The next major release, .NET 11, should arrive in November 2026, and the project recently unveiled its first public preview. Like earlier first looks, it’s nowhere near feature complete, with several ...

Overview: Modern .NET productivity depends on libraries enabling resilience, observability, messaging, and clean architectural separation at scale.High-performa ...

Microsoft has released ASP.NET Core in .NET 11 Preview 1, introducing new Blazor components like EnvironmentBoundary, Label, and DisplayName, along with relative URI navigation, QuickGrid row click ...

File-based apps, extension members, nameof improvements, and user-defined compound assignment operators make life easier for C# programmers. You’ll need .NET 10.

Microsoft has announced that the Microsoft Agent Framework has reached Release Candidate status for both .NET and Python. This milestone indicates that the API surface is stable and feature-complete ...

Built to close the gap left by try.NET, the free course gives developers a practical, interactive way to learn modern ...

Overview: Functional programming prevents unintended data changes, reducing errors in large systems.Pure functions improve testing accuracy because outputs depe ...

For decades, learning to program has been rooted in the process conception of knowledge. Students learned by doing: by writing code, compiling, fixing syntax errors, and gradually developing fluency ...

York College of Pennsylvania will offer a new lifelong learning program for older adults, according to a news release. The initiative, which will officially launch on Jan. 5, 2026, will help to enrich ...

(opens in a new window) (opens in a new window) (opens in a new window) (opens in a new window) Copy HelpAge International’s 2024–25 Learning Report explores how ageism interacts with other forms of ...

Parts of the brain are "rewired" when people learn computer programming, according to new research. Scientists watched university students’ brains as they learned to code. The team used functional ...

Abstract: A differential dynamic programming (DDP)-based framework for inverse reinforcement learning (IRL) is introduced to recover the parameters in the cost function, system dynamics, and ...