A Production-Ready Monorepo for AI-Native Full-Stack Development

#webdev #vibecoding #programming #ai

Andrej Karpathy recently wrote: “If you properly connect the things that emerged over the past year, they could easily become 10× more powerful.”
At the same time, we’re being handed agents, sub-agents, prompts, context, MCP, workflows—tools dropped on us without a manual.

Ashok, Tesla’s CTO, also said: “Everyone is a CEO now.”
In other words, we’ve entered an era where a single developer can build a full-stack product end to end.

Both statements are true. Spinning up a service with a few clicks has become easy. But building software that humans and AI can review together—and that remains maintainable over time—is still hard. To truly leverage these tools, you need a solid foundation first.

I’m open-sourcing the foundation I built while developing AI-driven services as an AI SWE. Compared to starting from scratch, it should save you roughly two weeks.

Tech Stack

Web: Next.js 16, React 19, TailwindCSS v4
API: FastAPI, async SQLAlchemy, PostgreSQL
Mobile: Flutter 3.38, Riverpod
Infra: Terraform, GCP (Cloud Run, Cloud SQL)
CI/CD: GitHub Actions + Workload Identity Federation (keyless)
Observability: OpenTelemetry

Why This Matters

The quality of AI-generated code varies widely by model.
A well-designed template provides clear patterns for AI to follow, while strict linting and CI act as guardrails.

Key Features