As some of the world’s largest tech firms look to AI to write code, new research shows that relying too much on AI can impede ...

Just a few short months ago, back in November 2025, investors were writing OpenAI‘s obituary. That’s when Google unleashed ...

SunFounder has sent me a review sample of the Fusion HAT+ Raspberry Pi expansion board designed for motor and servo control using audio interactions with ...

Discover five chatgpt apps that fall short on privacy, reliability, or usefulness, and learn when it's smarter to stick with native tools instead for security.

Python libraries handle real business tasks like APIs, data analysis, and machine learning at scaleUsing ready-made libraries ...

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

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

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.

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?

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.

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