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At Microsoft Ignite 2024, the company marked a significant shift in its approach to artificial intelligence, moving away from its initial exploration of chatbot technologies to focusing on more tangible productivity gains with large language models (LLMs). While chatbots with LLMs have been a popular tool for generating text and engaging users in conversational interfaces, Microsoft is now harnessing the lessons learned from its first-generation Copilot models and redirecting its efforts towards more impactful applications of AI. The company’s new direction centers on integrating LLMs into enterprise workflows to drive efficiency and real-world productivity improvements. A major component of Microsoft’s…

Uno Platform has unveiled a significant upgrade with the release of Uno Platform Studio, a suite of developer productivity tools designed to enhance the cross-platform .NET development process. One of the standout features of this new suite is Hot Design, a visual designer aimed at streamlining the process of building cross-platform .NET applications. The Uno Platform Studio, introduced on November 14, is designed to guide developers through different stages of the development life cycle, from initial design to app building. Hot Design is a key component of this suite, offering a way for developers to transform a running app into…

Cython has long been a powerful tool for Python developers, enabling them to bridge the gap between the Python and C languages. With the release of Cython 3.1, the integration between these two languages is set to become even more seamless. One of the standout features in this new release is its enhanced support for type annotations. Type annotations in Python have become increasingly popular for improving code readability, tooling, and error detection. Cython 3.1 builds on this trend by introducing powerful new features that make type annotations even more efficient when writing C extensions or wrapping C libraries in…

Kotlin has quickly become a favorite among developers, especially those familiar with Java, due to its clean syntax and seamless integration with JVM-based applications. One of the most powerful features Kotlin offers for concurrent programming is its coroutines. Coroutines allow developers to handle asynchronous tasks with minimal complexity, making concurrency easier to manage without the overhead of traditional threading. If you’re coming from a Java background, coroutines offer a refreshing alternative to the cumbersome thread management that often complicates multi-threaded Java applications. At its core, Kotlin’s coroutines are a lightweight abstraction over threads, designed to make concurrency simpler and more…

As Thanksgiving approaches, I find myself reflecting on the people and technologies that have shaped my journey as a software developer. This holiday is the perfect opportunity to acknowledge the many influences that have helped me grow in this field and express my gratitude for the pioneers whose contributions have made the digital world what it is today. First and foremost, I am incredibly thankful for Alan Turing. His revolutionary concept of a general-purpose computer, capable of executing any calculation based on varied algorithms, laid the foundation for modern computing. Turing is often regarded as the father of computer science,…

JetBrains has announced its decision to discontinue several scripting-related technologies in the Kotlin language, including key components such as REPL functionality, Java scripting APIs, and certain Maven plugins. In a blog post dated November 19, JetBrains explained that the move comes after research showed that the user needs addressed by these technologies are already being fulfilled by other, more widely supported tools. The company’s focus is shifting to ensuring Kotlin remains aligned with evolving user requirements while streamlining its feature set. Among the changes, the default REPL (Read-Eval-Print Loop) implementations in both the Kotlin compiler and the IntelliJ IDEA plugin…

Anthropic has made a significant step toward advancing AI integration with data sources by introducing the Model Context Protocol (MCP), an open-source protocol designed to allow AI systems to seamlessly connect with various data sources. Unlike proprietary solutions that are limited to specific systems, MCP aims to create a universal interface that enables developers to build secure, two-way connections between AI tools and the data they need. This client-server architecture is intended to streamline the integration of AI with external information sources, making the process more standardized and accessible for a broad range of applications. The introduction of MCP addresses…

Building a simple prototype with ChatGPT might only take a weekend, but developing a fully operational generative AI system that can securely handle enterprise data is a whole different ball game. Enterprises often face significant engineering challenges when building production-ready AI systems. Development teams spend weeks or even months tackling issues like securing data pipelines, managing unstructured and structured data across siloed systems, configuring vector databases, choosing the right models, and implementing security measures—all while ensuring compliance with stringent industry standards. Traditional approaches to generative AI system development often require a tough decision: invest months of effort building custom infrastructure…

In the rapidly changing world of cloud computing, it’s clear that generic metrics are often inadequate for truly measuring success. While cloud units—metrics designed to standardize cloud costs and resources—can offer some insight, they’re not always a reliable gauge of cloud value. The problem is that many enterprises, even when they have cloud units in place, fail to create meaningful metrics that align directly with the business value they’re trying to achieve. In fact, many companies don’t use metrics at all, though they may not openly admit it. Cloud metrics need to be specifically aligned with the value they’re meant…

Deno Land, the organization behind the Deno runtime for JavaScript, has petitioned the United States Patent and Trademark Office (USPTO) to cancel Oracle’s trademark for JavaScript. The petition claims that Oracle has effectively abandoned the trademark, citing the fact that since acquiring it from Sun Microsystems in 2009, the company has not sold any JavaScript-related goods or provided services linked to the language. This move is part of a broader effort to challenge Oracle’s claim over the JavaScript name, which some argue has been left dormant for over a decade. The petition, submitted on November 22, follows a public plea…