Savvy developers are realizing the advantages of writing explicit, consistent, well-documented code that agents easily understand. Boring makes agents more reliable.

Researchers show AI can learn a rare programming language by correcting its own errors, improving its coding success from 39% to 96%.

Microsoft's AI Toolkit extension for VS Code now lets developers scaffold a working MCP server in minutes. Here's what that looks like in practice -- including the parts that don't work, and a simpler ...

Skills in Python, SQL, Hadoop, and Spark help with collecting, managing, and analyzing large volumes of data. Using visualization tool ...

PyTorch is one of the most popular tools for building AI and deep learning models in 2026.The best PyTorch courses teach both basic concept ...

Developers are shifting toward artificial intelligence infrastructure as blockchain ecosystems lose contributors across major networks, from Ethereum to Solana.

For years, the guiding assumption of artificial intelligence has been simple: an AI is only as good as the data it has seen. Feed it more, train it longer, and it performs better. Feed it less, and it ...

Why Passwords Are Still a Developer's Problem in 2026. The case against password-based authentication is well-established in the IAM community, but the practical implications for ...

While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as muc ...

Elon Musk unveils “Macrohard,” a Tesla and xAI AI system designed to perform complex computer tasks and potentially replicate the functions of software companies.

Infosecurity spoke to several experts to explore what CISOs should do to contain the viral AI agent tool’s security vulnerabilities ...