Software engineering (SWE) encompasses a wide range of activities including requirements analysis, design, code development, testing, deployment, and maintenance. These tasks constitute a significant ...

Linking AI models to formal verification methods can correct LLM shortcomings such as false assertions. Amazon's Byron Cook explains the promise of automated reasoning.

Researchers at the University of Pennsylvania and the Allen Institute for Artificial Intelligence have developed a groundbreaking tool that allows open-source AI systems to match or surpass the visual ...

Overview  Python remains the most popular and versatile language for AI development.Julia and Rust are gaining ground for ...

Discover the best kids coding languages by age, with comparisons, tools, and tips to help children thrive in tech.

Anysphere launches Bugbot, an AI code review tool for GitHub, to combat the risks of 'vibe coding' and ensure quality in an ...

GitHub Spark, leveraging Anthropic's Claude Sonnet 4, enables application development from natural language descriptions, ...

Benchmarks drive many areas of research forward, and this is indeed the case for two areas of research that I engage with: software engineering and machine learning. With increasing emphasis on AI ...

This was far from my first time learning a new programming language, but using NotebookLM was probably the most engaging way ...

Developers can define custom tools and let Qwen3-Coder dynamically invoke them during conversation or code generation tasks.

Now in public beta, developers can use Opal to build and remix AI mini apps using conversational natural language commands, a ...

Choosing the correct programming language is a critical decision that can significantly impact the success of any software project, especially in a rapidly evol ...