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The rapid expansion of IoT and edge computing devices demands efficient tools for development and management. Vibe coding emerges as a practical solution tailored for embedded systems, offering a streamlined approach to building and controlling connected devices. This post explores how Vibe coding supports developers and engineers in managing IoT and edge devices, highlighting its features, benefits, and real-world applications. Embedded system board with IoT sensors What is

In the ever-evolving landscape of the Internet of Things (IoT), understanding the tools and technologies that drive innovation is crucial. Two prominent approaches in Artificial Intelligence (AI) that are making waves today are Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Each approach has its strengths and weaknesses, especially when applied to IoT systems. In this blog post, we will compare LLMs and RAG, exploring their relevance to smart devices,

As technology continuously evolves, engineers and product managers face the challenge of keeping their systems up to date. A key upgrade many are considering is the migration from Qualcomm Snapdragon 410C to the newer QCS6490 model. This transition is not just a simple change but a significant move that offers a plethora of benefits, including enhanced performance, improved features, and better integration with modern development kits. The Snapdragon 410c changed the game for

The integration of artificial intelligence (AI) with the Internet of Things (IoT) is reshaping how industries operate. AI-powered IoT applications deliver smarter, faster, and more efficient solutions. These innovations drive automation, improve decision-making, and enhance operational efficiency. Organizations in IoT, automotive, smart cities, healthcare, and Industry 4.0 sectors stand to gain the most from these advancements. AI enhances IoT by enabling devices to analyze d