Gemini 3.0 Designer Is INSANE! Build Beautiful Websites and Apps In Minutes FOR FREE!

Recently, we saw the launch of Gemini 3.0, Google's most advanced AI that's capable of reasoning, multimodal understanding, and agentic workflows. It

can design frontends, build backends, manage databases, and automate apps faster and smarter than ever. Today, I'm

sharing a fully updated guide to building full stack apps easily and cheaply using Gemini 3.0 and AI tools and open-source alternatives, all without writing a single line of code.

We'll start off by using Google Stitch, a free UI design agent that helps you create and redefine productionready components. Then we'll use Google's

components. Then we'll use Google's Anti-gravity, a free AI IDE that's leveraging Gemini 3.0 and its autonomous coding agent that can edit files, run terminal commands, and solve real world

coding tasks. And it's going to stitch

coding tasks. And it's going to stitch all these components together. For

authentication and payments, we'll use O.js and Stripe as the payment gateway.

For the back end, we'll use Tiger Data's Agentic Postgress with the free tier included because it offers a forkable database, persistent memory, and integrated search. Gemini will also be

integrated search. Gemini will also be able to autonomously manage your backend thanks to Tiger Data's customizability, and it will create endpoints and run queries without code. For deployment,

we'll use Versell to host the front end and backend serverless functions, giving you a scalable and zero infrastructure app. Finally, we'll be using MCPs. Tiger

app. Finally, we'll be using MCPs. Tiger

Data's open source MCP server that acts as the control plane. It's going to help manage the back-end workflows and AI automation without complex DevOps. By

the end, you'll have a full stack AI powered application from front end to backend authentication, payments, and deployment. All codef free. [snorts] So,

deployment. All codef free. [snorts] So,

let's now get started and make sure we have all the prerequisites ready. Make

sure you have a Stitch account. This is

where you can simply log in with your Google account and you can sign up with an account completely for free. Then

make sure you have the anti-gravity IDE installed onto your computer. You can

install this for whatever operating system you have and then you can sign up with an account also with your Google account completely for free. You should

also make sure that you have O.js on standby for authentication and make sure you also have a Stripe account set up so that you can collect payments. This is

your payment gateway for the app that you build. Make sure you also have a

you build. Make sure you also have a Tiger Data account. You can create this for free and we're going to be using the free tier with our app. To deploy with Versel, you're going to also need to have an account set up. So, make sure

you also do that. To start off, we're going to be using Stitch. This is your AI UI designer that can thoroughly build out beautiful frontends for you and all

the components with this canvas. It's

super easy to get started and it's completely free, which is why we're using it. Now, what we're going to be

using it. Now, what we're going to be building is an AI course website. You

want to write up a prompt, and you want to be as detailed as possible, what sort of front-end design you want, what sort of color palette you're looking for, and you can even attach sketches, mockups,

or visual inspiration, and you can use the pro model completely for free. And

once you are ready, you can then send in your prompt, and Stitch is going to build out the components that you're looking for. And you can see that it is

looking for. And you can see that it is now working on the components. And this

is a great start. You can make this a lot better. And what you actually can do

lot better. And what you actually can do is if you scroll down, I have already started working on other iterations. And

this is where you can be as creative as possible cuz you can actually annotate to edit. So if there's a certain section

to edit. So if there's a certain section that you want to edit, you can chat with the AI to build components even better, change the actual text, as well as applying new changes to the color

palette. and it's an infinite canvas

palette. and it's an infinite canvas that'll let you generate more. Now, in

my opinion, this does not look as the quality that I'm looking for. So, I'm

going to work on generating more iterations and seeing if I can get another prompt to build the right components I'm looking for. So, I'm

getting closer and closer with the canvas, and you can see that I'm just generating multiple frontends, and now we're getting to a more refined look.

This is something that is now getting a better generation at. I'm going to keep on making it better. It looks a little too big and clunky. So, I'm going to keep working on it and maybe even add

animations to it, which I can do with my coding agent. And there we go. Just take

coding agent. And there we go. Just take

a look at the quality of output. I use

Gemini 3.0 within the coding agent to refine my front end from Stitch and it is looking a lot better. This is where it took out the clunkiness and it was

able to refine every component even better. This is the front end for our

better. This is the front end for our course website and it's something that we're going to be working on even further. And what I did was really

further. And what I did was really simple. I exported the code where I was

simple. I exported the code where I was able to export as a zip file and I took all the components, the front-end components and then I used the new

anti-gravity IDE to help me work on building out a better component library for this where I added animations and I refined the overall look with the chat panel. And you can use this completely

panel. And you can use this completely for free. And this is what we're

for free. And this is what we're actually going to be using to now connect everything where we're going to be using it to build out the backend functions and use it to thoroughly refine the front end even further. But

now that we have gotten the front-end files and we have a beautiful landing page for our app as well as something that our agent can reference to build out the other components, we can have

the anti- agent actually work on creating a project rule set. This is

where I wanted to thoroughly work on creating a rule set that focuses on using our authentication tech. And the

reason why you want a rule set being developed is because this is where we want the AI agent to thoroughly follow each and every rule that we're

requesting. So this is where it's going

requesting. So this is where it's going to develop that rule set for us. You can

obviously use AI to create that rule set which is what I'm doing right now. And I

am just simply requesting it to create the project rules for anti-gravity's AI agent to follow. And you can see that it has now done a great job in creating the

implementation plan for our AI agent to follow. The goal is to create the front

follow. The goal is to create the front end and all the components for our AI course website while keeping the text stack in mind, making sure that it uses all the components that we're looking

for. But it is also asking for our

for. But it is also asking for our review beforehand where we're going to need to now work on implementing the environment keys within the environment file. And we're also going to need to

file. And we're also going to need to set up our tiger data and our agentic process database. This is where we can

process database. This is where we can now go over to tiger data. And since you have already created an account with the free tier, we can now use the agentic

process within tiger data to work on creating our cloud database. You can now press create service and you can create this new agentic postcrest database

within tigercloud. This is a fully AI

within tigercloud. This is a fully AI native designed for agents to communicate, learn and operate safely.

And by choosing this free tier, you're going to be able to now get started without a credit card which is just insane. And with Tigercloud, you can

insane. And with Tigercloud, you can generate the secure credentials like username, password, host or database name, which you see over here. And then

we can connect it with anti-gravity easily as you can simply specify the string within the environment file. That

is something that you can easily plug directly into our app and it is something that will now have the agent create the tables, store data, run queries and even fork the database

safely for testing. And another way you can actually work with integrating Tiger Cloud into your app is using the MCP server. They have a free MCP server that

server. They have a free MCP server that you can get started with right away and essentially you can easily connect it so that you can have the Tiger cloud easily connected through the MCP server with

your application. This setup is going to

your application. This setup is going to enable features like authentication course lesson tracking as well as persistent agent memory and hybrid

search all in one place. So our AI course app is ready to build at scale and immediately. So copy your connection

and immediately. So copy your connection string and the connection informations and we're going to be then having it integrated within the environment file as well as your stripe payment gateway

API key. So make sure you have all of

API key. So make sure you have all of these API keys inputed into the environment variable file and then we can proceed forward where we can then proceed with the implementation plan. So

this is how your env should look. You

can then replace the database URL O secret the stripe keys. But something

cool about tiger data is that you also have it so that you can fork databases.

So if I have to fork the services, you can have it so that you can run this zero copy branch of your production database, which is really intelligent in my opinion cuz this is going to let you

test experiments with safety because you can test out schema changes or destructive queries that could be harmful to your overall code base. You

can run multiple agents in parallel without touching production or even merge or discard changes later. Think of

it like a git for your database. You can

simply do this directly from Tiger Cloud or by using the Tiger CLI. And it's

really simple. You can use the curl install script and you can then log in using the O command. And then after logging in with Tiger, you can then work

on all of these commands like having it list your database services. You can

create a new database service itself.

This is where I can use all the Tiger CLI commands and I can have it so that I can get a live preview like testing out the database where I can select uh now

or a current timestamp which it showcases. I can also create a table

showcases. I can also create a table directly from my CLI which is perfect.

And you can even insert sample data directly from the CLI. Now, since my course app actually uses Stripe, I wanted to create a table for my payments. And this is where I can test

payments. And this is where I can test out this table where I told it to have it so that it logs the serial primary key, the user initialization, the

numeric value as well as status. Or you

can even connect to your database and install the MCP server. This is where you can use this MCP server so that it enables AI assistance like even

anti-gravity or something like cloud code to interact with the tiger cloud infrastructure. Also another thing is is

infrastructure. Also another thing is is that tiger data just open source their MCP server that feeds AI coding assistants like cloud code and cursor with trusted postgress docs as well as

best practice templates and it lets them generate correct idomatic SQL instantly.

It's free, communitydriven and built by the Postgress developers for Postgress developers. Now, all we got to do is

developers. Now, all we got to do is basically go back into anti-gravity and then proceed forward with this implementation plan cuz we have set our API keys and our environment variables

and we have specified the database schema. We also tested it out with the

schema. We also tested it out with the forkable database. All we got to do now

forkable database. All we got to do now is have it work on developing this implementation plan where fully build it out so that it is a fullon functional

application. Now you can see that it is

application. Now you can see that it is working on coding out all the components that we had requested. And it looks like the Gemini agent within anti-gravity was

able to fully build out all the components of our app. And just take a look at this from generating the UI sketches with Stitch. It was able to

build this fullon functional website for us which looks absolutely amazing. The

front end looks amazing. There's actual

animations to all these components. You

also have the ability to access this uh payment gateway, the Stripe payment gateway that we had requested where you can actually interact directly with

Stripe right over here. You also have it so that if you go over to the credentials, the O system is now working. So this is where you can log in

working. So this is where you can log in with GitHub as well as with Google. So I

can simply go ahead and initiate a session here. After logging in, it'll

session here. After logging in, it'll then send you over to the course website and this is essentially where you can now upload your course contents and then you can have it so that you can access

this AI chat to interact with it. So if

I want I can say something like hi and we will actually get a real response back from the chatbot. Now, this is a really cool component where you have resources that you can upload as well as

your own notes and a progress of all of the different courses that are there for our website. Overall, it did a

our website. Overall, it did a remarkable job in creating a beautiful front end as well as a fullon functional backend thanks to this tech stack. If

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can access multiple subscriptions to different AI tools for free on a monthly basis, plus daily AI news and exclusive content, plus a lot more. But that's

essentially how you can go from an idea to reality using these text stacks from using something like anti-gravity all the way to something like tiger data. We

were able to connect it to a Postgress database, leverage the forkable infrastructure and set up an AI ready table so our agents can safely build and

manage this app. And with tools like the MCP as well as this free tier makes it super easy. Using Versell for

super easy. Using Versell for deployment, using Stripe as a payment gateway as well as OJS for the authentication. All of these tools help

authentication. All of these tools help us in so many ways and using the free capabilities helps us build actual applications in a time where most of these tools and apps are usually paid.

Now, that's basically it guys for today's video. I'll leave all these

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