AI won’t kill coding — but sidelining junior developers might, leaving the industry faster today and dangerously hollow tomorrow.

In this series, we examine what happens after the proof of concept and how AI becomes part of the software delivery pipeline. As AI transitions from proof of concept to production, teams are ...

When starting IoT development, decide early if you’ll build everything from scratch or use existing platforms. Using platforms can speed things up, but custom builds offer more control. Security is a ...

With countless applications and a combination of approachability and power, Python is one of the most popular programming ...

Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...

For software developers, choosing which technologies and skills to master next has never been more difficult. Experts offer ...

Java ranked third in the Tiobe Index for January 2026 at 8.71%, holding steady behind Python and C and just ahead of C++. li> 1. Tiobe named C# its Programming Language of the Year for 2025 after ...

Maintainers and developers are now using AI to help build Linux. Simultaneously, Rust has graduated to being a co-equal language with C for mainstream Linux development. However, the programming world ...

Abstract: Large Language Models (LLMs) have achieved remarkable progress in code intelligence tasks, significantly en hancing the efficiency of software development. However, several challenges remain ...

Keeping your team ahead of the curve is an ongoing challenge. You’re constantly assessing new technologies, frameworks, and methodologies to make sure your team can build the best possible products.

A new study sheds light on the current limitations and untapped potential of artificial intelligence in software engineering. As generative AI tools become increasingly common in development pipelines ...