TestSprite 2.1 embeds agentic testing into every pull request, catching what AI coding tools miss before bad code ships to ...

Studies find AI helps developers release more software—while logging longer hours and fixing problems after the code goes ...

The development process improves because it is informed by real outcomes. AI learns from what happened, and the team adjusts its inputs. This creates a flywheel effect, with each phase building on the ...

A repository platform built around AI models could reshape developer workflows and reduce OpenAI’s reliance on Microsoft’s ecosystem.

Jyoti Shah is a Director of Applications Development, a GenAI tech leader, mentor, innovation advocate and Women In Tech advisor at ADP. When I first started leading enterprise software projects, the ...

Developers have a growing array of options for AI-powered low-code and no-code development tools. But using them to their full advantage requires adopting best practices. As agentic AI takes hold ...

Spec-Driven Development sets written specs before AI coding; a 4-step flow links requirements, design docs, tests, and QA.

The agentic engineering intern. While AI is boosting software development, examples of frontier coding agents exhibiting ...

AI hype has triggered millions of people and many corporations to dabble in AI with some launching full-blown applications.

AI tools like Claude are becoming embedded in engineers' day-to-day work, which means outages can send them back to an ...