The question we get most often: how do you build production-ready SaaS products in under 3 weeks?
The answer isn't magic. It's a combination of an opinionated tech stack, AI-augmented workflows, and a process we've refined over 100+ projects.
The Stack
We don't reinvent the wheel. Every project starts with the same foundation:
- —Next.js 14 (App Router) — no other framework comes close for SSR, routing, and API routes in a single codebase
- —TypeScript — always. The time it saves in debugging pays for itself 10× over
- —PostgreSQL + Prisma — type-safe queries, easy migrations, Supabase or Neon for hosting
- —NextAuth.js — auth in 2 hours, not 2 days
- —Stripe — subscriptions, webhooks, and customer portal out of the box
- —Resend — transactional email that actually lands in the inbox
- —Vercel — deploy on push, zero ops overhead
This stack handles 95% of SaaS products. When you don't waste time evaluating tooling, you ship faster.
The AI-Augmented Workflow
Here's where it gets interesting. We use AI at every stage of the build:
Architecture phase: We describe the product requirements to Claude and iterate on the schema, API design, and component architecture. This phase used to take 2–3 days. Now it takes 4 hours.
Implementation: We use Cursor for code generation, with our internal system prompt that enforces our conventions. First drafts come out at ~80% quality. Human review and refinement gets them to production-grade.
Testing: AI-generated test cases for edge conditions we'd otherwise miss. Not replacing human testing — augmenting it.
Documentation: Auto-generated from code comments and commit messages. Nobody wants to write docs. Now nobody has to.
The Result
Our average project now takes 2–4 weeks from kick-off to production deployment. Before AI tooling, that was 8–12 weeks.
The quality hasn't gone down. If anything, it's gone up — because we have more time to focus on the things that actually matter: architecture decisions, UX refinement, and making sure the product actually solves the problem.
The companies that figure out how to augment their workflows with AI aren't just faster. They're building a compounding advantage that gets wider every quarter.
The question isn't whether AI will change how we build software. It already has. The question is whether you're moving fast enough to benefit from it.