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GitHub has unveiled GitHub Copilot Free, offering a free tier of its popular AI-based coding assistant for developers using Microsoft’s Visual Studio Code (VS Code) editor. Announced on December 18, this new offering aims to broaden access to Copilot’s AI-powered code completions and chat capabilities, further integrating AI tools into the development workflow. By providing 2,000 code completions and 50 chat messages per month, GitHub is making Copilot more accessible to developers of all experience levels, whether they are building simple projects or tackling complex software development tasks. To use Copilot Free, developers must sign in with their personal GitHub…

OpenAI has unveiled its latest developments with the release of OpenAI o1, a new reasoning model available through API, and three fresh toolsets designed for developers. This update, announced Tuesday, positions OpenAI to stay at the forefront of enterprise conversations as demand shifts from simple chat-based applications to more complex, agentic solutions. The launch of the OpenAI o1 API is seen as a strategic move to maintain its competitive edge in the rapidly evolving AI space, especially with a growing focus on systems that can handle dynamic tasks, as opposed to traditional chatbots. Industry analysts have noted that OpenAI’s move…

Tabnine, a leading AI-powered coding assistant, has introduced a new feature aimed at reducing intellectual property (IP) liability in the software development process. The tool now includes a Code Provenance and Attribution capability designed to ensure that code generated by AI doesn’t inadvertently violate licensing agreements. As generative AI becomes more integrated into the software development workflow, the risk of incorporating unlicensed code becomes a growing concern. This new feature helps mitigate those risks by identifying and flagging code that may be subject to restrictive licenses, thus supporting enterprise teams in maintaining legal and compliance standards. The Code Provenance and…

Kazakhstan is redefining urban safety with its innovative “Carpet CCTV” project, led by the Ministry of Internal Affairs. This pioneering initiative merges extensive surveillance with advanced technologies like artificial intelligence (AI) and analytics, marking a shift from traditional reactive security measures to proactive crime prevention. By integrating these cutting-edge tools into its infrastructure, Kazakhstan is setting a new standard in public safety, enhancing not just surveillance but also the ability to manage urban risks in real time. In just four years, Kazakhstan’s CCTV network has grown exponentially, expanding from 40,500 cameras to an impressive 1.3 million. Among these, 313,000 are…

Rust has quickly gained a reputation among developers as one of the most powerful and efficient languages, especially when it comes to memory safety. It offers robust guarantees that prevent many common bugs found in other languages, all while maintaining excellent performance. However, its steep learning curve can be intimidating for beginners. Rust’s unique approach to memory management and its strict compiler requirements may seem like obstacles at first, but once you grasp its core principles, it becomes a much more approachable language. For those just starting with Rust, understanding a few key concepts can ease the learning process and…

One of the most exciting aspects of software development is the simple fact that you don’t need anyone’s permission to get started. Whether you’re developing an application for your own use or for a business, there’s nothing holding you back. Unlike other fields such as law, medicine, or even hairstyling—where you must obtain certifications or licenses from governing bodies—software development is open to anyone. If you have the interest and drive, you can start coding right now. There’s no approval process or formal barrier; the tools and resources are available to all. This freedom is what makes software development uniquely…

The .NET platform, powered by C#, has long been a strong contender in the server-side application landscape, offering a rich and robust environment for developing web applications. Similar to Java, .NET has evolved over the years, with both platforms influencing and inspiring each other in various ways. In this article, we will walk through creating a simple server-side web application using C# on .NET, and incorporate HTMX to enhance front-end interactivity without relying on JavaScript. This combination allows for the development of responsive, dynamic applications with minimal front-end code. Before diving into the application, the first step is to ensure…

JetBrains has launched klibs.io, a new web service designed to simplify the process of discovering libraries for Kotlin Multiplatform (KMP). Kotlin Multiplatform allows developers to write cross-platform applications for mobile, desktop, and web using a single codebase, and klibs.io aims to make it easier for developers to find compatible libraries for their projects. Currently in its alpha stage, klibs.io serves as an experimental search platform, introduced on December 17, with a focus on indexing Kotlin Multiplatform libraries that support multiple platforms like the JVM, Android JVM, WebAssembly, JavaScript, and Kotlin/Native. Klibraries.io aggregates data from sources such as Maven Central and…

Google has introduced its new Gemini Code Assist tools, aiming to revolutionize how developers work within integrated development environments (IDEs) like Visual Studio Code and JetBrains. These tools are designed to enhance productivity by integrating seamlessly into developers’ existing workflows, ensuring they remain in their preferred coding interface while accessing relevant information from various applications. By minimizing the need to switch contexts, Gemini Code Assist promises to streamline the coding process and reduce potential distractions. Kathy Lange, research director at IDC, highlights the tools’ focus on boosting developer efficiency. “These tools are all about developer productivity by enabling them to…

Since their introduction, large language models (LLMs) like GPT-3.5 and GPT-4 have redefined the boundaries of generative AI, showcasing remarkable capabilities. GPT-3.5 set a high standard with an 85.5% accuracy rate on common-sense reasoning benchmarks, and GPT-4 pushed this further to 95%. In 2024, OpenAI introduced GPT-4o, a multi-modal model adept at processing text, images, audio, and video, broadening the potential applications of generative AI systems. Yet, as these advancements capture headlines, the AI industry has also started confronting the limitations of LLMs. Gartner’s 2024 Hype Cycle for Artificial Intelligence indicates that generative AI has moved past the peak of…