Generative AI | News, how-tos, features, reviews, and videos
What if AI-assisted development is less of a threat, and more of a jetpack? This month’s report tackles vibe coding, along with new JavaScript tools and techniques to explore in your AI-assisted free time.
State of Django 2025 report cites rising usage of AI tools such as GitHub Copilot and Anthropic Claude for both learning and coding assistance.
Tabnine agents said to be able to use an organization’s repositories, tools, and policies to plan, execute, and validate multi-step development tasks.
TransferEngine enables GPU-to-GPU communication across AWS and Nvidia hardware, allowing trillion-parameter models to run on older systems.
This strengthens Google’s position against rivals such as Microsoft and AWS as enterprises seek faster, more reliable ways to deploy and manage AI agents.
New Agent Bricks features — Agent-as-a-Judge, Tunable Judges, and Judge Builder — are designed to help enterprises fine-tune agent performance and align AI behavior with business-specific standards.
Open-source Python library any-llm allows developers to switch among cloud and local model providers without rewriting code.
Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what you need to know about using Java, Rust, Go, or C#/.Net for AI/ML.
Large language models are astonishingly good at coding and getting better. What will this mean for software and software developers?
Understanding the difference between deterministic and non-deterministic systems is key to thriving in this new world of AI.