AI's coding capabilities prompt students to reevaluate the value of traditional computer science education and future career paths.

They represent a tectonic shift in how software is written and by whom. In place of painstakingly crafted logic by human ...

By Karyna Naminas, CEO of Label Your Data Choosing the right AI assistant can save you hours of debugging, documentation, and boilerplate coding. But when it comes to Gemini vs […] ...

Software developers have spent the past two years watching AI coding tools evolve from advanced autocomplete into something that can, in some cases, build entire applications from a text prompt. Tools ...

Strategic AI-driven QE can be the key to accelerating delivery, strengthening reliability and maintaining market velocity.

Researchers at UCSD and Columbia University published “ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design.” Abstract “While Large Language Models (LLMs) show ...

New benchmark shows top LLMs achieve only 29% pass rate on OpenTelemetry instrumentation, exposing the gap between ...

On Moltbook, an AI-only social network, agents spontaneously founded a lobster-themed religion—scriptures, prophets, and all.

Wish I did this sooner.

According to the 2025 Stack Overflow Developer Survey, the single greatest frustration for developers is dealing with AI solutions that look correct but are slightly wrong. Nearly half of developers ...

Quantum computing has attracted attention for years, but for most developers it has felt distant and impractical. By making its development kit open source and integrating it with widely used tools ...

Adaptive systems were supposed to simplify decision-making. Instead of hard-coded rules, engineers built models that could learn from data, respond to change, and improve over time. That promise still ...