Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component...
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# Description
Modern TypeScript project architecture guide for 2025. Use when creating new TS projects, setting up configurations, or designing project structure. Covers tech stack selection, layered architecture, and best practices.
# SKILL.md
name: typescript-project
description: Modern TypeScript project architecture guide for 2025. Use when creating new TS projects, setting up configurations, or designing project structure. Covers tech stack selection, layered architecture, and best practices.
TypeScript Project Architecture
Core Principles
- Type safety first β Strict mode, no
any, Zod for runtime validation - ESM native β ES Modules by default, Node 22+ / Bun
- Layered architecture β Separate lib/services/adapters
- 200-line limit β No file exceeds 200 lines (see elegant-architecture skill)
- Test reality β Vitest/Bun test, minimal mocks
- No backwards compatibility β Delete, don't deprecate. Change directly, no shims
- LiteLLM for LLM APIs β Use LiteLLM proxy for all LLM integrations, unless specific SDK required
No Backwards Compatibility
Delete unused code. Change directly. No compatibility layers.
Why
- Dead code is tech debt
- Compatibility shims add complexity
- Old patterns spread through copy-paste
- "Temporary" workarounds become permanent
Anti-Patterns to Avoid
// β BAD: Renaming but keeping old export
export { newName };
export { newName as oldName }; // "for backwards compatibility"
// β BAD: Unused parameter with underscore
function process(_legacyParam: string, data: Data) { ... }
// β BAD: Deprecated comments instead of deletion
/** @deprecated Use newMethod instead */
export function oldMethod() { ... }
// β BAD: Re-exporting removed functionality
export { removed } from './legacy'; // Keep for existing consumers
// β BAD: Feature flags for old behavior
if (config.useLegacyMode) { ... }
Correct Approach
// β
GOOD: Just delete and update all usages
// Old: export { fetchData as getData }
// New: export { fetchData }
// Then: Find & replace all getData β fetchData
// β
GOOD: Remove unused parameters entirely
function process(data: Data) { ... }
// β
GOOD: Delete deprecated code, update callers
// Don't mark as deprecated, just remove it
// β
GOOD: Breaking changes are fine in active development
// Semantic versioning handles this for libraries
When Changing Interfaces
// β BAD: Adding optional fields "for compatibility"
interface User {
id: string;
name: string;
firstName?: string; // New field, name kept for compatibility
lastName?: string;
}
// β
GOOD: Clean break, update all usages
interface User {
id: string;
firstName: string;
lastName: string;
}
// Then update ALL code that uses User.name
Migration Strategy
- Find all usages β
grep -r "oldName" src/ - Update all at once β Single commit, no transition period
- Delete old code β No deprecation warnings, just remove
- Run tests β Ensure nothing breaks
LiteLLM for LLM APIs
Use LiteLLM proxy for all LLM integrations. Don't call provider APIs directly.
Why LiteLLM
- Unified interface β One API for 100+ LLM providers (OpenAI, Anthropic, Azure, Bedrock, etc.)
- Provider agnostic β Switch models without code changes
- Cost tracking β Built-in usage and cost monitoring
- Load balancing β Automatic failover between providers
- Rate limiting β Protect against quota exhaustion
Setup
# Run LiteLLM proxy (Docker)
docker run -p 4000:4000 ghcr.io/berriai/litellm:main-stable
# Or install locally
pip install litellm[proxy]
litellm --model gpt-4o
TypeScript Usage
// adapters/llm.adapter.ts
import { OpenAI } from 'openai';
// Connect to LiteLLM proxy using OpenAI SDK
const llm = new OpenAI({
baseURL: process.env.LITELLM_URL || 'http://localhost:4000',
apiKey: process.env.LITELLM_API_KEY || 'sk-1234', // Proxy API key
});
export async function complete(prompt: string, model = 'gpt-4o'): Promise<string> {
const response = await llm.chat.completions.create({
model, // Can be any model: gpt-4o, claude-3-opus, gemini-pro, etc.
messages: [{ role: 'user', content: prompt }],
});
return response.choices[0]?.message?.content ?? '';
}
When NOT to Use LiteLLM
- Streaming with provider-specific features (e.g., Anthropic's tool use streaming)
- Provider-specific APIs not in OpenAI format (embeddings with metadata, etc.)
- Direct SDK required for compliance/security reasons
Anti-Patterns
// β BAD: Direct provider SDKs everywhere
import Anthropic from '@anthropic-ai/sdk';
import OpenAI from 'openai';
import { GoogleGenerativeAI } from '@google/generative-ai';
// β BAD: Provider-specific code scattered across codebase
if (provider === 'anthropic') { ... }
else if (provider === 'openai') { ... }
// β
GOOD: Single LiteLLM adapter, switch models via config
const response = await llm.chat.completions.create({
model: config.llmModel, // "gpt-4o" or "claude-3-opus" or "gemini-pro"
messages,
});
Quick Start
1. Initialize Project
# Using Bun (recommended)
bun init
bun add zod
bun add -d typescript @types/bun @biomejs/biome
# Using Node.js
npm init -y
npm i zod
npm i -D typescript @types/node tsx @biomejs/biome
2. Apply Tech Stack
| Layer | Recommendation |
|---|---|
| Runtime | Bun / Node 22+ |
| Language | TypeScript (latest) |
| Validation | Zod (latest) |
| Testing | Bun test / Vitest |
| Build | bun build / tsup |
| Linting | Biome (latest) |
Version Strategy
Always use latest. Never pin versions in templates.
{
"dependencies": {
"zod": "latest"
},
"devDependencies": {
"@biomejs/biome": "latest",
"typescript": "latest"
}
}
bun add/npm iautomatically fetches latest- Use
bun update --latestto upgrade all dependencies - Lock files (
bun.lockb,package-lock.json) ensure reproducible builds - Breaking changes are handled by reading changelogs, not by avoiding updates
3. Use Standard Structure
project/
βββ src/
β βββ index.ts # Entry point
β βββ lib/ # Core utilities
β β βββ config.ts # Configuration management
β β βββ errors.ts # Custom error classes
β β βββ logger.ts # Logging infrastructure
β β βββ types.ts # Shared type definitions
β βββ services/ # Business logic
β β βββ *.service.ts
β βββ adapters/ # External integrations
β βββ *.adapter.ts
βββ tests/ # Test files
β βββ *.test.ts
βββ tsconfig.json
βββ package.json
βββ biome.json # or eslint.config.js
Architecture Layers
lib/ β Core Infrastructure
Foundational code used across the entire application:
// lib/types.ts β Shared type definitions
export interface Result<T, E = Error> {
ok: boolean;
data?: T;
error?: E;
}
// lib/errors.ts β Custom errors
export class AppError extends Error {
constructor(
message: string,
public code: string,
public statusCode: number = 500
) {
super(message);
this.name = 'AppError';
}
}
// lib/config.ts β Configuration
export const config = {
env: process.env.NODE_ENV || 'development',
port: Number(process.env.PORT) || 3000,
db: {
url: process.env.DATABASE_URL!,
},
} as const;
// lib/logger.ts β Logging (see structured-logging skill)
services/ β Business Logic
Pure business logic with injected dependencies:
// services/user.service.ts
export class UserService {
constructor(private readonly userRepo: UserRepository) {}
async create(input: CreateUserInput): Promise<User> {
const existing = await this.userRepo.findByEmail(input.email);
if (existing) throw new AppError('Email exists', 'USER_EXISTS', 409);
return this.userRepo.save(User.create(input));
}
}
adapters/ β External Integrations
Interface with external systems (DB, APIs, file system):
// adapters/postgres.adapter.ts
export class PostgresUserRepository implements UserRepository {
constructor(private readonly db: Database) {}
async findByEmail(email: string): Promise<User | null> {
const row = await this.db.query('SELECT * FROM users WHERE email = $1', [email]);
return row ? User.fromRow(row) : null;
}
}
Configuration Files
tsconfig.json (2025)
{
"compilerOptions": {
"target": "ES2022",
"module": "NodeNext",
"moduleResolution": "NodeNext",
"lib": ["ES2022"],
"outDir": "dist",
"rootDir": "src",
"strict": true,
"noUncheckedIndexedAccess": true,
"noUnusedLocals": true,
"noUnusedParameters": true,
"esModuleInterop": true,
"skipLibCheck": true,
"declaration": true,
"sourceMap": true
},
"include": ["src/**/*"],
"exclude": ["node_modules", "dist"]
}
package.json
{
"name": "my-project",
"version": "1.0.0",
"type": "module",
"main": "dist/index.js",
"scripts": {
"dev": "bun run --watch src/index.ts",
"build": "bun build src/index.ts --outdir dist --target bun",
"start": "bun dist/index.js",
"test": "bun test",
"typecheck": "tsc --noEmit"
}
}
Validation with Zod
import { z } from 'zod';
// Define schemas
export const CreateUserSchema = z.object({
email: z.string().email(),
name: z.string().min(2).max(100),
age: z.number().int().positive().optional(),
});
// Infer types from schemas
export type CreateUserInput = z.infer<typeof CreateUserSchema>;
// Validate at boundaries
export function validateInput<T>(schema: z.ZodType<T>, data: unknown): T {
return schema.parse(data);
}
Error Handling Pattern
// lib/errors.ts
export class AppError extends Error {
constructor(
message: string,
public readonly code: string,
public readonly statusCode: number = 500,
public readonly context?: Record<string, unknown>
) {
super(message);
this.name = 'AppError';
Error.captureStackTrace(this, this.constructor);
}
static notFound(resource: string, id: string) {
return new AppError(`${resource} not found: ${id}`, 'NOT_FOUND', 404);
}
static validation(message: string, context?: Record<string, unknown>) {
return new AppError(message, 'VALIDATION_ERROR', 400, context);
}
}
// Usage
throw AppError.notFound('User', userId);
Testing Strategy
// tests/user.service.test.ts
import { describe, it, expect, beforeEach } from 'bun:test';
import { UserService } from '../src/services/user.service';
import { InMemoryUserRepository } from './helpers/in-memory-repo';
describe('UserService', () => {
let service: UserService;
let repo: InMemoryUserRepository;
beforeEach(() => {
repo = new InMemoryUserRepository();
service = new UserService(repo);
});
it('creates user with valid input', async () => {
const user = await service.create({
email: '[email protected]',
name: 'Test User',
});
expect(user.email).toBe('[email protected]');
expect(await repo.findByEmail('[email protected]')).toEqual(user);
});
it('rejects duplicate email', async () => {
await service.create({ email: '[email protected]', name: 'User 1' });
expect(
service.create({ email: '[email protected]', name: 'User 2' })
).rejects.toThrow('Email exists');
});
});
Checklist
## Project Setup
- [ ] TypeScript strict mode enabled
- [ ] ESM modules configured
- [ ] Biome/ESLint configured
- [ ] Testing framework ready
## Architecture
- [ ] lib/ for core utilities
- [ ] services/ for business logic
- [ ] adapters/ for external integrations
- [ ] Clear module boundaries
## Quality
- [ ] Zod schemas for validation
- [ ] Custom error classes
- [ ] Structured logging
- [ ] Tests for critical paths
## Build
- [ ] Build script configured
- [ ] Type checking in CI
- [ ] Tests in CI
See Also
- reference/architecture.md β Detailed architecture patterns
- reference/tech-stack.md β Tech stack comparison
- reference/patterns.md β Design patterns
- elegant-architecture skill β 200-line file limit
- structured-logging skill β Logging setup
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.