As companies move to more AI code writing, humans may not have the necessary skills to validate and debug the AI-written code if their skill formation was inhibited by using AI in the first place, ...

Python libraries handle real business tasks like APIs, data analysis, and machine learning at scaleUsing ready-made libraries ...

JIT compiler stack up against PyPy? We ran side-by-side benchmarks to find out, and the answers may surprise you.

According to the study, a randomised trial reported lower debugging and comprehension scores when junior developers leaned on assistants for unfamiliar tasks.

Discover 7 common Django scaling issues and learn practical solutions to optimize performance, handle high traffic, and scale ...

Two malware campaigns weaponize open-source software to target executives and cloud systems, combining social engineering ...

On Friday, OpenAI engineer Michael Bolin published a detailed technical breakdown of how the company’s Codex CLI coding agent ...

AI's coding capabilities prompt students to reevaluate the value of traditional computer science education and future career paths.

By Karyna Naminas, CEO of Label Your Data Choosing the right AI assistant can save you hours of debugging, documentation, and boilerplate coding. But when it comes to Gemini vs […] ...

As some of the world’s largest tech firms look to AI to write code, new research shows that relying too much on AI can impede ...

Copy-pasting into chatbots feels harmless, but it can leak IDs, bank details, health records, work files, and login secrets. Here are the top 8 to avoid.

Your AI strategy isn’t failing — your ops team is just ahead of it, quietly proving that AI sticks when it saves real time on real problems.