The Engine of Light Speed

Yes, but we'll honestly advise if it's the right choice.

We're flexible when:

• You have existing infrastructure (AWS, etc.)
• Your team has specific expertise (React Native)
• Regulatory requirements (on-premise, specific DB)

We'll push back when:

• Your choice will slow development (Java for MVP)
• It increases costs significantly (AWS vs Vercel)
• It limits our AI-augmented workflow

Our job: Deliver fast, quality MVPs. Sometimes that means challenging your tech preferences.

We can do Python/FastAPI for specific use cases:

• Heavy data processing
• Machine learning integration
• Scientific computing

But for typical CRUD MVPs, TypeScript + Next.js is 3x faster to develop and cheaper to host.

We'll build in Python if you insist, but we'll recommend TypeScript first.

We do, when it makes sense (complex data requirements, mobile app with limited bandwidth).

But for most MVPs:

• REST is simpler (less learning curve)
• TypeScript + tRPC gives type safety without GraphQL
• Faster to ship (no schema definition overhead)

GraphQL is great at scale. For MVPs, it's often premature optimization.

Maybe. We evaluate new tech constantly, but we have strict criteria:

• Proven in production (1+ years)
• Active community (not a ghost town)
• Good developer experience (AI tool support)
• Clear upgrade path (won't be deprecated soon)

Example: We adopted Next.js 13 App Router after 6 months of stability. We didn't jump on day 1.

For client projects, we use battle-tested tech. We experiment on internal projects first.

Our default is serverless (Vercel, Supabase) because:

• Zero DevOps (we focus on features)
• Auto-scaling (handle traffic spikes)
• Pay-per-use (cheaper for MVPs)

We use traditional servers (Railway, AWS EC2) when:

• Long-running processes (>15 seconds)
• WebSockets required
• Complex deployment requirements

For 80% of MVPs, serverless is faster and cheaper.

We use migration tools (Prisma Migrate, Supabase migrations) and follow strict practices:

• Never destructive migrations in production
• Always backward compatible
• Test on staging first
• Automated rollback plan

Database changes are version controlled alongside code.

The stack we recommend scales to 100K+ users before needing major changes.

When you hit that scale:

• You'll have raised funding (money for migration)
• You'll have hired engineers (team for rebuild)
• You'll have validated PMF (worth the investment)

Migration cost: $50-100K typically. But you'll be at $1M+ ARR by then, so it's affordable.

Starting with "enterprise scale" stack at MVP stage means you'll spend 6 months building what could take 6 weeks. That's the real risk.

Absolutely. You own everything:

• Complete source code (GitHub repo)
• Full documentation (architecture, setup, deploy)
• Database schema documentation
• API documentation (if applicable)
• Environment variable templates
• Deployment guides

We do 1-2 hour knowledge transfer session, then your team (or new developers) can take over.

Yes. Options:

• Retainer (monthly fee, X hours included)
• On-demand (hourly, as-needed)
• Part-time CTO (strategic + hands-on)

Most clients:

• Use 90-day included support (Investment-Grade)
• Then hire their own team
• Call us for major features/refactoring

We're happy to be your long-term partner or hand off cleanly—your choice.