As AI agents code alongside humans, API platforms and DevRel must redesign for machine-first consumption.

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

Programming began as a way to give simple instructions to machines that barely worked. Over decades, it evolved through punch ...

WIRED spoke with Boris Cherny, head of Claude Code, about how the viral coding tool is changing the way Anthropic works.

If AI writes code like a teenager, then testers need to be the adults in the room. That doesn’t mean standing at the end of ...

In the United States, the share of new code written with AI assistance has skyrocketed from a mere 5% in 2022 to a staggering ...

OSH Code 2020 explained for employers and HR teams. Learn applicability, single registration, common licence, inspections and ...

Despite lots of hype, "voice AI" has so far largely been a euphemism for a request-response loop. You speak, a cloud server ...

Microsoft released new open‑source quantum development tools that deepen VS Code and Copilot integration while targeting real ...

AI-generated code can introduce subtle security flaws when teams over-trust automated output. Intruder shows how an AI-written honeypot introduced hidden vulnerabilities that were exploited in attacks ...

SHENZHEN, GUANGDONG, CHINA, January 16, 2026 /EINPresswire.com/ -- As global manufacturing embraces Industry 4.0, the ...