Ralph Wigum keeps coding work moving by reading prior outputs, ideal for greenfield specs and batch cleanup, giving steady, ...

The lightweight Mikado method opens up a structured way to make significant changes even to complex legacy code.

When developers spend large portions of their time on maintenance, the opportunity for new value quietly disappears. Features slow down. Innovation stalls. Teams feel busy...Read More The post How AI ...

To address this challenge, I propose the 5‑Layer Modernization Stack, a practical, implementation‑ready architecture designed specifically for financial institutions adopting generative AI. This ...

A prediction that looks plausible but diverges from reality can create high-risk, even catastrophic situations in driving ...

The Consumer Electronics Show in Las Vegas drew hundreds of thousands from the tech industry this week to preview the year ...

AI agents are moving rapidly from experimentation to everyday business use, but choosing the right platform can feel ...

Is generative AI the catalyst for redefining modern engineering? Are we prepared for a world where intelligent tools shape ...

AI-powered test automation is redefining software reliability by reducing flaky tests, expanding coverage, and accelerating releases. Learn why enterprises rely on intelligent QA to scale confidently.

Today’s development environment, he explained, involves managing intelligent agents, subagents, prompts, memory, permissions, and tools, among other emerging components.

Anthropic has just released Cowork, which it is billing as Claude Code for non-coding work, and it turns out that it was ...

Accuracy is the make-or-break factor. If a detector flags too much code by mistake, it wastes time and frustrates developers. If it misses AI-generated sections, it cannot deliver the transparency ...