create-nifra

Scaffold a new nifra app.

bun create nifra my-app
# or:  npm create nifra my-app

Templates

--template <name> (default api):

• api - a typed nifra server (src/app.ts + src/index.ts) with an example test and dev/start/test/typecheck scripts.
• site - the full-stack template: a nifra + React SSR site (file-routed frontend + typed backend.ts), one source deployable to Cloudflare Pages, Node, Deno, or Vercel Edge. Pick the frontend with --framework react|preact|vue|solid|svelte.
• isr - a nifra + React app with Incremental Static Regeneration on Cloudflare Workers + KV (pages cached + served stale-while-revalidate; on-demand purge endpoint).
• batteries - the api starter plus the batteries a real API needs: background jobs (@nifrajs/jobs), a TTL cache (@nifrajs/cache), blob storage (@nifrajs/storage), and cursor pagination (@nifrajs/schema).

bun create nifra my-app --template isr

Then:

cd my-app
bun install
bun run dev

MIT.

For AI agents

Start with LLM.md - this package's contract card (the exports you call + its footguns), one cheap read instead of the whole corpus. For the wider framework: the repo's AGENTS.md is the copy-paste quick reference, and llms-full.txt is the full machine-readable corpus. Run nifra check as the done-gate, or nifra mcp to give the agent live project tools.