The right balance lies in using AI where it accelerates safely and relies on skilled engineers to govern where it cannot.

Beware the hidden costs of AI-generated code; human oversight is essential to prevent bugs and maintain software quality.

To understand where we’re headed, it helps to break the AI landscape into four categories. When ChatGPT launched in late 2022 ...

Distillery reports that in 2025, generative AI is significantly boosting software developer productivity, enhancing ...

This is the most underutilized cheat code: Use AI to accelerate R&D and product development. Tools like Synthesia for video ...

Developers are leaning more heavily on AI for code generation, but in 2026, the development pipeline and security need to be ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

When ChatGPT arrived in late 2022, it kicked off an AI boom that hasn't stopped since and showed how powerful ...

Tyler Hochman is the founder and CEO of FORE Enterprise, a premier AI solutions architect and a Forbes 30 Under 30 honoree.

Researchers at Google’s Threat Intelligence Group (GTIG) have discovered that hackers are creating malware that can harness the power of large language models (LLMs) to rewrite itself on the fly. An ...

Based on the four-day-old post, many publications began reporting that by 2030, Microsoft will switch its entire code base ...