Yazar: mustafa efe

As Java approaches its 30th anniversary, Oracle is gearing up for its highly anticipated JavaOne 2025 conference, which promises to offer a deep dive into the evolution and future of the Java programming language. Set to take place from March 18-20, the event will be held at Oracle’s headquarters in Redwood City, California, just two months before Java’s milestone birthday on May 23. This year’s conference will focus on the remarkable journey of Java, from its origins to its continued relevance in modern tech, especially in fields like generative AI and machine learning. JavaOne 2025 will center around three key…

Microsoft is pushing the boundaries of TypeScript development with a bold move to implement the language natively using Google’s Go programming language. Announced on March 11, this new initiative aims to drastically improve the performance of TypeScript, particularly for larger projects that often bog down with slow build times, long editor load times, and high memory consumption. By porting the TypeScript compiler and tools from JavaScript to Go, Microsoft expects significant gains in speed, scalability, and overall user experience. The key benefits of this transition will be felt primarily in editor performance. Microsoft claims that by the time the Go-based…

Weaviate, a leading vector database provider, has introduced three new agents designed to enhance the development of generative AI-based applications. These agents are modular, agentic workflows that utilize large language models (LLMs) and prompts to interact dynamically with data stored in Weaviate’s vector database. The integration of these agents aims to streamline the process of building AI applications by offering easy-to-use APIs and powerful capabilities for developers. The new agents include the Query Agent, Personalization Agent, and Transformation Agent, each serving a unique purpose in the application development lifecycle. The Query Agent is designed to simplify complex query workflows, particularly…

Exploring the Best LLM Integration Tools for R: Expanding Capabilities in 2025 As generative AI continues to evolve, so do the tools that allow developers to integrate large language models (LLMs) into their applications. In late 2023, the landscape of generative AI packages for R was largely focused on integrating models like OpenAI’s GPT or enhancing coding workflows. Fast forward to 2025, and the field has expanded significantly. Today, R developers have access to a wider range of LLM integration tools, with support not only for cloud-based models but also for those running locally on personal machines. This development has…

Fortran and Delphi Make a Surprise Comeback in Programming Language Rankings In a surprising shift, older programming languages like Fortran and Delphi are seeing a resurgence in the Tiobe index of language popularity. While these languages are often considered relics of the past, their rise in the rankings is largely driven by the need to maintain and support legacy systems that are still critical to many industries. As of March 2025, Delphi/Object Pascal is ranked 10th, with Fortran following closely at 11th, marking a notable comeback for both languages. Ada and Cobol, long associated with legacy systems, are also seeing…

From Generative AI to Generative UI: Rethinking How We Interact with Intelligent Systems Generative AI is having its moment—and then some. Spending on generative AI applications is projected to reach $58 billion by 2028, according to Omdia. Yet despite the booming investment, actual adoption is lagging behind. Deloitte research reveals that nearly 70% of organizations have moved less than a third of their generative AI projects beyond the pilot phase. The technology is promising, but there’s still a disconnect between what’s being built and what users are ready to embrace. One of the key reasons for this gap is user…

JavaScript at 30: A Love-Hate Letter to the Web’s Favorite Language Thirty years ago, JavaScript emerged not with a grand vision, but as a humble enhancement tucked into early web pages. Born in 1995 within Netscape under the names Mocha and LiveScript, the language was originally intended to add small bursts of interactivity—maybe check a form field, make something blink, or shuffle a few elements on the screen. At the time, this was groundbreaking. The web was still in its infancy, mostly static and text-heavy, and even the presence of an image was considered advanced. Fast forward three decades, and…

Open Source Success Requires More Than Good Intentions For years, the open source community has been driven by a strong sense of mission and values—ideals like transparency, collaboration, and freedom. These “open source vibes” have often been framed as moral imperatives, with some advocates portraying open source as inherently superior to proprietary software. But the reality is more practical than philosophical: software, whether open or closed, is only as valuable as its ability to solve problems. Developers and customers aren’t buying into vibes—they’re looking for tools that work, scale, and deliver tangible results. Redis CEO Rowan Trollope captured this sentiment…

Microsoft Introduces AI Chat Template to Accelerate .NET App Development Microsoft has introduced a new web app template aimed at simplifying the process of building AI-powered chat applications within the .NET ecosystem. Now available in preview, the AI Chat Web App template is designed to help developers quickly spin up chat experiences integrated with advanced AI capabilities, including document-based interaction and retrieval-augmented generation (RAG). This move is part of Microsoft’s broader strategy to make AI development more approachable and accessible for .NET developers of all levels. Announced on March 6, the template can be installed via the Microsoft.Extensions.AI.Templates package. After…

Microsoft’s In-House AI Ambitions Face Hurdles, But Momentum May Be Building Despite its deep investment and vocal commitment to artificial intelligence, Microsoft has struggled to match the pace of its key partner OpenAI when it comes to developing proprietary AI systems. While Microsoft remains reliant on OpenAI for the core models powering many of its AI products, including its Copilot tools, the company has been quietly working on its own alternatives. Until recently, these efforts were characterized by delays and internal friction. That may be beginning to change. According to a report from The Information, Microsoft has completed training a…