Developers don't trust AI to code autonomously. Learn why structured prompts work while "vibe coding" creates exponential technical debt.

Apple is expanding Xcode's role from code editor to active collaborator, adding built-in agentic coding tools that can plan, execute, and iterate on development tasks alongside developers.

Moore Threads is betting on AI coding software to complement its flagship GPU, as the battle for developer tools intensifies.

AI coding assistants are rapidly becoming standard in software teams, promising faster delivery and fewer tedious tasks. Yet new internal research from Anthropic suggests that the same tools that boost output can quietly hollow out the very skills developers rely on.

A review of five non-Copilot AI coding assistants available in the Visual Studio Marketplace that support Visual Studio 2026 and exceed 100,000 installs.

On Friday, OpenAI engineer Michael Bolin published a detailed technical breakdown of how the company’s Codex CLI coding agent works internally, offering developers insight into AI coding tools that can write code,

The new feature, launched with the beta version of Xcode 26.3, enables AI to actively build, test and fix applications inside the

AI coding assistants can feel like a superpower, turning vague ideas into working snippets in seconds and letting even beginners ship features that once required a full team. But the same tools that accelerate output can quietly hollow out the skills that make someone a real developer: understanding systems,

Software developers have spent the past two years watching AI coding tools evolve from advanced autocomplete into something that can, in some cases, build entire applications from a text prompt. Tools like Anthropic’s Claude Code and OpenAI’s Codex can now work on software projects for hours at a time,