Have an app you've always wanted to build? A humdrum task to automate? AI tools make it easier than ever, but they can be as miraculous as they are error-prone. Here's how to get it right.

Some of Julie York’s high school computer science students are worried about what generative artificial intelligence will mean for future careers in the tech industry. If generative AI can code, then ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I closely examine the relatively new field ...

Developers have a growing array of options for AI-powered low-code and no-code development tools. But using them to their ...

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

The code generated by large language models (LLMs) has improved some over time — with more modern LLMs producing code that has a greater chance of compiling — but at the same time, it's stagnating in ...

Developers using large language models (LLMs) to generate code perceive significant benefits, yet the reality is often less rosy. Programmers who adopted AI for code generation estimate, for example, ...

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 ...

A simple rule of thumb: In general, AI is best reserved for well-defined, repetitive tasks. This includes anything that ...

Create a no-code AI researcher with two research modes and verifiable links, so you get quick answers and deeper findings ...