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We analyse large open-source projects and provide free codebase architecture and are committed to open-source and innovation.
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Build a maintainable codebase
Study how large open-source projects architect their codebase
Learn how to structure your codebase, decide the tooling required, follow the best practices.
- Tooling
- Tools such as ESLint that help you write, test, and manage their code more easily and efficiently.
- Project Structure
- Project Structure in a large open-source codebase organizes files and directories to enhance clarity and navigation for developers exploring the project.
- Components Structure
- Components Structure defines how reusable UI elements are organized within an open-source project, promoting modularity and ease of integration.
- API Layer
- The API Layer serves as a bridge in large codebases, enabling smooth communication between the front-end and back-end components through well-defined interfaces.
- State Management
- State Management in large open-source projects outlines how data is handled and shared across components, ensuring a consistent experience for users.
- Testing
- Testing in open-source codebases involves creating and running tests to confirm that various parts of the application function correctly, ensuring reliability.
- Error Handling
- Error Handling strategies in large codebases help developers anticipate, manage, and provide feedback on errors to maintain stability and user experience.
- Security
- Security measures in open-source projects focus on protecting the codebase from vulnerabilities and unauthorized access, which is vital for community trust.
- Performance
- Performance optimization in large codebases aims to enhance speed and responsiveness, improving user satisfaction and efficiency.
- Deployment
- Deployment in the context of open-source projects refers to the process of making the application accessible to users by moving it from a development environment to production.