Anthropic has published new research on 29 January 2026 that asks a hard question of software teams adopting AI assistants: do quick productivity gains come at the cost of long‑term coding mastery?

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 […] ...

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

The Predator franchise boasts some terrifyingly skilled and downright memorable characters. Let's try to find the 10 ...

Urschel involved the crowd in his explanation of linear systems. He used an example problem of finding the ages of two ...

This case study examines how vulnerabilities in AI frameworks and orchestration layers can introduce supply chain risk. Using ...

As AI coding tools become more sophisticated, engineers at leading AI companies are stopping writing code altogether ...

The popular open source AI assistant (aka ClawdBot, MoltBot) has taken off, raising security concerns over its privileged ...

Software developers have spent the past two years watching AI coding tools evolve from advanced autocomplete into something ...

Fragmented tax documentation and withholding workflows create compliance risk. Learn how a lifecycle approach improves ...

Full-time About Mongabay Mongabay is a leading environmental news platform that reaches over 60 million people annually with trusted journalism about conservation, climate change, and environmental ...

The good news? This isn’t an AI limitation – it’s a design feature. AI’s flexibility to work across domains only works because it doesn’t come preloaded with assumptions about your specific situation.