The January 2026 release of Visual Studio Code expands AI-assisted development with structured planning agents, parallel ...

As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, mastering asynchronous and parallel programming has become essential for every serious ...

Multi-core processors theoretically can run many threads of code in parallel, but some categories of operation currently bog down attempts to raise overall performance by parallelizing computing. Is ...

What happens when the tools we use to create software evolve faster than the methods we rely on to manage them? This isn’t just a hypothetical question, it’s the reality developers face as AI-powered ...

Visual Studio Code 1.109 introduces enhancements for providing agents with more skills and context and managing multiple ...

According to researchers from MIT, code written explicitly to take advantage of parallel computing usually loses the benefit of a compiler’s optimisation strategies. The reason, they say, is because ...

OpenMP is the unsung backbone of parallel computing, powerful, portable, and surprisingly simple. Used everywhere from aerospace to AI, it lets developers tap into multicore and GPU performance with ...

Programming languages are evolving to bring the software closer to hardware. As hardware architectures become more parallel (with the advent of multicore processors and FPGAs, for example), sequential ...