Google AI Studio Just Killed Every AI Coding Tools

corbin

14,766 views • 5 days ago

Video Summary

Google AI Studio offers a revolutionary approach to app development, significantly simplifying the process with templates and a focus on natural language prompting over traditional coding. This platform provides direct access to Google's extensive ecosystem, including APIs for services like Google Maps and AI video generation. A standout feature is its image editing capability, demonstrated by transforming a photo with simple text prompts, mirroring a Photoshop-like workflow. The tool also integrates with GitHub, allowing for seamless saving and deployment of generated code, even featuring an option to create repositories directly. While it challenges existing AI coding platforms, it still requires tools like Cursor AI for certain functionalities, indicating a potential shift in developer workflows rather than a complete replacement. The core message emphasizes that proficiency in interacting with AI models is becoming more crucial than deep coding knowledge for building applications.

A remarkable aspect highlighted is the platform's ability to generate functional code through prompts, potentially enabling anyone to create applications. This paradigm shift redefines the software engineering landscape, empowering both experienced developers and novices alike by democratizing app creation. The demonstration includes generating an app, connecting it to GitHub, and even a glimpse into deploying it via Firebase and GCP, showcasing a comprehensive end-to-end development environment facilitated by AI

Short Highlights

Google AI Studio offers templates for creating apps quickly without traditional coding, dubbed "Insta apps."
The platform provides direct access to Google's ecosystem, including APIs for services like Google Maps and AI video generation.
Demonstrates an AI-powered image editing capability, transforming a photo with text prompts, akin to a Photoshop workflow, using Gemini 2.5.
Allows for saving and deploying generated code to GitHub, with an option to create repositories directly within the studio.
The shift in development focuses on prompting AI models effectively rather than deep coding knowledge, democratizing app creation.
The tool prompts users to think about the implications for existing AI coding platforms like Cursor AI, Codeex, and Replit.
Includes a workflow for downloading the app, opening it in Cursor AI, and pushing the code to GitHub when direct integration fail

Key Details

Introduction to Google AI Studio and Its Impact [00:00]

Google AI Studio is presented as a revolutionary tool that might be replacing existing AI coding platforms like Cursor AI, Codeex, and Replit.
The platform offers numerous templates that allow users to create applications rapidly, referred to as "Insta apps," minimizing the need for traditional coding.
The video aims to demonstrate how to use Google AI Studio and explain its relevance for software engineers.

"Did Google just destroy every single AI coding platform?"

Accessing Google's Ecosystem and AI Capabilities [00:42]

Google AI Studio provides direct access to Google's ecosystem, including APIs for services like Google Maps and AI video generation (VO).
This integration is highlighted as a major advantage of using the platform.

Image Generation and Editing with Gemini 2.5 [01:06]

The demonstration uses a tool called Nano Banana, analogous to image generation software like DALL-E.
The goal is to upload a photo and use prompts for a Photoshop-like workflow, such as changing clothing or adding features.
Gemini 2.5 is utilized for this demonstration, with the interface designed to minimize direct code visibility, encouraging prompt-based interaction.

"I want it so I can upload a photo of someone and have the ability to do a Photoshop like workflow by using prompts like make the person wear a red shirt, add a hat, remove some acne, whatever it may be."

Successful Image Transformation and Monetization Potential [02:13]

The first prompt successfully transformed the image by adding a red shirt to the person, impressing the presenter.
This capability is compared to a previous project that generated $20,000 in monthly recurring revenue (MRR), suggesting significant monetization potential.

GitHub Integration and Workflow [02:46]

The platform offers a "Save to GitHub" feature, allowing users to push their generated code to a Git repository.
The process involves signing into GitHub, granting permissions, and creating a new repository directly within Google AI Studio.
A workaround is provided for cases where direct GitHub integration fails, involving downloading the app, opening it in Cursor AI, and then manually pushing the code to a newly created GitHub repository.

"Now, saying that if you don't like Google's ecosystem, you might be like, 'Corbin, Microsoft needs to catch up.'"

The Importance of GitHub for "Vibe Coders" [03:03]

The presenter emphasizes the fundamental importance of understanding GitHub, even for "vibe coders" who prefer not to delve deeply into code.
GitHub is described as an essential tool, using an analogy of cooking pasta without water if one doesn't understand GitHub.
The presenter offers extensive GitHub tutorials for those unfamiliar with the platform.

Deployment Options and Future Lessons [05:43]

Google AI Studio includes a "Deploy App" option, which leads to further steps involving Firebase and GCP.
The presenter directs viewers to their YouTube channel for comprehensive, free courses on building websites, software, and backends from scratch using Google's ecosystem.

The Shifting Landscape of Coding [06:17]

The video revisits the question of whether Google AI Studio has killed other IDEs and app builders.
While it significantly simplifies development, tools like Cursor AI are still necessary for certain aspects, suggesting an evolution rather than obsolescence.
The core shift is towards hiding code and focusing on prompting AI models, making app creation accessible to a wider audience.
The term "vibe code" is highlighted from the platform's creators as indicative of their direction.

"Coding isn't what it used to be. You don't actually need to know what's happening in the file anymore to build real applications. You need to know how to talk to the AI model to get the best outputs."

The Future of Software Engineering and Prompt Engineering [07:14]

The industry is fundamentally changing, benefiting senior software engineers who can effectively communicate with AI models and generate high-quality code.
For novices, "vibe coding" is possible but can be more challenging and time-consuming.
The presenter encourages subscribing for tutorials on effective prompting techniques to achieve good code outputs.
The video concludes by reiterating the power of Google AI Studio in democratizing coding and making it accessible to anyone.