Category: Web
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How to Use System Design in Your React Project

As React projects evolve, maintaining a clean structure becomes crucial. Implementing a system design, particularly a feature-based folder structure, enhances organization. Utilizing the principles of Atomic Design helps create reusable UI components. Building foundational components ensures consistency, improving scalability, and navigation, ultimately leading to more maintainable applications over time.
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SLF4J, Logback, and Log4j: A Straightforward Guide to Java Logging

The Java logging ecosystem features SLF4J as a facade API, with Logback and Log4j2 as underlying implementations. Using SLF4J decouples application code from logging frameworks, allowing easy dependency changes. For most projects, SLF4J with Logback is recommended, while Log4j2 is better for high-performance needs, ensuring efficient logging strategies.
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Flyway vs. Liquibase: Which Database Migration Tool is Right for You?

Database migrations are essential in modern application development for managing schema changes. Flyway offers simplicity with raw SQL migrations, suitable for single-database projects. In contrast, Liquibase provides advanced features like changelogs and rollback support, making it ideal for database-agnostic applications. The choice depends on project requirements and team expertise.
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Centralized Error Handling with React useContext

In a React application, I use to centralize error handling using the useContext hook to avoid repetitive error pop-up logic. An ErrorContext is created to manage error messages and dismissal functions, along with an ErrorPopin component for display. This solution simplifies error management while maintaining clarity and functionality across various components.
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The No-Code Backend

The future of backend development may embrace no-code solutions, similar to frontend tools. Strapi and Supabase emerge as leading options, each offering unique features. Strapi allows for extensive Node.js customization, while Supabase focuses on managed services with PostgreSQL. Both platforms serve as launchpads, facilitating rapid development despite limitations in custom code integration.
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MagicMock with Python

MagicMock is an essential Python tool for testing, allowing developers to simulate external dependencies like databases and APIs, ensuring unit tests are fast and isolated. It provides flexible mock objects, enabling control over behavior and verification of interactions. Techniques like using the @patch decorator enhance its usability in tests.
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Mastering Data Validation in Java Applications

The article emphasizes the importance of validating data before it enters the database to prevent issues like NullPointerExceptions and inconsistent data. It advocates for early validation at both the controller and domain model levels, using annotations and custom validators for cleaner, simpler code, ultimately leading to enhanced application reliability.
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3 Signs Your Website Is Slowing Down Your Company’s Growth

In the early 2000s, I’ve learned that cluttered websites hinder user engagement. Key takeaways include integrating analytics to understand user behavior, ensuring fast loading times to avoid high bounce rates, and maintaining a modern, clean design to reflect professionalism. Impressions made through a website are crucial for business success.
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Python Unittest Mocking Constructors

Writing effective unit tests can be challenging, especially with mocks. The post discusses issues with mocking constructors in Python’s unittest framework, suggesting that imports be structured differently to enable successful mocking. By importing the module instead of the class directly, the @patch decorator can function correctly, allowing for effective testing.
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Architecture for my Generative AI Application

In this article, I explore using AI image generation models accessed via platforms like Hugging Face but faces challenges with high GPU costs and inefficient resource management. The solution involves a web application and a backend service that auto-scales GPU usage via asynchronous messaging, ensuring resources are only used when necessary.
