Technical Codebase Discovery & Onboarding Prompt

**Context:** I am a developer who has just joined the project and I am using you, an AI coding assistant, to gain a deep understanding of the existing codebase. My goal is to become productive as quickly as possible and to make informed technical decisions based on a solid understanding of the current system. **Primary Objective:** Analyze the source code provided in this project/workspace and generate a **detailed, clear, and well-structured Markdown document** that explains the system’s architecture, features, main flows, key components, and technology stack. This document should serve as a **technical onboarding guide**. Whenever possible, improve navigability by providing **direct links to relevant files, classes, and functions**, as well as code examples that help clarify the concepts. --- ## **Detailed Instructions — Please address the following points:** ### 1. **README / Instruction Files Summary** - Look for files such as `README.md`, `LEIAME.md`, `CONTRIBUTING.md`, or similar documentation. - Provide an objective yet detailed summary of the most relevant sections for a new developer, including: - Project overview - How to set up and run the system locally - Adopted standards and conventions - Contribution guidelines (if available) --- ### 2. **Detailed Technology Stack** - Identify and list the complete technology stack used in the project: - Programming language(s), including versions when detectable (e.g., from `package.json`, `pom.xml`, `.tool-versions`, `requirements.txt`, `build.gradle`, etc.). - Main frameworks (backend, frontend, etc. — e.g., Spring Boot, .NET, React, Angular, Vue, Django, Rails). - Database(s): - Type (SQL / NoSQL) - Name (PostgreSQL, MongoDB, etc.) - Core architecture style (e.g., Monolith, Microservices, Serverless, MVC, MVVM, Clean Architecture). - Cloud platform (if identifiable via SDKs or configuration — AWS, Azure, GCP). - Build tools and package managers (Maven, Gradle, npm, yarn, pip). - Any other relevant technologies (caching, message brokers, containerization — Docker, Kubernetes). - **Reference and link the configuration files that demonstrate each item.** --- ### 3. **System Overview and Purpose** - Clearly describe what the system does and who it is for. - What problems does it solve? - List the core functionalities. - If possible, relate the system to the business domains involved. - Provide a high-level description of the main features. --- ### 4. **Project Structure and Reading Recommendations** - **Entry Point:** Where should I start exploring the code? Identify the main entry points (e.g., `main.go`, `index.js`, `Program.cs`, `app.py`, `Application.java`). **Provide direct links to these files.** - **General Organization:** Explain the overall folder and file structure. Highlight important conventions. **Use real folder and file name examples.** - **Configuration:** Are there main configuration files? (e.g., `config.yaml`, `.env`, `appsettings.json`) Which configurations are critical? **Provide links.** - **Reading Recommendation:** Suggest an order or a set of key files/modules that should be read first to quickly grasp the project’s core concepts. --- ### 5. **Key Components** - Identify and describe the most important or central modules, classes, functions, or services. - Explain the responsibilities of each component. - Describe their responsibilities and interdependencies. - For each component: - Include a representative code snippet - Provide a link to where it is implemented - **Provide direct links and code examples whenever possible.** --- ### 6. **Execution and Data Flows** - Describe the most common or critical workflows or business processes (e.g., order processing, user authentication). - Explain how data flows through the system: - Where data is persisted - How it is read, modified, and propagated - **Whenever possible, illustrate with examples and link to relevant functions or classes.** #### 6.1 **Database Schema Overview (if applicable)** - For data-intensive applications: - Identify the main entities/tables/collections - Describe their primary relationships - Base this on ORM models, migrations, or schema files if available --- ### 7. **Dependencies and Integrations** - **Dependencies:** List the main external libraries, frameworks, and SDKs used. Briefly explain the role of each one. **Provide links to where they are configured or most commonly used.** - **Integrations:** Identify and explain integrations with external services, additional databases, third-party APIs, message brokers, etc. How does communication occur? **Point to the modules/classes responsible and include links.** #### 7.1 **API Documentation (if applicable)** - If the project exposes APIs: - Is there evidence of API documentation tools or standards (e.g., Swagger/OpenAPI, Javadoc, endpoint-specific docstrings)? - Where can this documentation be found or how can it be generated? --- ### 8. **Diagrams** - Generate high-level diagrams to visualize the system architecture and behavior: - Component diagram (highlighting main modules and their interactions) - Data flow diagram (showing how information moves through the system) - Class diagram (showing key classes and relationships, if applicable) - Simplified deployment diagram (where components run, if detectable) - Simplified infrastructure/deployment diagram (if infrastructure details are apparent) - **Create these diagrams using Mermaid syntax inside the Markdown file.** - Diagrams should be **high-level**; extensive detailing is not required. --- ### 9. **Testing** - Are there automated tests? - Unit tests - Integration tests - End-to-end (E2E) tests - Where are they located in the project? - Which testing framework(s) are used? - How are tests typically executed? - How can tests be run locally? - Is there any CI/CD strategy involving tests? --- ### 10. **Error Handling and Logging** - How does the application generally handle errors? - Is there a standard pattern (e.g., global middleware, custom exceptions)? - Which logging library is used? - Is there a standard logging format? - Is there visible integration with monitoring tools (e.g., Datadog, Sentry)? --- ### 11. **Security Considerations** - Are there evident security mechanisms in the code? - Authentication - Authorization (middleware/filters) - Input validation - Are specific security libraries prominently used (e.g., Spring Security, Passport.js, JWT libraries)? - Are there notable security practices? - Secrets management - Protection against common attacks --- ### 12. **Other Relevant Observations (Including Build/Deploy)** - Are there files related to **build or deployment**? - `Dockerfile` - `docker-compose.yml` - Build/deploy scripts - CI/CD configuration files (e.g., `.github/workflows/`, `.gitlab-ci.yml`) - What do these files indicate about how the application is built and deployed? - Is there anything else crucial or particularly helpful for a new developer? - Known technical debt mentioned in comments - Unusual design patterns - Important coding conventions - Performance notes --- ## **Final Output Format** - Generate the complete response as a **well-formatted Markdown (`.md`) document**. - Use **clear and direct language**. - Organize content with **titles and subtitles** according to the numbered sections above. - **Include relevant code snippets** (short and representative). - **Include clickable links** to files, functions, classes, and definitions whenever a specific code element is mentioned. - Structure the document using the numbered sections above for readability. **Whenever possible:** - Include **clickable links** to files, functions, and classes. - Show **short, representative code snippets**. - Use **bullet points or tables** for lists. --- ### **IMPORTANT** The analysis must consider **ALL files in the project**. Read and understand **all necessary files** required to fully execute this task and achieve a complete understanding of the system. --- ### **Action** Please analyze the source code currently available in my environment/workspace and generate the Markdown document as requested. The output file name must follow this format: `<yyyy-mm-dd-project-name-app-dev-discovery_cursor.md>`