AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
Type-safe Convex framework with a tRPC-style server API, Drizzle-style ORM, and TanStack Query client integration.
• cRPC procedure builder (kitcn/server)
• Drizzle-style ORM for Convex (kitcn/orm)
• React + TanStack Query integration with real-time updates (kitcn/react)
• Next.js server helpers for RSC/auth (kitcn/auth/nextjs, kitcn/rsc)
• Better Auth adapter utilities (kitcn/auth, kitcn/auth/client, kitcn/auth/config, kitcn/auth/http)
• Rate limiting plugin (kitcn/ratelimit)
• CLI with codegen, registry, runtime analysis (kitcn bin)
Then follow the Quickstart.README 전문 보기 ↗Type-safe Convex framework with a tRPC-style server API, Drizzle-style ORM, and TanStack Query client integration.
kitcn/server)kitcn/orm)kitcn/react)kitcn/auth/nextjs, kitcn/rsc)kitcn/auth, kitcn/auth/client, kitcn/auth/config, kitcn/auth/http)kitcn/ratelimit)kitcn bin)npx kitcn@latest init -t next --yes
Then follow the Quickstart.
bun install
bun typecheck
bun run test
bun run lint
See CONTRIBUTING.md for the PR workflow.
The canonical reference app lives in example. It demonstrates current best-practice usage across auth, cRPC, ORM, HTTP routes, and TanStack Query.