The landscape of software development is undergoing a revolution, shifting from human-centric coding to Agent-First Development. At the forefront of this change is Google Antigravity IDE, an intelligent platform that empowers developers to delegate complex, multi-step tasks to autonomous AI agents. This post walks through a live demonstration of building a complete full-stack application—Angular Frontend, Spring Boot Middleware, and MySQL Backend—using simple, goal-oriented prompts within the Antigravity environment.
Please feel to refer the below article before moving for Google Antigravity IDE handson expereince.
The Agent-First Paradigm
Traditional IDEs focus on accelerating the manual act of coding. Antigravity, powered by models like Gemini 3 Pro, acts as a mission control for software development. Agents are given high-level objectives and autonomously handle the planning, execution, coding, terminal commands, debugging, and verification across the entire stack. This elevates the developer from coder to architect and supervisor.
Key Features of Antigravity:
Autonomous Planning & Execution: Agents create detailed task lists and implementation plans that can be reviewed and approved.
Multi-Surface Control: Agents operate directly within the editor, terminal, and even an integrated browser for end-to-end task completion and visual verification.
Artifacts for Trust: Instead of overwhelming log files, agents produce verifiable deliverables like screenshots, code diffs, and browser recordings for quick review.
Project Setup: Angular, Spring Boot, and MySQL
Our goal is to create a basic authentication system (Login, Signup, Forgot Password) using a common enterprise stack.
The Stack:
Frontend: Angular (UI responsive)
Middleware: Spring Boot Microservice (REST APIs)
Backend: MySQL Database (Data Persistence)
Before starting, ensure you have the Google Antigravity IDE, JDK (for Spring Boot), and MySQL installed.
Step 1: Frontend Generation with a Single Prompt
We begin by instructing the Antigravity agent to scaffold the entire Angular frontend.
Prompt for Frontend:
Create an ui responsive angular application that provide the login functionality along with signup and reset-password. This ui will consume rest api expose by the url given below /api/auth/login, /api/auth/signup, /api/auth/reset-password
The agent will analyze this prompt, generate the necessary Angular components, routing, and services to interact with the specified REST API endpoints.
Step 2: Backend & Middleware Setup
Next, we prompt the agent to create the corresponding backend microservice.
Prompt for Backend:
After this create a springboot application that expose follwing rest api /api/auth/login, /api/auth/signup and /api/auth/reset-password to external application. This springboot application interact with mysql database to perform this operations.
The agent will set up the Spring Boot project, configure dependencies (JPA, MySQL Connector, Web), create controllers, services, and repository layers, and scaffold the REST endpoints as requested.
Step 3: Database Schema Creation
A crucial step in full-stack development is database provisioning. We can instruct the agent to generate the necessary SQL schema.
Initial Prompt for Schema:
create schema.sql that will create the required sql user and table in database.
If the generated file is initially empty or insufficient (as it often is in simple first attempts), the power of the agent comes in with modification commands.
Prompt for Schema Modification (Refinement):
modify the shema.sql with my sql code that create database with name siddhuai and alsocreate user with name root and password as password and grant all the privilages to this root user and als oreate a table name as user with field like id, username, password, email, and keep the id and primary key inside this database siddhuai
This demonstrates the iterative refinement capability of the agent, where natural language can be used to modify generated code directly.
Execution and Debugging
Once the codebase is generated, the agent often provides the commands needed to run the application, visible directly in the workspace.
Running the Application
Middleware Start: C:\antigravity-workspace\backend>mvn spring-boot:run Right-click on the AuthApplication and click run is an even simpler, IDE-native way to execute this.
Frontend Setup & Start: C:\antigravity-workspace\frontend>npm install C:\antigravity-workspace\frontend>npm start
Autonomous Debugging
One of the most powerful features of Antigravity is its debugging capability. If an error occurs in the terminal during execution, you can simply select the error text and use the “Chat option.” The agent will analyze the stack trace, identify the root cause, propose a fix, and often ask for permission to execute the fix command itself.
Use Cases and Verification
The final step is to verify the application functionality across common user journeys. The agent can monitor the browser and capture Artifacts to confirm success.
Use Case 1: Create a New User (Signup): Verifying that the Angular UI successfully sends a request to the Spring Boot endpoint, which in turn persists the new user record in the MySQL database.
Use Case 2: Login with Existing User: Verifying end-to-end authentication flow.
Use Case 3: Forgot Password: Verifying the UI and backend logic for initiating a password reset.
This full-stack build demonstrates how Google Antigravity shifts the developer’s role from writing boilerplate code to defining the architecture and supervising the agents. The future of development is truly agent-first.
The complete code for this workspace can be found on GitHub:
https://github.com/shdhumale/antigravity-workspace.git
In next example we will try modify the ui usig design.json file created by using some other sites.
Note:- Make sure to login to Google Antigravity using key created from google ai studio.
No comments:
Post a Comment