most common ...

Large language models (LLMs), such as Codex, hold great promise in enhancing programming education by automatically generating feedback for students. We investigate using LLMs to generate feedback for ...

Using Shad CN and an open source helper, the model produced pages and components, helping you decide when to trust it for UI work.

Abstract: Large language models (LLMs) have become powerful tools for automated code generation. Yet, they remain prone to both syntax and logic errors that limit their effectiveness in real-world ...

In this text we’ll talk about syntax and semantics, so it’s important that we understand what these terms mean, particularly in the context of computer programming. In a (natural) language course—say ...

Lovable, which is a Vibe coding tool, says Claude 4 has reduced its errors by 25% and made it faster by 40%. On May 22, Anthropic started rolling out two new models: Claude Sonnet 4 and Claude Opus 4.

There are few areas where AI has seen more robust deployment than the field of software development. From “vibe” coding to GitHub Copilot to startups building quick-and-dirty applications with support ...

AI models from OpenAI, Anthropic, and other top AI labs are increasingly being used to assist with programming tasks. Google CEO Sundar Pichai said in October that 25% of new code at the company is ...

The sources of software engineering errors can differ between traditional programming and the development of machine learning (ML) algorithms. This article begins with a dive into traditional ...