Reimaging professional and educational practices for an AI-augmented future.
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 ...
The software development landscape is experiencing a seismic shift. Recent research I conducted reveals that artificial intelligence (AI) systems can now systematically identify and resolve complex ...
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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.
Creating a self-healing code agent is a fantastic approach to enhancing the quality and reliability of code generated by language model (LM)-based agents. Have you ever been frustrated by buggy, ...
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 ...
In the digital transformation era, big data has revolutionized how organizations collect, store, and analyze information. However, with the immense volume of data comes the risk of errors, which can ...