We've shipped 50+ MVPs for US startups. Most took 9–14 days from kickoff call to live URL.
This is the exact workflow we use — no fluff, no theory.
Why Traditional MVP Development Is Broken
The old model: hire devs → 3-month timeline → $50k budget → founders realize the idea needed pivoting → start over.
We've seen this kill startups before they even launch.
The new model: AI vibe coding → working prototype in days → validate with real users → iterate fast.
92% of US developers now use AI coding tools daily. 41% of all global code is AI-generated. The vibe coding market hit $4.7B in 2025.
The shift already happened. Most agencies just haven't caught up.
Our Exact Stack
We use three tools in sequence — each one has a specific job:
Stage 1 — Lovable (Days 1–3)
Full-stack AI app builder. We describe the product in plain English, Lovable generates the React frontend + Supabase backend + auth. No setup time. Working app in hours.
Best for: UI, auth flows, CRUD, database schema, initial deployment.
Stage 2 — Cursor (Days 3–7)
AI-powered IDE. Once the scaffold is live, we switch to Cursor for business logic, API integrations, custom features, and edge cases.
Best for: Complex logic, third-party APIs, performance, anything Lovable can't handle cleanly.
Real Example: Healthcare Patient Portal
Client: US-based telehealth startup
Request: Patient portal with appointment booking + EHR integration
Timeline asked: 6 weeks
Timeline delivered: 11 days
| Day | What We Did |
|---|---|
| 1–2 | Lovable generates patient dashboard, auth, Supabase schema |
| 3–5 | Cursor adds HL7 FHIR API integration, appointment logic |
| 6–8 | HIPAA compliance layer, audit logging, data encryption |
| 9–10 | QA, edge cases, performance testing |
| 11 | Deployed to AWS, client handed keys |
The client had paid $8k previously to an agency for a 3-month engagement that delivered a Figma prototype. We shipped working software in less than 2 weeks.
The Honest Trade-offs
Vibe coding isn't magic. Here's what we've learned after 50+ projects:
Where it excels:
- Standard CRUD applications
- SaaS MVPs with common patterns
- Admin dashboards
- Landing pages with forms
- Internal tools
Where humans must take over:
- Complex business logic with many edge cases
- Payment processing (security-critical)
- Healthcare compliance (HIPAA audit trails)
- High-scale architecture decisions
- Anything where a bug costs real money
AI-generated code has 1.7x higher bug density than human-written code, and 45% contains security vulnerabilities.
This is why our process always includes a senior engineer review before any code ships to production. AI writes the first draft. Humans review, refactor, harden.
The winning formula in 2026: AI speed + human judgment.
The Graduate Workflow
The pattern that works best across all our projects:
Lovable → scaffold (Day 1-2)
↓
Cursor → features + logic (Day 3-7)
↓
Human review → harden + test (Day 8-9)
↓
Deploy → client feedback (Day 10)
↓
Iteration sprint → done
Start with a browser-based builder for speed. Graduate to a professional IDE for precision. Ship only after human review. This is the workflow that lets a 2-person team deliver what used to require 6 people in 3 months.
What This Means for Startup Founders
If you're considering building a product in 2026:
1. Don't spend $100k validating an unproven idea.
Use vibe coding to build an MVP for $5–15k. Validate first. Invest big only after you have real users.
2. Don't hire a 5-person team before you have users.
A small team with AI tools moves faster than a large team without them. We've seen 2-person teams outship 8-person agencies consistently.
3. Don't confuse a vibe-coded MVP with a production system.
Validate with the MVP. Then rebuild properly once you have signal. The founders who win use AI tools to compress the validation phase — then invest properly in the real product.
Our Numbers After 50+ MVPs
| Metric | Result |
|---|---|
| Average delivery | 11 days |
| Average budget | $8,000–$18,000 |
| Faster than traditional | 70% |
| Cheaper than traditional | 60% |
| Client repeat rate | 74% |
The Tools We Use (Full Stack)
| Category | Tool |
|---|---|
| AI Builder | Lovable |
| AI IDE | Cursor |
| Quick Prototypes | Bolt.new |
| Frontend | React, Next.js, Tailwind |
| Backend | Node.js, Python, Spring Boot |
| Database | Supabase, PostgreSQL |
| Mobile | React Native, Flutter |
| Cloud | AWS, GCP, Azure |
| DevOps | Docker, Kubernetes, CI/CD |
Questions I Get Asked Most
Q: Can non-technical founders use vibe coding themselves?
Yes for simple tools. No for production software with real users. The gap between a working demo and a secure, scalable product requires engineering judgment that AI doesn't have yet.
Q: Is the 11-day timeline realistic for any MVP?
For a standard SaaS MVP with auth, dashboard, core feature, and deployment — yes. For something with complex integrations, compliance requirements, or novel architecture — no. We scope carefully before committing to timelines.
Q: What happens after the MVP?
Most of our clients come back for iteration sprints. The MVP validates the idea. The second engagement builds the real product. This is the right sequence — and it's what makes the initial budget worthwhile.
If you're building a startup and want to see this workflow applied to your idea, we do free 30-minute scoping calls.
Happy to answer questions in the comments — particularly around the Lovable → Cursor handoff, which is where most teams trip up.
Peakenza is a software development company specialising in fast MVP development using AI vibe coding for US and UK startups. 50+ MVPs shipped. peakenza.com
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