OpenAI’s latest coding-focused AI model is being promoted as a major leap forward for software development—faster prototyping, cleaner refactors, and ...

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 ...

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 ...

Bugs show up, eat all your time, and gaslight you into thinking you are the problem. You’re not. You just solved that problem a few commits ago, but now it’s harvest season again. Half the bugs you ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Every survey finding published by Pew Research ...

Microsoft unveiled a suite of AI-powered debugging and profiling tools for .NET developers, integrating GitHub Copilot directly into Visual Studio's diagnostic workflow. The recently announced Copilot ...

One of the most popular platforms for AI-assisted programming says the next era of vibe coding is all about supercharging error detection. The new tool, Bugbot ...

Hidden away in your Android phone's developer settings is a powerful feature called USB debugging. It's a special mode that opens a direct line of communication between your smartphone and a computer, ...

Abstract: This study investigates the error resolution strate-gies employed by novice non-native English-speaking students in programming tasks. A controlled ...

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.

Are you exhausted from drowning in an overwhelming flood of print statements while debugging your Python code? Longing for a superior solution to effortlessly identify and rectify common Python errors ...