AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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正在載入完整 README。 以下為已儲存的摘錄。
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.檢視完整 README ↗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.