This document explains the technical decisions behind choosing TypeScript and a monorepo architecture for this project.
TypeScript transforms your codebase into living documentation. When developers work with your project, their IDE becomes a powerful guide that shows exactly what each function expects, what it returns, and how different parts of the system connect.
// packages/kafka/src/types.ts - Database events are fully typed
export type DatabaseEvent<T> = {
before: T | null;
after: T;
source: {
version: string;
connector: string;
name: string;
ts_ms: number;
// ... 15+ more typed fields
};
op: "c" | "r" | "u" | "d"; // Only valid operations allowed
};
The monorepo structure prevents the classic problem of duplicated interfaces between services. Instead of each service defining its own version of User, Organization, or KafkaMessage, you define them once and share them everywhere.
// packages/service-discovery/src/types.ts
export type Service = (typeof [utils.SERVICES](<http://utils.SERVICES>))[number];
export type ServiceMap = Record<Service, string>;
// apps/internal/analytics/src/types.ts
export interface AnalyticsEvent {
id: string;
type: string;
userId: string;
timestamp: Date;
metadata?: Record<string, any>;
}
export interface KafkaMessage {
topic: string;
partition: number;
offset: string;
value: AnalyticsEvent;
}
// Frontend consuming shared types
import type { Organization, Member } from "@repo/auth";
// Analytics service using the same Kafka types
import type { KafkaMessage, AnalyticsEvent } from "@repo/analytics";
// Service discovery used everywhere
import type { ServiceMap } from "@repo/service-discovery";
Your AnalyticsEvent interface is defined once in apps/internal/analytics/src/types.ts and used by both producers and consumers.