Opinion: The rapid shift in the role of humans from writing code to managing AI tools is upending traditional copyright ...

Survey data shows 43% of AI-generated code fails in production, forcing developers to spend more time debugging and deepening ...

New coding tools are boosting productivity at unprecedented levels, but the flood of software is creating new risks, backlogs ...

Writing code was a killer app for AI even before anyone was really talking about AI. In the spring of 2021, 18 months before ...

What Cherny is describing, in engineering terms, is the operating principle behind test-driven development (TDD). TDD has ...

Lightrun, the leader in software reliability, today released its State of AI-Powered Engineering Report 2026, based on an independent poll of 200 SREs and DevOps leaders (Directors, VPs, and C-levels ...

The Linux kernel community has formally clarified that it will allow contributors to use AI coding tools, provided a human ...

Apps and platforms allow novice and veteran coders to generate more code more easily, presenting significant quality and ...

AI-driven coding promised speed, but its code often fractures under pressure, leaving teams to carry the weight of failures that slow products and raise real costs. Buoyed by the rise of AI, many ...

Nearly half of the code that AI assistants write for software teams breaks once it hits real users. That is the central ...