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Scaffold AI-development-ready FastAPI projects: pinned upstream template plus Claude Code skills, MCP config, and design docs

Project description

dev-ready

Scaffold a production-grade, AI-development-ready FastAPI + React project in one command:

uvx dev-ready init my-app

The upstream template is pinned to a CI-verified commit (never an untested "latest"), and generation is all-or-nothing — if any step fails, your target directory is never touched.

What you get

A generated project based on fastapi/full-stack-fastapi-template (FastAPI, React, SQLModel, PostgreSQL, Docker Compose), plus an AI tooling overlay so it works well with coding agents out of the box:

  • CLAUDE.md — project instructions for Claude Code
  • Claude Code skills (e.g. project orientation)
  • MCP server configuration (mcp.json)
  • Design-doc templates (architecture.md, requirements.md)
  • Agent-team handoff scaffold (docs/handoffs/ — a document-driven multi-agent workflow: Tech Lead → Senior → Junior → QA/Security/SRE)
  • Generation stamp — every generated project gets a .dev-ready.json recording the dev-ready version, selected components/items, and pinned upstream commit
  • Pinned tool integrations — optional, selectable MCP and skill items: a codebase-memory MCP server (uvx codebase-memory-mcp) and a react-doctor frontend wrapper skill + devDependency
  • item-level selection — pick individual items inside the skills and MCP components, not just the whole component

Every generated project also gets its own README.md (the upstream template's repo README and other repo-maintenance files — CONTRIBUTING.md, release notes, deploy workflows, screenshots — are pruned, so nothing template-repo-specific leaks into your project).

Requirements

  • Python >= 3.12 (uv can install this for you automatically)
  • git (Copier fetches the pinned template via git)
  • Network access to github.com (to fetch the pinned template snapshot)
  • Docker is not required to generate a project — only to run the generated one

Installation

No install needed with uv (any recent version):

uvx dev-ready init my-app

Or install with pip (requires Python >= 3.12):

pip install dev-ready
dev-ready init my-app

Usage

# Interactive: prompts for anything not given on the command line
uvx dev-ready init

# Non-interactive: accept all defaults, no prompts
uvx dev-ready init my-app --yes

# Options
uvx dev-ready init my-app \
  --dir path/to/target \    # default: ./my-app
  --skills <ids|all|none> \ # choose individual skills (default: all)
  --mcp <ids|all|none> \    # choose individual MCP servers (default: all)
  --no-skills \             # skip the Claude Code skills overlay
  --no-mcp \                # skip the MCP configuration overlay
  --no-docs \               # skip the design-doc templates
  --no-agents               # skip the agent-team handoff scaffold

Then follow the printed next steps (typically docker compose watch inside the generated project).

Exit codes: 0 success; 1 unexpected error or user abort; 2 argument error; 3 network/fetch failure; 4 target directory conflict; 5 structural verification failure.

How it works

The CLI ships with a lockfile (manifest.json) pinning the upstream template commit. Generation fetches that exact snapshot, applies the overlay with variable substitution, verifies the result structurally — all inside a staging directory — and only then moves it into the target. The pin is kept current by a weekly CI job that opens bump PRs, each validated by actually generating and booting a project with Docker Compose.

Links

License

MIT. Generated projects include content derived from fastapi/full-stack-fastapi-template (MIT); see THIRD_PARTY_NOTICES.md.

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