AI-Driven Software Development: Lovable, Claude and Antigravity
AI-Driven Software Development: Lovable, Claude and Antigravity
Learn how to design frontend UIs with Lovable, plan and generate code with Claude, build secure REST APIs with Antigravity, and ship a complete full-stack event platform.
Software development is changing. Learn how to turn ideas into working full-stack apps using AI as your design partner, coding assistant and backend runtime.
This course is built around three cutting-edge AI tools that are reshaping modern software development: Lovable for frontend UI generation, Claude as your AI coding and planning partner, and Antigravity as your AI-powered backend runtime. Instead of spending weeks on boilerplate, setup and repetitive code, you will learn how to move from idea to interface, from interface to API, and from API to a production-ready full-stack application. Across 4 focused modules, 77 lectures and 3 real projects, you will build a frontend dashboard, a secure REST API and a complete event management platform.
Most coding courses teach syntax. This course teaches you how to build software with AI.
You will learn the modern AI-first development workflow from idea to deployed application:
Use Lovable to generate polished React interfaces from plain English prompts
Create responsive layouts, forms, dashboards, navigation and protected UI flows without hand-writing boilerplate CSS
Use Claude as a senior developer partner for architecture planning, debugging, refactoring and security implementation
Use Antigravity to scaffold, run and manage backend APIs with less setup overhead
Build secure user registration and login with password hashing and JWT authentication
Implement event CRUD features, role-based authorization and event registration workflows
Connect frontend apps to live REST APIs with proper error handling and real data fetching
Add image upload, CORS, environment variables, testing, deployment and production polish
Finish with a complete full-stack event platform that proves you can build with AI tools end to end
Master the modern stack
4 modules · 77 lectures
1.1 Welcome & AI-First Mindset
- 1Understand what you will build throughout the course
- 2Learn how AI changes the software development workflow
- 3See the complete roadmap: 4 modules, 3 real projects and 1 capstone
- 4Understand how to use AI as a builder, not just as a chatbot
1.2 Lovable — Frontend UI Generator
- 1Understand what Lovable is and how prompt-to-UI generation works
- 2Set up your Lovable account and workspace
- 3Generate your first UI from a plain English prompt
- 4Learn where Lovable fits inside a modern frontend workflow
1.3 Claude — AI Coding & Planning Assistant
- 1Understand why Claude is useful for development planning and coding
- 2Use Claude for architecture planning, refactoring and debugging
- 3Explore inline chat, sidebar chat and API-style usage
- 4Learn how to ask Claude better development questions
1.4 Antigravity — AI-Powered Backend Runtime
- 1Understand what Antigravity is and how it supports backend development
- 2Set up Antigravity and run your first backend environment
- 3See how Antigravity helps scaffold APIs and manage runtime concerns
- 4Understand how Claude and Antigravity work together for backend work
1.5 Full-Stack AI Workflow
- 1Map the end-to-end flow from idea to UI to API to full-stack app
- 2Understand how Lovable, Claude and Antigravity connect in one workflow
- 3Watch a live walkthrough of the complete AI-powered development loop
- 4Prepare your workspace for the frontend and backend builds
AI Toolchain Setup
Set up Lovable, Claude and Antigravity, generate a small test UI, open Claude for development planning, run Antigravity for the first time and document how the tools connect.
Week 1 assignments
15 hands-on builds. One serious portfolio.
4 phases. 4 production-ready systems.
AI Development Workflow Map
Phase 1 — Toolchain Setup Project
Event Dashboard Frontend
Phase 2 — Lovable Frontend Project
Secure Event Management REST API
Phase 3 — Antigravity + Claude Backend Project
Complete Event Platform
Final Capstone — Full-Stack Lovable + Claude + Antigravity App
You will ship 1 guided capstones — chosen from high-impact tracks
You will graduate with one production-grade capstone system — guided step-by-step by your instructor. The full briefs, blueprints, and starter assets are unlocked the moment you enroll.
Capstone Project Track A
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- Beginners who want to build real software faster with AI tools
- Frontend learners who want to generate polished UI with Lovable
- Aspiring full-stack developers who want to understand frontend, backend and integration together
- Non-designers who want to create beautiful interfaces without manually writing complex CSS
- Developers who want to use Claude for architecture planning, debugging and refactoring
- Startup founders who want to prototype apps quickly using AI-assisted workflows
- Students who want a portfolio-ready full-stack project
- Freelancers who want to build client-ready MVPs faster using AI-powered development tools
- Basic understanding of websites and web apps
- Basic JavaScript knowledge is helpful but not strictly required
- Basic familiarity with APIs is helpful
- No advanced frontend or backend experience required
- A laptop with internet access and ability to create accounts on the required tools
Do not just learn to code. Learn how to build software with AI.
By the end of AI-Driven Software Development, you will know how to use Lovable, Claude and Antigravity together to move from idea to frontend UI, from UI to secure backend API, and from API to a complete deployed full-stack application. You will not only understand the tools — you will have built a real event platform with authentication, roles, CRUD features, image upload and deployment.
You will finish with
- A complete AI-powered development workflow
- 3 real hands-on projects
- 1 complete full-stack capstone
- A deployable event management platform
- A portfolio-ready demo and project case study
Ready to build it for real?
Join Inception 23 Academy and ship production-grade systems in weeks, not months.