React developers have polished free UI and solid tooling to be productive in making modern web apps. And the same UI can light up native cross-platform apps.

Envision this scenario. A seasoned developer joins a startup without much experience in React development. Unfortunately, the rest of the team loves React. The developer has to fly solo to deliver a web app quickly for a customer who is already grumbling about wanting the same experience on mobile/desktop devices. The developer has to show quick success with a high-quality app to earn respect among peers—and potential bragging rights with use of cool new AI technologies toward better productivity. There are some roadblocks though.

Full article HERE.

Learn how to get started with Telerik and Kendo UI AI Coding Assistants in Blazor or React in your preferred workflow.

It is the age of AI, and developers can infuse apps with solutions powered by Generative AI and large/small language models. Modern AI is also a big opportunity to streamline and automate developer workflows for better productivity. While the latest AI models and agent modes have come a long way, context matters more than anything else—developer productivity depends on quality of responses from AI.

Full article HERE.

There is a lot of excitement around Model Context Protocol (MCP)—let’s understand its value and explore potential solutions it enables.

It is the age of AI—there is a huge opportunity for developers to infuse apps with solutions powered by generative AI and large/small language models. Modern AI is also an opportunity to streamline and automate developer workflows for better productivity. However, look beyond the shiny surface and cracks start to show with today’s generative AI—context and expertise matters.

The Model Context Protocol (MCP) promises standardized communications to provide AI models/agents with deep contextual knowledge and bolster confidence in performing tasks with customized tools. Let’s explore.

Full article HERE.