Vibe-Code an App With AI Agents
Prompt-first development: generate the app, iterate with agents, review and host it.
This workflow turns a vague app idea into a fully deployed product using AI agents at every stage. You start by describing your app in plain English, and each tool builds on the previous one: Lovable generates a solid foundation, Bolt.new lets you run and iterate live, Claude Code handles deep custom coding, CodeRabbit reviews for quality, and Replit deploys the final result. The combination works because each tool excels at a specific phase—from rapid prototyping to rigorous review to one-click hosting—so you don't have to context-switch or manually fix gaps. This is for developers who want to ship fast without sacrificing code quality, and for non-coders who can guide AI through each step.
The workflow, step by step
- 1
Generate the initial app from a prompt
LovableLovable converts your natural language description into a production-ready app skeleton with UI and logic. It's the fastest way to go from idea to tangible code, beating alternatives by generating a cleaner starting point that's easier to iterate on.
Hand-off → A functional app skeleton with UI and basic logic, ready for refinement.
- 2
Run and iterate the app live
Bolt.newBolt.new lets you immediately run the app in a live preview and make changes with AI. Unlike static generators, it handles full-stack updates on the fly, so you can test and tweak interactions in real time.
Hand-off → A live, runnable full-stack app that you've tested and adjusted.
- 3
Deep-code custom features with agents
Claude CodeClaude Code works in your terminal or IDE as an agentic assistant, ideal for complex logic, API integrations, or refactoring that the earlier tools couldn't handle. It gives you fine-grained control while still being AI-driven.
Hand-off → A codebase with custom implementations and cleaner architecture.
- 4
Review code with automated AI feedback
CodeRabbitCodeRabbit provides detailed PR reviews that catch bugs, security flaws, and style issues. This step is crucial before deployment to ensure the AI-generated code is production-quality and maintainable.
Hand-off → A reviewed pull request with fixes applied, ready for final deployment.
- 5
Deploy and host the final app
ReplitReplit offers a browser-based IDE with one-click deployment, making it the simplest way to get your app online. It handles hosting and scaling so you can share a live URL immediately.
You end with: A hosted, working app accessible online.
What this stack costs per month
- Lovablefreemium, pricing not published
- Bolt.newfrom $25/mo · free tier
- Claude Codefrom $20/mo
- CodeRabbitfrom $24/mo
- Replitfreemium, pricing not published
Computed from each vendor's published monthly prices as we last verified them — tap a tool for its full pricing breakdown and price history.
All tools in this stack
Lovable
AI app builder that turns natural-language prompts into production-ready React a...
4.2
AI coding
Free tier; $25/mo Pro
Bolt.new
StackBlitz's AI web builder that generates, runs, and deploys full-stack apps en...
4.3
AI coding
Free tokens daily; $20/mo Pro
Claude Code
Anthropic official CLI for agentic coding in your terminal with full project con...
4.9
AI coding
$0.01-0.05/task
Frequently asked questions
How much does this entire workflow cost?
You can start free on all tools, but full features require paid plans. Lovable free tier is limited in credits; Bolt.new and Replit offer generous free tiers. Claude Code costs $20/month and CodeRabbit starts at $12/month. Total cost for a single app can be as low as $0 if you stay within free limits, but expect $30-50/month for heavy use.
Can I use free alternatives for any step?
Yes, but each replacement has trade-offs. For generation, you could use ChatGPT + manual coding instead of Lovable. For debugging, use Cursor's free tier instead of Claude Code. Free code review tools like SonarCloud exist but require setup. Replit's free tier is sufficient for small apps.
Where should I start if I'm a complete beginner?
Start with Lovable. Describe a very simple app (like a to-do list) to learn how AI interprets your prompts. Then follow the workflow step by step. Don't skip the review or deployment steps—they teach you how to validate and launch.
What common mistakes should I avoid?
The biggest mistake is skipping the review step—AI code can have subtle bugs. Another is not iterating enough in Bolt.new before moving to Claude Code. Also, avoid vague prompts; be specific about features and user flow.
What if I only have a vague idea, not a detailed spec?
Lovable is perfect for this. Start with a high-level prompt like 'Build a habit tracker app' and refine based on the output. Use Bolt.new to experiment and Claude Code to add the missing pieces. The workflow is designed to evolve your idea iteratively.
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