AI-based coding has exploded in popularity on the promise that it will make developers’ jobs faster and easier. But AI coding has also resulted in something else: a vast increase in lines of code, and ...

To many people, coding is about precision. It’s about telling a computer what to do and having the computer perform those actions exactly, precisely, and repeatedly. With the rise of AI tools like ...

There are few areas where AI has seen more robust deployment than the field of software development. From “vibe” coding to GitHub Copilot to startups building quick-and-dirty applications with support ...

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 ...

Software engineers being replaced by AI isn’t just a threat on the horizon — early indications are now visible in hard data.

In context: Some industry experts boldly claim that generative AI will soon replace human software developers. With tools like GitHub Copilot and AI-driven "vibe" coding startups, it may seem that AI ...

Developers are increasingly turning to large language models (LLMs) to crank out code at astonishing volumes. As much as 41% of all code is now written by machines, totaling 256 billion lines in 2024 ...

Discover the leading AI code review tools reshaping DevOps practices in 2026, enhancing code quality, security, and team productivity with automated solutions.

Vibe coding works best in tiny steps, not big specs. Persistent AI documentation eliminates re-ramp time. Git, backups, and exports are critical safety nets. This is not my first vibe coding rodeo. I ...