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Microsoft has officially advanced .NET 9 to the release candidate stage, bringing with it a variety of exciting new features and improvements. Among the notable updates, the WebSocket APIs have been enhanced, providing developers with greater control over connection management. This includes new options for sending WebSocket pings and aborting connections when peers fail to respond within a specified time frame. Previously, developers could only adjust the KeepAliveInterval to prevent idle connections, but this new feature offers a more direct way to enforce peer response requirements, improving reliability in real-time communication scenarios. The release candidate also introduces significant updates to…

Handling files on the server is a fundamental task for developers, and server-side JavaScript platforms like Node.js, Deno, and Bun make it relatively easy to work with files. These platforms provide various libraries and tools that streamline the process of reading, writing, updating, and organizing files. In this article, we’ll explore how to use the fs (filesystem) library in Node.js and other platforms to perform common file-handling operations, such as creating, moving, and listing files and directories, as well as streaming file data efficiently. The fs library is an essential module in server-side JavaScript, primarily used for interacting with the…

TypeScript 5.6, the newest stable version of Microsoft’s strongly typed JavaScript extension, is now available for general use. This release brings several improvements, including new rules for disallowing unnecessary nullish and truthy checks. These checks, when applied to expressions that always yield the same outcome, can now trigger compiler errors. The goal of this feature is to catch potential bugs early in the development process by flagging checks that are redundant or meaningless due to their predictable outcomes. For example, expressions like true, false, 0, and 1 are still allowed, even though they always evaluate to a specific truthy or…

Oracle has introduced its AI-powered programming assistant, Oracle Code Assist, in a beta trial. The tool is designed to enhance the development of applications on Oracle Cloud Infrastructure (OCI) and is currently optimized for Java. Oracle aims to make this assistant an essential resource for developers, particularly for those building and maintaining applications in Java. The beta version provides a suite of features intended to support developers in their efforts to boost performance, security, and efficiency when working with Java applications. While Oracle Code Assist is primarily focused on Java in its beta version, it is compatible with most modern…

Generative AI, despite its relatively recent emergence compared to other AI technologies, has already proven its versatility in supporting a variety of tasks. From helping to vet job candidates to assisting in diagnosing medical conditions and recommending treatments, its potential is vast. IDC projects that by 2028, a significant portion of chief information officers will turn to generative AI tools to enhance decision-making, improve customer service, accelerate data analysis, and more. As businesses begin to recognize the value of these tools, they are exploring ways to integrate large language models (LLMs) into their operations to enhance productivity and customer experiences.…

In the world of multithreading, managing access to shared resources is crucial to ensure the integrity and smooth operation of an application. Synchronization mechanisms such as mutexes and semaphores are vital tools in achieving this. Both of these tools play a key role in preventing conflicts between threads that might attempt to access the same resource simultaneously, which can lead to data corruption, deadlocks, or inconsistent results. To get started, it’s important to understand the basic concepts of thread synchronization. A thread, in essence, is a single sequence of instructions within a program, and multithreading allows several such sequences to…

Generative AI has made incredible strides in recent years, but its reliance on massive datasets still presents challenges. Large language models (LLMs) like OpenAI’s GPT-3 were trained on enormous data sets—such as the CommonCrawl data set, which contained 570 gigabytes of data and 400 billion tokens. These datasets are extensive but also static, meaning they can’t accommodate real-time information or adapt to new events. As a result, AI responses can become outdated, or worse, include hallucinations—plausible-sounding information that is, in reality, inaccurate. Even the best-performing LLMs, like OpenAI’s, still grapple with hallucination rates around 1.5 to 1.9 percent, according to…

It seems that androids do dream after all—and their dreams are often a bit odd. In the early days of generative AI, we saw bizarre outputs like human hands with eight fingers or pizza sauce recipes involving glue. Now, developers using AI-assisted coding tools are encountering similar “hallucinations” in their code, where the AI generates unexpected or incorrect results. These strange outputs can cause confusion and errors, but understanding why they happen and how to manage them is key to maintaining quality code. “AI hallucinations in coding tools are a result of the probabilistic nature of AI models,” explains Mithilesh…

In the early days of computing, software development was an incredibly straightforward process. Developers worked directly with the hardware, toggling switches on a mainframe’s front panel to run code. There were no elaborate build processes or complex dependencies; the code either worked or it didn’t. While not necessarily easy, creating software was relatively uncomplicated compared to the highly structured, multi-step processes we deal with today. Fast forward to the present, and the situation has changed drastically. Modern software development involves a multitude of steps for every line of code. What was once a simple series of keystrokes has transformed into…

Many people are afraid of flying but think nothing of taking a long road trip. The fear often seems irrational, given that statistically, flying is much safer. According to NOVA, your chance of being in a fatal car accident is about 1 in 5,000, but the odds of dying in a plane crash are only 1 in 11 million. In fact, air travel is 2,200 times safer than traveling by car. Despite this, many people still have a greater fear of flying than driving. It’s understandable to feel anxious during turbulence or in unfamiliar flying conditions, but when you look…