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Visual Studio Code (VS Code) has just launched version 1.99, introducing several exciting features that promise to enhance the coding experience. Among the notable updates is the official stabilization of agent mode, which now becomes part of the stable release. This feature integrates GitHub Copilot’s agent mode, enabling developers to leverage natural language to define high-level tasks and trigger autonomous code-editing sessions. With agent mode, Copilot takes charge by planning the necessary work, selecting the appropriate files, and executing code modifications, all while monitoring the outcomes and making iterative improvements. One of the key advancements in the 1.99 update is…

A recent warning to developers using Microsoft’s Visual Studio Code (VSCode) editor has highlighted the discovery of 10 malicious extensions that could potentially infect systems with cryptomining software. According to researchers at ExtensionTotal, these deceptive extensions, which disguise themselves as popular development tools, have been available on the VSCode Marketplace since April 4. While the exact number of installations is uncertain, researchers believe that up to 1 million downloads could have occurred. However, there are suspicions that threat actors may have artificially inflated the download figures to appear more widespread than they actually are. Once installed, the malicious extensions download…

Cloudflare, continuing its push to enhance AI development, announced a range of new tools and features aimed at accelerating the creation of agentic AI applications during its Developer Week event. Building upon the release of the Agents SDK JavaScript framework in February, which is designed to help developers build AI agents, the company revealed several new updates and capabilities to improve the development and deployment of these agents. As part of this initiative, Cloudflare also launched a dedicated landing page that aggregates all of its agent-related tools in one place for easier access. A major highlight of Cloudflare’s announcements was…

Kotlin, Swift, and Ruby have all experienced a notable decline in popularity, slipping from their stable positions within the top 20 on the Tiobe Programming Community index. According to Tiobe CEO Paul Jansen, these once-popular languages seem to be losing traction, signaling a potential fade from the limelight. As of April 2025, Ruby, Kotlin, and Swift are ranked 24th, 25th, and 26th, respectively, a drop that highlights the shifting landscape of programming language trends. The decline in rankings is largely attributed to the evolving needs of the mobile development sector. Kotlin and Swift, which were previously favored for Android and…

When it comes to artificial intelligence (AI) and machine learning (ML) development, Java isn’t typically the first language that comes to mind. Many developers opt for Python, thanks to its extensive array of libraries and frameworks specifically designed for AI, ML, and data science. Python has long been the go-to language for these fields, but Java should not be overlooked. In fact, Java continues to hold a significant place in AI development, especially for those who appreciate its robust ecosystem and technical advantages. Java’s enduring popularity in AI and ML can be attributed to its well-established reputation for stability, performance,…

Generative AI applications have largely centered around large language models (LLMs), which have dominated the landscape since the advent of ChatGPT. These models have attracted massive investment and sparked waves of innovation across various sectors. However, as the field evolves, it’s worth questioning whether the size of these models is truly as crucial as it seems for every application. Alongside the rise of powerful LLMs from major players like OpenAI, Anthropic, and Google, there has been growing interest in smaller language models (SLMs). Unlike LLMs, SLMs are trained on more compact and specialized datasets, making them less resource-intensive and cheaper…

The long-standing notion that AI will eliminate the need for software developers is increasingly being debunked. For years, the rise of generative AI and large language models (LLMs) has sparked fears that they would replace human coders. However, the data tells a different story. Instead of reducing the need for developers, AI tools like GitHub Copilot are accelerating the demand for software and driving organizations to build more applications, faster. This phenomenon mirrors the Jevons paradox in economics, where efficiency improvements lead to greater consumption of a resource—in this case, the time and effort of software developers. The introduction of…

Cloud computing remains the dominant platform for large-scale applications, continuously driving innovation in enterprise technology. With public cloud spending set to reach $675 billion in 2024—an increase of 20% from the previous year—cloud adoption shows no signs of slowing down. Gartner predicts this figure will continue to rise, forecasting a 22% increase to $824 billion in 2025. This rapid growth is fueled by developments like AI and machine learning on the cloud, edge computing, and multicloud strategies, alongside advancements in security, privacy, and sustainability practices. So, what exactly is cloud computing? At its core, cloud computing is the abstraction of…

Sonatype has identified nearly 18,000 malicious open-source packages in the first quarter of 2025, highlighting a growing threat to software supply chains. The company released these findings in its newly introduced Open Source Malware Index, unveiled on April 2. The index reflects a troubling rise in the number and complexity of malicious packages intentionally designed to target developers and compromise software development environments. According to Sonatype, these open-source malware packages are specifically crafted to infiltrate software supply chains by exploiting developers’ trust in popular ecosystems like Maven Central, NPM, PyPI, and NuGet. The Q1 2025 data reveals a significant surge…

When it comes to software tools, we often crave a deceptively simple mix: speed and ease of use. But as any developer knows, that’s just the beginning. We also expect tools to be reliable, enjoyable to work with, supported by strong communities, and flexible enough to evolve with our needs. Add to that a thriving ecosystem, clean integration paths, extensibility, and ongoing maintenance—and it becomes clear that our “simple” wish list is anything but. JavaScript frameworks have been under constant evolution to meet these demands. As the landscape of front-end development has matured, developers have grown increasingly savvy about balancing…