/projects/codexapptemplate
A production-grade starter monorepo for building Next.js, iOS, Android, macOS, AI applications, terminal IDE tools, shared APIs, and MCP/FastMCP services with quality guardrails and setup automation.
AI app teams often start from fragmented repos: one web app, one mobile app, separate APIs, ad hoc MCP tools, and no shared quality gates.
Awesome Codex App Template provides a production-shaped monorepo starter with Next.js, Expo, FastAPI, FastMCP/MCP, Supabase, shared packages, setup automation, and validation commands.
A useful starter has to be opinionated without being rigid: it must support web, native, backend, agent tools, data, and quality workflows without hiding the seams.
The template treats agent-app scaffolding as a full product system. MCP services, native clients, web apps, APIs, storage, and quality gates are designed together from the first commit.
This demonstrates Stefan's ability to convert repeated AI product lessons into reusable engineering infrastructure for cross-platform teams.
Awesome Codex App Template is a reusable architecture artifact. It packages the recurring shape of modern AI products: web, native, backend, MCP tools, shared packages, data, setup, and quality gates.
AI products increasingly span web, iOS, Android, desktop, APIs, and terminal tools. Starting from a monorepo keeps those surfaces from drifting immediately.
AI SDK and FastMCP lanes make chat and tool protocols part of the starter instead of bolt-ons added after the product has already split into separate repos.
Shared packages prevent schemas, UI primitives, auth assumptions, and API clients from diverging across apps. That is especially important when agents call the same backend tools.
Setup automation, lint, typecheck, tests, and deployment scripts create a higher baseline for new work. The template is a way to encode engineering taste into the starting point.
Coordinates shared contracts across apps, packages, and agent surfaces.
Provides the default web app lane for full-stack AI products.
Adds iOS and Android without splitting the product into unrelated repos.
Gives Python-heavy AI services a typed HTTP backend lane.
Makes tool surfaces available to agent clients and IDEs.
Covers auth, Postgres, storage, and realtime product state.
Keeps product apps and shared packages in one maintainable structure.
Provides a modern web app surface for AI products.
Adds mobile lanes for iOS and Android.
Supports Python AI and backend workflows.
Packages tools for MCP-compatible agents.
Gives apps auth, Postgres, and storage from the start.
Pins lint, typecheck, tests, and consistency checks into the starter.
Reduces bootstrapping friction for new agent products.