Learn how to use Bash aliases to shorten commands, reduce errors, speed up tasks, and improve your productivity in the Terminal.

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 ...

Thanks to the IRS MATH Act, the IRS must now explain mistakes in plain English, show any adjustments, and put your 60-day appeal deadline front and center. It will be a major upgrade from previously ...

Researchers from MIT, Northeastern University, and Meta recently released a paper suggesting that large language models (LLMs) similar to those that power ChatGPT may sometimes prioritize sentence ...

Design: Eamonn Dalton / The Athletic; Photo: Marc Atkins/Getty Images Welcome to the 13th edition of The Alternative Premier League Table, where each Thursday, Anantaajith Raghuraman analyses the ...

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 ...

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 ...

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.

Abstract: Proficiency in written English is crucial for academic and professional achievement. However, the competency of non-native speakers is an issue in syntax and semantics thus the coherency of ...

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 ...

Encountering coding errors in artificial intelligence (AI) projects can feel overwhelming, but a structured approach can transform the troubleshooting process into a manageable and efficient task.