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

Overview: Low-code automation platforms are driving workflow efficiency and integration across industries.Tools like Power Automate, Appian, Zapier, Make, and n ...

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

Whether it’s spotting sector momentum or flagging volatility, the AI helps streamline what would normally require hours of ...

Andrej Karpathy, former Tesla AI director, describes AI systems as ‘alien tools’ without a manual. He also expressed concern ...

AI can inadvertently introduce vulnerabilities by hallucinating libraries or repeating insecure patterns found in its ...

Google integrates Opal into Gemini, allowing users to build AI mini-apps without code. Create multi-stage workflows using ...

A new computational breakthrough is giving scientists a clearer view into how dark matter structures evolve. Dark matter has ...

Overview: Explains why generative AI needs a new approach to software testingLists top tools transforming QA automation and evaluationExamines how QA roles and ...

In 2025, AI education moved beyond traditional coding lessons, focusing more on real-world skills, creativity, and ...

Aider is a “pair-programming” tool that can use various providers as the AI back end, including a locally running instance of ...

Let's look at the pros and cons of going full AI to help you understand how the value and purpose of software development ...