# Technology Stack Document
Generated: Tuesday, September 16, 2025

## Frontend Technologies

* **Framework:** **Angular**. The boilerplate is built on the latest stable version of the Angular framework, chosen for its robustness, component-based architecture, and suitability for large-scale, enterprise applications.
* **Language:** **TypeScript**. As a superset of JavaScript, TypeScript is used for its strong typing, which improves code quality, maintainability, and developer productivity.
* **Styling:** **SCSS**. SCSS is used for its advanced features over standard CSS, such as variables, nesting, and mixins, allowing for more organized and maintainable stylesheets.
* **UI Framework:** **VMware Clarity Design System**. This comprehensive design system provides a set of accessible, high-quality UI components and a consistent visual language, which accelerates UI development.
* **Core Libraries:**
    * **RxJS:** Used extensively throughout Angular for reactive programming and managing asynchronous operations.
    * **Zone.js:** A signaling mechanism that enables Angular's automatic change detection.

## Backend Technologies

* **Backend Agnostic:** This is a frontend-only boilerplate and is not tied to any specific backend technology. It is designed to communicate with any backend that exposes a RESTful or GraphQL API.

## Database Technologies

* **Not Applicable:** As a frontend project, the boilerplate does not include a database.

## Infrastructure & Deployment

* **Web Server:** The built application consists of static files that can be served by any modern web server (e.g., **Nginx**, **Apache**, **Caddy**).
* **Hosting:** The project can be deployed to any static site hosting provider, such as **Firebase Hosting**, **Netlify**, **Vercel**, **AWS S3**, or **GitHub Pages**.
* **Containerization (Optional):** The application can be easily containerized using **Docker** for consistent deployment environments.

## Development & Build Tools

* **Build Tool:** **Angular CLI**. The command-line interface for Angular is used for creating, building, testing, and deploying the application.
* **Package Manager:** **npm**. The Node Package Manager is used for managing all project dependencies.
* **Version Control:** **Git**. Git is the standard for version control and source code management.
* **Testing:**
    * **Unit Testing:** **Jasmine** (framework) and **Karma** (test runner) are the default tools for unit testing in Angular.
    * **End-to-End (E2E) Testing:** The project can be configured to use **Protractor** or more modern alternatives like **Cypress** or **Playwright**.
* **Code Formatting/Linting:**
    * **ESLint:** Used for identifying and reporting on patterns in ECMAScript/JavaScript code.
    * **Prettier:** An opinionated code formatter that enforces a consistent style.
    * **EditorConfig:** Helps maintain consistent coding styles for multiple developers working on the same project across various editors and IDEs.

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## TECH STACK UPDATE - 2025-09-25 10:02:59

## Technology Stack Document Update - 2025-09-25T10:03:00

### Platform Selection (TBD)
The optimal platform (web, mobile, desktop) will be determined based on further user input and analysis of feasibility and development effort. This decision will significantly impact the choice of frontend technologies.

### Frontend Technologies Update (TBD)
The frontend technology stack is contingent on the chosen platform.  Potential options include:

* **Web Application:** React, Angular, Vue.js
* **Mobile Application:** React Native, Flutter, Native iOS/Android
* **Desktop Application:** Electron, Tauri, Native frameworks

### Backend Technologies Update (TBD)
The backend technology will be selected after platform and data storage considerations.  Potential options:

* **Node.js with Express.js:** For a flexible and scalable backend.
* **Python with Flask/Django:** For a robust and well-established backend option.
* **Other backend technologies (depending on platform and needs):**  Java (Spring Boot), Go, etc.

### Database Technologies Update (TBD)
The database selection will depend on scalability requirements and data storage choice (local, cloud). Potential options:

* **Local Storage (initial MVP):**  Suitable for testing and development, but not scalable for large data volumes.
* **Cloud Databases:** MongoDB (NoSQL), PostgreSQL (SQL), Firebase, AWS DynamoDB
* **Local Databases:** SQLite, PostgreSQL (for larger local deployments)

### Infrastructure Update (TBD)
The infrastructure requirements will depend on the chosen platform and deployment strategy. Potential options:

* **Cloud Hosting:** AWS, Azure, Google Cloud Platform
* **Containerization:** Docker
* **Serverless Functions (AWS Lambda, Google Cloud Functions, etc.):** For potentially increased efficiency.

### Development Tools Update

* **Version Control:** Git
* **Testing:** Jest, Cypress, Mocha
* **CI/CD:** GitHub Actions, GitLab CI, CircleCI


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## TECH STACK UPDATE - 2025-09-25 10:03:13

## Frontend Technologies Update - 2025-09-25T10:03:00

The following are initial considerations for frontend technologies, which will need refinement based on platform choice (web, mobile, or desktop):

* **Web Application:**  React with Redux Toolkit (state management) or Vue.js with Pinia (state management) are strong candidates for building a responsive and efficient web application.  Angular is also a valid option, although it may have a higher initial learning curve.  A CSS framework like Tailwind CSS or Material UI (for React) or Bootstrap (for any framework) could also be used.
* **Mobile Application:** React Native or Flutter offers cross-platform development, reducing development time and resources. Native iOS (SwiftUI) and Android (Jetpack Compose) development is also an option, but would require separate teams and codebases. 
* **Desktop Application:** Electron or Tauri are suitable choices for cross-platform desktop applications, offering ease of development and access to native functionalities. However, native frameworks (e.g., Qt, WPF) would give more performant apps but will require significant additional development effort.

## Backend Technologies Update - 2025-09-25T10:03:00

The backend technology stack will be determined based on scaling requirements and personal preference.  The choices below are valid options and should be further investigated based on team expertise and project needs:

* **Node.js with Express.js:** A lightweight and scalable option, ideal for handling real-time interactions if needed.
* **Python with Flask/Django:** Robust and well-documented frameworks, offering a wide range of libraries and tools.
* **Go:** A powerful language for building highly performant and concurrent applications.

## Database Technologies Update - 2025-09-25T10:03:00

The choice of database will depend on several factors, including scalability, data volume, and complexity.  Here are some initial considerations:

* **For local storage (MVP):** SQLite is a simple option for initial development and testing, but it is not suitable for large-scale applications.
* **For cloud-based solutions:** MongoDB (NoSQL), PostgreSQL (SQL), Firebase (cloud-based NoSQL solution), or AWS DynamoDB (NoSQL) are suitable choices.  The choice depends on the application's scaling needs and whether a relational or non-relational database is preferred.  AWS DynamoDB or similar serverless solutions could help ensure efficient scaling with minimal administration.
* **For large local deployments:**  PostgreSQL is a powerful relational database. 

## Infrastructure Update - 2025-09-25T10:03:00

The infrastructure will depend on the chosen platform, but generally:

* **Cloud Hosting:**  AWS, Google Cloud, or Azure offer various services for hosting web, mobile backend, or desktop applications.  The choice depends on factors like cost, scalability requirements, and existing infrastructure.
* **Containerization (Docker):** Using Docker for containerizing the application ensures consistent deployment across different environments.
* **Serverless Functions (AWS Lambda, Google Cloud Functions, Azure Functions):** Consider serverless functions for tasks such as background processing or event-driven actions.  This offers enhanced scalability and cost-effectiveness.

## Development Tools Update - 2025-09-25T10:03:00

The development tool choices remain as stated previously.  However, specific testing and CI/CD tools may need further refinement based on the chosen technologies.  For example, Jest or Cypress could be used for end-to-end testing, and GitHub Actions, GitLab CI, or CircleCI could be used for CI/CD pipelines.
