AI programming tools may actually slow developers down, especially in complex software. Yet devs themselves convinced they're working better.

The authors also flag a recurring issue: while AI models can often generate syntactically correct code snippets, they frequently lack a semantic understanding of the overall software architecture.

Key Takeaways Free apps like SoloLearn, Mimo, and freeCodeCamp make programming easy and accessible in 2025.Khan Academy and ...

Rules-based policies and processes offer opportunities for enterprises to begin successful AI automation journeys.

Website development is a crucial step for any small business looking to establish an online presence, and you need to get it right. After all, according to a study published in the Journal of Medicine ...

Rust has become a preferred language for performance-critical infrastructure, with adoption by organizations like Amazon.com ...

GitLab Duo Agent Platform is a devsecops orchestration platform designed to enable asynchronous collaboration between ...

The latest JavaScript specification standardizes a well-balanced and thoughtful set of features, including the built-in ...

Just three of those 10 modernization projects have been completed, per the GAO, which revealed lackluster planning for most ...

At AWS Summit, Deepak Singh, VP of developer agents and experiences at AWS, spoke with ZDNET about how agentic AI will bring ...

Imagine a future where artificial intelligence quietly shoulders the drudgery of software development: refactoring tangled ...

It turns out that Homebrew has supported Linux for quite a while now under the name "Linuxbrew", but then got folded into the ...