My full vibe coding workflow to build MVPs faster I don’t use...
Prajwal Tomar@PrajwalTomar_
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Sep 26, 2025
~3 min read
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My full vibe coding workflow to build MVPs faster
I don’t use Figma.
I don’t write every line of code.
I don’t need big teams.
Here’s the exact AI-powered system I use to plan, build, and launch real MVPs in 3 weeks for clients ↓
I don’t use Figma.
I don’t write every line of code.
I don’t need big teams.
Here’s the exact AI-powered system I use to plan, build, and launch real MVPs in 3 weeks for clients ↓
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1. Plan using ChatGPT
Before building, I plan fast:
- ChatGPT voice to brainstorm the client idea
- Generate docs (PRD, UI Dev Plan, DB design)
- MoSCoW Method to define essentials
This gives:
- A clear feature list
- A lean scope
- Zero ambiguity
Before building, I plan fast:
- ChatGPT voice to brainstorm the client idea
- Generate docs (PRD, UI Dev Plan, DB design)
- MoSCoW Method to define essentials
This gives:
- A clear feature list
- A lean scope
- Zero ambiguity
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2. Skip traditional design, go straight to dev
Most devs waste weeks designing in Figma.
I use @lovable instead.
It:
- Turns text into full responsive UIs
- Connects real data
- Handles auth, forms, routing
Build 70-80% of your MVP inside Lovable, depending on the complexity of your project, and then switch to cursor/claude code.
Most devs waste weeks designing in Figma.
I use @lovable instead.
It:
- Turns text into full responsive UIs
- Connects real data
- Handles auth, forms, routing
Build 70-80% of your MVP inside Lovable, depending on the complexity of your project, and then switch to cursor/claude code.
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3. If design is needed, use UX Pilot
I usually skip design. But when clients want visuals first, I use UX Pilot.
It:
- Generates hi-fi screens from prompts
- Maps out full user flows
- Lets us adjust branding, colors, layouts in minutes
This way, we can show polished screens fast without wasting weeks in Figma.
I usually skip design. But when clients want visuals first, I use UX Pilot.
It:
- Generates hi-fi screens from prompts
- Maps out full user flows
- Lets us adjust branding, colors, layouts in minutes
This way, we can show polished screens fast without wasting weeks in Figma.
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4. Sync to GitHub → Continue in Cursor
Lovable syncs everything to GitHub.
Then I open the repo in @cursor_ai, my AI IDE.
Cursor:
- Understands the full codebase
- Makes edits across files
- Writes and optimizes backend logic
- Refactors APIs, improves performance
It’s like having a 10x junior dev on command.
Lovable syncs everything to GitHub.
Then I open the repo in @cursor_ai, my AI IDE.
Cursor:
- Understands the full codebase
- Makes edits across files
- Writes and optimizes backend logic
- Refactors APIs, improves performance
It’s like having a 10x junior dev on command.
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5. Use MCP to automate migrations + schema updates
Model Context Protocol (MCP) connects Cursor to Supabase in real time.
With MCP:
- Cursor queries the live DB schema
- Generates and applies migrations
- Updates models without manual SQL
This kills 80% of backend grunt work.
Model Context Protocol (MCP) connects Cursor to Supabase in real time.
With MCP:
- Cursor queries the live DB schema
- Generates and applies migrations
- Updates models without manual SQL
This kills 80% of backend grunt work.
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7. Use CodeRabbit for code reviews
CodeRabbit vibe-checks my code before shipping.
It:
- Flags security issues early
- Spots bloated or messy code
- Suggests cleaner, scalable patterns
I run reviews in Cursor during dev, and again at the GitHub PR stage. Clean, secure code every time.
CodeRabbit vibe-checks my code before shipping.
It:
- Flags security issues early
- Spots bloated or messy code
- Suggests cleaner, scalable patterns
I run reviews in Cursor during dev, and again at the GitHub PR stage. Clean, secure code every time.
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8. Supabase for backend, auth, and realtime
I use @supabase to avoid backend pain:
- Built-in Auth (OAuth, Magic Links)
- RLS for secure access
- Postgres DB with instant scale
- Edge Functions for serverless logic
- Storage + file uploads
I use @supabase to avoid backend pain:
- Built-in Auth (OAuth, Magic Links)
- RLS for secure access
- Postgres DB with instant scale
- Edge Functions for serverless logic
- Storage + file uploads
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9. Take security seriously
Before launch, I follow a simple checklist:
- Enable Row-Level Security
- Add rate limiting
- Use CAPTCHA on auth forms
- Keep API keys hidden
- Validate everything server-side
- Use coderabbit
Build fast, build safe.
Before launch, I follow a simple checklist:
- Enable Row-Level Security
- Add rate limiting
- Use CAPTCHA on auth forms
- Keep API keys hidden
- Validate everything server-side
- Use coderabbit
Build fast, build safe.
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10. Deploy in minutes with Vercel
No CI/CD headaches.
@vercel:
- Auto-syncs from GitHub
- Global CDN for instant scale
- Serverless backend functions
- No manual configs
Client gets a live product in Week 3.
No CI/CD headaches.
@vercel:
- Auto-syncs from GitHub
- Global CDN for instant scale
- Serverless backend functions
- No manual configs
Client gets a live product in Week 3.
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12. The result: A working MVP in 3 weeks
With this workflow I’ve:
- Built 40+ MVPs solo or with a small team
- Scaled @ignytlabs to $200K+
- Helped founders validate ideas without spending $10K–$20K upfront
With this workflow I’ve:
- Built 40+ MVPs solo or with a small team
- Scaled @ignytlabs to $200K+
- Helped founders validate ideas without spending $10K–$20K upfront
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You don’t need big teams or endless planning.
You need a workflow that mixes:
- Cursor (AI IDE)
- Lovable (UI builder)
- UX Pilot (optional design)
- Supabase (backend)
- Vercel (deploy)
- CodeRabbit (reviews)
- ChatGPT (planning)
This is Vibe Coding. Learn it, and you’ll build faster, smarter, and cleaner.
Bookmark this if you’re serious about shipping MVPs with AI.
You need a workflow that mixes:
- Cursor (AI IDE)
- Lovable (UI builder)
- UX Pilot (optional design)
- Supabase (backend)
- Vercel (deploy)
- CodeRabbit (reviews)
- ChatGPT (planning)
This is Vibe Coding. Learn it, and you’ll build faster, smarter, and cleaner.
Bookmark this if you’re serious about shipping MVPs with AI.
