The right balance lies in using AI where it accelerates safely and relies on skilled engineers to govern where it cannot.

Beware the hidden costs of AI-generated code; human oversight is essential to prevent bugs and maintain software quality.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

This is the most underutilized cheat code: Use AI to accelerate R&D and product development. Tools like Synthesia for video ...

Tech CEOs are making ambitious claims about AI's coding capabilities. In March, Anthropic CEO Dario Amodei said "we'll be there in three to six months — where AI is writing 90% of the code." Meta's ...

To understand where we’re headed, it helps to break the AI landscape into four categories. When ChatGPT launched in late 2022 ...

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 ...

Let's look at the pros and cons of going full AI to help you understand how the value and purpose of software development ...

Microsoft told Windows Latest that the company does not plan to rewrite Windows 11 using AI in Rust after an employee's post ...

Obsessing over model version matters less than workflow.

Microsoft has a whole team dedicated to eliminating "every line of C and C++ from Microsoft by 2030," which includes Windows ...