The goal is to make enterprise-grade code quality solutions accessible to fast-growing startups looking to scale responsibly.

Data science needs room to experiment, but enterprise environments want everything production-ready from day one. This tension creates a massive roadblock to innovation. The Time-To-Market Challenge ...

Kajal Schiller designed a computer simulation game to measure whether socioeconomic status might determine how likely people ...

Learn how pairing Claude Code AI with proven practices like TDD and XP can transform your approach to coding. Transform ...

Vibe coding tools enable designers, educators, entrepreneurs, and domain experts to participate directly in software creation ...

SafeWalk, by Master of Information and Data Science students Helen Hu, Ke Zhang, Kris Junghee Lee, and Ula Zhu, aims to help ...

What if scientific research were as easy to Google as dinner recipes? That’s the question I found myself asking after ...

A German data center firm has announced the release of a new prefabricated timber data center module. Prior1 this week announced the launch of IT Container Eco Fix. The 6.5 × 3.0 × 3.4 m module comes ...

I keep coming back to something I’ve said often to clients and colleagues: Writing code isn’t hard anymore. Writing code that scales? That’s still the hard part.

The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...