Gemini Cli Vibecode A Next Js App And Push To The Cloud

Bonisiwe Shabane
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gemini cli vibecode a next js app and push to the cloud

What if you could transform your web development process from a painstaking grind to a seamless, creative flow? Imagine sketching out a sleek user interface in minutes, watching it come to life as a fully functional Next.JS application—all with the help of AI. Bold claim? Not anymore. Tools like Gemini AI are transforming how developers approach app creation, blending intuitive design with code generation to eliminate much of the manual labor. Whether you’re a seasoned developer or just starting out, the idea of AI-assisted coding isn’t just futuristic—it’s happening now, and it’s reshaping the way we build for the web.

With Gemini AI, the journey from concept to deployment is no longer a maze of complexity but a streamlined, collaborative experience. Eric Tech explores how to harness the power of Gemini AI to design and build a responsive Next.JS app that’s both visually stunning and highly functional. From crafting a polished user interface with responsive layouts to converting designs into reusable React components, this guide will walk you through the process step by step. Along the way, you’ll uncover how AI can simplify repetitive tasks, generate intelligent code suggestions, and even help you manage version control with tools like YoYo. But this isn’t just about saving time—it’s about unlocking new levels of creativity and precision in your workflow. By the end, you’ll see how AI can transform not just the way you code, but the way you think about development itself.

Gemini Code Assist is a powerful AI-driven tool that integrates seamlessly with Visual Studio Code to streamline development tasks. To begin, you’ll need to configure Gemini Code Assist by: Once set up, Gemini becomes an invaluable resource for generating code snippets, automating repetitive tasks, and providing intelligent suggestions. Its intuitive interface ensures that even developers new to AI tools can quickly incorporate it into their workflow. By reducing manual coding efforts, Gemini allows you to focus on higher-level design and functionality. The user interface is a critical component of any web application, and Gemini AI simplifies the design process by generating responsive layouts tailored to your specifications.

Drawing inspiration from platforms like Dribbble or Mopping, you can create visually appealing designs for features such as chat messaging interfaces. Vibe coding is an emerging software development practice that uses artificial intelligence (AI) to generate functional code from natural language prompts, accelerating development, and making app building more accessible, especially for those with limited... The term, coined by AI researcher Andrej Karpathy in early 2025, describes a workflow where the primary role shifts from writing code line-by-line to guiding an AI assistant such as Gemini CLI to generate,... This frees you up to think about the big picture, or the main goal of your app, while the AI handles writing the actual code. Gemini CLI is an open-source AI agent that brings the power of Gemini directly into your terminal. The Gemini CLI project is open source and you can view the public roadmap to learn more about functionality enhancements, upcoming features, and bug fixes.

In this lab, you learn how to perform the following tasks: This lab can be run entirely within Google Cloud Shell, which comes pre-installed with Gemini CLI. In the world of software development, we often talk about rigid methodologies, detailed sprints, and comprehensive design documents. But sometimes, the best way to build something is to just… start. To follow your intuition, let the project guide you, and “vibe code” your way to a finished product. That’s exactly how the SermonShortCreator came to be.

I had a simple idea: create a tool to help churches and content creators quickly snip short, shareable clips from longer sermon videos, complete with a watermark. I didn’t have a grand plan, just a clear goal and a bit of a vibe. This post is the story of that process, powered by a new kind of collaborator: the Gemini CLI in VS Code. This wasn’t my first attempt at building a video-editing tool with the help of AI. My initial journey, which I documented on in blog post Building My YouTube Shorts Generator with AI, was a more fragmented, “copy and paste” experience. I was jumping between ChatGPT, Copilot, and Gemini in my browser, using a mix of Python libraries like MoviePy and building a desktop app with Tkinter.

It was a tedious process, fraught with the constant need to ensure correct indentation and syntax. The experience felt less like a partnership and more like a scavenger hunt for code snippets. This time, I was determined to find a better way. I wanted a true collaborator, a tool that was seamlessly integrated into my workflow, not a separate window I had to manage. The Gemini CLI in VS Code promised just that, and it completely transformed the experience. In case you didn't get it, I'm 100% hooked up with #GeminiCLI :) Here's my second article on Gemini CLI, where I build an app from scratch and share a few pro tips on...

https://lnkd.in/exhhyRD3 Btw, I'll be in Berlin next week at #WeAreDevelopers to tell you more about it! #GoogleCloud A few notes: * This article contains pro tips - not much into prompting but how to manage GEMINI.md and the feedback loop to get it where you want. * I've found it incredibly rewarding to work with Gemini on both (1) coding the app (2) managing my public data in public yaml: adding a new event can be just done by chatting... * I can't code JS/TS at all. I nearly can't remember the days when I didn't have Gemini CLI - how's it called again?

Oh yes, May 2025. https://lnkd.in/eaqMmEN8 Everybody needs JavaScript sometime. Welcome to our club 😃 Stay tuned, it's about to get weird! 🔮🤖

In my previous post, we built a UI generator from scratch using Next.js and the Gemini API. This post is a quick guide on how to use the Gemini API in any of your Next.js apps, in general. Watch the video tutorial here: https://www.youtube.com/watch?v=6CgeNtJwKFs For this tutorial, create a new next.js project from scratch by running: While you are at the terminal, change directory to your project root and install the Google AI SDK (we will use it later):

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