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Caching remains one of the most effective techniques for boosting the performance and scalability of applications. In the world of .NET Core, various caching strategies are available, including in-memory caching (IMemoryCache API), distributed caching (IDistributedCache API), and the upcoming hybrid caching (HybridCache API) set to be released in .NET 9 this November. While these standard solutions work well in most use cases, they can fall short in more complex scenarios that demand advanced features like adaptive caching, eager refresh, and in-memory synchronization. This is where FusionCache comes into play, offering tailored caching solutions for more sophisticated requirements. FusionCache is an…

Swift 6, the latest iteration of Apple’s general-purpose programming language, is now officially available, bringing significant improvements in concurrency handling, data-race safety, and cross-platform support. This new version of Swift, released on September 16, marks a notable step forward in the language’s evolution, particularly in the areas of concurrency and data safety. Developers can now access these updates via Swift.org, with the option to download the latest version and start utilizing the enhanced features immediately. One of the key highlights of Swift 6 is the introduction of a new opt-in language mode that significantly strengthens data-race safety. In this mode,…

As the cloud services landscape becomes more competitive, particularly in the realm of generative AI, Oracle is positioning itself to provide the IT infrastructure necessary for developers and enterprises to leverage these technologies effectively. At Oracle CloudWorld 2024, the company highlighted its strategic focus on enabling generative AI applications, while also expanding its multicloud and distributed cloud offerings. Oracle aims to empower organizations by delivering integrated tools that facilitate the adoption of AI in their operations, helping them stay competitive in a rapidly evolving market. Oracle’s Chairman and CTO, Larry Ellison, took the stage to outline the company’s vision for…

JavaScript has undergone several transformative moments since its inception. The first was Brendan Eich’s creation of the language itself, but the second major shift came when Ryan Dahl introduced the idea that JavaScript could operate on the server via an event loop. This concept gave rise to Node.js, a runtime that fundamentally changed how developers build web applications. By enabling JavaScript to run outside the browser, Node.js paved the way for full-stack JavaScript development, unifying client and server-side programming under a single language. However, over time, Dahl recognized certain limitations in Node.js and set out to create a more secure…

Markdown has become a widely used format for creating documentation due to its simplicity and readability. Originally developed for blogging and online message boards, it has since evolved into a go-to source format for technical documentation, software manuals, and even e-books. Its lightweight syntax makes it easy to write, while various tools have emerged to convert Markdown into polished, publishable formats such as HTML, PDFs, and static websites. This article compares four popular documentation-generation tools that rely on Markdown as their primary input format: mdBook, Quartz, MkDocs, and HonKit. Each of these tools offers a different approach to handling Markdown-based…

Kapil Thangavelu’s journey into cloud resource management began with an unexpected detour. Originally considering a career as a history professor, he pivoted to software development after discovering Python in college. His early exposure to Python-based tools like Zope and Plone set him on a path that led through diverse technical landscapes, from GIS work at DARPA to managing ephemeral AWS workloads at the Library of Congress. Eventually, he found himself at Canonical, working alongside Mark Shuttleworth on Ubuntu Linux and leading the development of Juju, an open-source project designed to simplify cloud application management. By the time Thangavelu joined Capital…

Java’s role in AI development is gaining momentum, challenging Python’s long-standing dominance in the field. While Python remains the go-to language for AI due to its extensive libraries and ease of use, Java advocates argue that the nearly three-decade-old language is well-positioned to make significant strides in AI. With its strong presence in enterprise environments and ongoing enhancements for AI capabilities, Java is emerging as a viable contender in the space. Oracle, the primary steward of Java, highlights a “triple play advantage” that positions Java favorably for AI. This strategy focuses on integrating AI with cloud infrastructure, improving AI-native capabilities…

Concerns over C++ memory safety may soon become a thing of the past. The C++ Alliance, a nonprofit organization dedicated to making C++ more accessible and secure, is spearheading efforts to introduce memory safety features through its Safe C++ Extensions proposal. This initiative aims to address longstanding issues with memory safety in C++ by providing developers with tools to write safer code without sacrificing the language’s flexibility and performance. If successful, this proposal could significantly enhance the security and reliability of software built with C++. The C++ Alliance plans to submit the Safe C++ Extensions proposal to the ISO for…

Java Development Kit (JDK) 23 has officially been released, bringing with it a host of exciting new features and improvements to the Java programming language. This update introduces a variety of changes, including previews of module import declarations, stream gatherers, structured concurrency, and scoped values, as well as a new class-file API. However, one significant change in JDK 23 is the deprecation of memory access methods in the sun.misc.Unsafe class, signaling a shift towards safer, more standardized alternatives. These updates aim to enhance the functionality and performance of Java, with thousands of smaller improvements and bug fixes included in the…

Generative AI heavily relies on data to generate responses to user queries. Large language models (LLMs), such as OpenAI’s GPT-3, are trained on enormous datasets to understand and produce natural language. For instance, GPT-3 was trained using the CommonCrawl dataset, which comprises 570 gigabytes of data and 400 billion tokens. These datasets, although vast, are essentially snapshots frozen in time, and they cannot incorporate real-time information about ongoing events. This limitation can lead to AI-generated responses that are outdated or, in some cases, even incorrect. Moreover, LLMs are susceptible to hallucinations—instances where the AI generates information that appears plausible but…