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…ecks, and tests - TypeScript strict mode with Zod env validation - Modular architecture: health, auth, users modules - Security middleware: Helmet, CORS, rate limiting - Structured logging with Pino - Centralized error handling with custom AppError classes - JWT authentication with bcrypt password hashing - RESTful API with standardized JSON responses - Multi-stage Dockerfile for dev/prod - Docker Compose with MongoDB, backend, frontend services - Jest test suite (14 passing tests) - ESLint + Prettier configuration - Husky + lint-staged + commitlint for git hooks
- Angular 19 with standalone components, signals, and new control flow - Lazy-loaded routes: home, auth (login/register), dashboard - Auth service with signal-based state management - HTTP interceptor for JWT token injection and 401 handling - Auth/guest guards for route protection - SCSS styling with modern UI design - Multi-stage Dockerfile (dev with ng serve, prod with Nginx) - Nginx config with gzip, caching, SPA fallback, API proxy - GitHub Actions CI: lint, type-check, test, build, Docker verify - Comprehensive README with API docs and quick start guide
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Summary of ChangesHello @LouisLetcher, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request establishes a foundational cloud-native MEAN stack boilerplate designed for modern web application development. It provides a structured and opinionated starting point, emphasizing best practices in containerization, code quality, and security. The changes introduce a fully functional backend with authentication and user management, paired with an Angular frontend, all configured for seamless local development and deployment readiness. Highlights
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Code Review
This pull request introduces a comprehensive and well-structured MEAN stack boilerplate. The code quality is very high, adhering to modern best practices for both the Node.js/Express backend and the Angular frontend. The project setup is excellent, featuring robust configurations for Docker, security, validation, logging, and development tooling. I have a few suggestions for improvement regarding Docker layer caching, dependency management, TypeScript typings in Express, and securing default secrets. Overall, this is an excellent foundation for a new project.
| NODE_ENV: development | ||
| PORT: 3000 | ||
| MONGO_URI: mongodb://${MONGO_USERNAME:-admin}:${MONGO_PASSWORD:-password}@mongodb:27017/${MONGO_DATABASE:-mean_app}?authSource=admin | ||
| JWT_SECRET: ${JWT_SECRET:-dev-secret-change-in-production} |
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The default JWT_SECRET is a weak and predictable string. Using common default secrets is a security risk, as they can be easily guessed by attackers if this configuration is ever used in a production or staging environment. It's recommended to use a more random, non-obvious default secret even for development.
| FROM node:20-alpine AS base | ||
| WORKDIR /app | ||
| COPY package.json package-lock.json* ./ | ||
| RUN npm ci --ignore-scripts | ||
| COPY . . | ||
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| # ============================================ | ||
| # Stage 2: Development (hot-reload with tsx) | ||
| # ============================================ | ||
| FROM base AS development | ||
| ENV NODE_ENV=development | ||
| EXPOSE 3000 | ||
| CMD ["npm", "run", "dev"] | ||
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| # ============================================ | ||
| # Stage 3: Build the TypeScript source | ||
| # ============================================ | ||
| FROM base AS build | ||
| RUN npm run build |
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To improve Docker layer caching and optimize build times, it's recommended to separate the dependency installation from copying the application source code. The current base stage bundles them, causing the cache to be invalidated on any source code change.
By creating a dependencies stage that only handles npm ci, and then having development and build stages copy the source code, you ensure that dependencies are only re-installed when package.json or package-lock.json changes.
# ============================================
# Stage 1: Dependencies
# ============================================
FROM node:20-alpine AS dependencies
WORKDIR /app
COPY package.json package-lock.json* ./
RUN npm ci --ignore-scripts
# ============================================
# Stage 2: Development (hot-reload with tsx)
# ============================================
FROM dependencies AS development
COPY . .
ENV NODE_ENV=development
EXPOSE 3000
CMD ["npm", "run", "dev"]
# ============================================
# Stage 3: Build the TypeScript source
# ============================================
FROM dependencies AS build
COPY . .
RUN npm run build
| "jsonwebtoken": "^9.0.2", | ||
| "mongoose": "^8.9.5", | ||
| "pino": "^9.6.0", | ||
| "pino-pretty": "^13.0.0", |
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The pino-pretty package is used for formatting logs only during development and is not needed in production. It should be moved to devDependencies to keep production dependencies clean and reduce the size of the production installation.
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| const payload = verifyToken(token); | ||
| (req as Request & { userId: string }).userId = payload.userId; |
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The type casting (req as Request & { userId: string }) is used here and in other controllers to access userId. This can be made cleaner and more type-safe by using TypeScript's declaration merging to extend the Express Request interface.
Consider creating a type definition file (e.g., backend/src/types/express.d.ts) with the following content:
declare namespace Express {
export interface Request {
userId?: string;
}
}With this in place, you can simply write req.userId = payload.userId; without any casting, and it will be type-checked correctly across your application.
| (req as Request & { userId: string }).userId = payload.userId; | |
| req.userId = payload.userId; |
2 participants
Add a comprehensive, cloud-native MEAN stack boilerplate adhering to modern best practices.