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Touted as an “AI-native intelligent development environment,” Visual Studio 2026 features performance and user experience improvements in addition to AI-powered debugging, profiling, and more.
Application platform update brings enhancements for AI agent development, cryptography, runtime performance, and the C# and F# programming languages.
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.
Microsoft’s cloud-native, distributed application development tool kit drops .NET from its name and embraces, well, everything.
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.
The iconic Java framework has evolved and modernized, integrating a host of new features without sacrificing power or simplicity.
While an argument to re-integrate JavaFX floats in an OpenJDK discussion list, Oracle ponders providing better access to JavaFX from the JDK.