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Lombok Is a Crutch — You’re Writing Java Wrong

  • Lombok might be doing more harm than good by encouraging developers to ignore good design and lean on shortcuts.
  • Java's verbosity is one of the main reasons for Lombok's popularity, as it reduces the ceremony of writing boilerplate code with annotations.
  • However, Lombok does not address the root problem of writing excessive boilerplate-heavy classes in the first place.
  • Lombok's @Data annotation, often used without much thought, can lead to the exposure of mutable internal state and violation of object-oriented principles.

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Java Is Becoming the New COBOL — Legacy Without Innovation?

  • Java, like COBOL, is being used out of necessity rather than passion as an increasing number of developers are choosing other languages that align with modern development styles.
  • Java, though mature and trusted, is playing catch-up with other languages that are pushing boundaries in areas such as memory safety, simplicity, concurrency, and modern paradigms.
  • Developers today prefer languages like Rust, Go, TypeScript, and Kotlin that are functional-first, async-native, lightweight, and cloud-optimized.
  • The ecosystem of Java may stagnate further without fresh minds innovating, as the best developers are shifting towards other languages taught in university curriculums and used by startups.

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Transformers Unleashed: Part 4 — Fine-Tuning for Custom Text Classification

  • This post is part of a series guiding you through the practical application of Transformer models for various Machine Learning tasks using Python.
  • The post discusses the concept of fine-tuning Transformer models for custom text classification tasks.
  • Fine-tuning allows adjusting the model's parameters to specialize in the nuances of a specific dataset.
  • The Hugging Face Trainer API simplifies the fine-tuning process by abstracting away the boilerplate code involved.

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How to Test CompletableFuture.runAsync()

  • To test CompletableFuture.runAsync() method, one can use Awaitility library.
  • The traditional approach of using Thread.sleep(...) to wait for asynchronous processing is inefficient.
  • By adding the Awaitility library as a dependency, test assertions can be wrapped with the await method.
  • The Awaitility library repeatedly evaluates the assertions until they are successful, ensuring completion of asynchronous processing before verification.

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Why You Should Stop Using Goroutines in Production Services

  • Uncontrolled use of goroutines in production-grade systems can lead to unpredictable behavior, memory leaks, data races, and difficult-to-reproduce bugs.
  • Each goroutine starts with a small stack, but as they grow, memory usage increases, potentially leading to performance issues.
  • The unbounded use of goroutines without error handling, cancellation, retries, or observability can bring down the service.
  • Developers should reconsider their use of goroutines in production services and adopt better practices to ensure system stability and maintainability.

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Beyond the Basics: 10 TypeScript Features That Will Supercharge Your Code

  • TypeScript is a robust tool that helps catch bugs early, scale confidently, and create more expressive APIs.
  • This post dives into 10 advanced TypeScript concepts every modern developer should know.
  • The concepts include Union Types, Intersection Types, Type Guards, Conditional Types, Mapped Types, Template Literal Types, Recursive Types, Keyof and Lookup Types, Infer Keyword, and Utility Types.
  • Mastering these patterns will boost both confidence and productivity in building safer, scalable, and more expressive codebases.

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How To Build A Dynamic Modal In Next js

  • Developers can create a dynamic modal in Next.js to show different UIs based on certain conditions.
  • Logical AND (&&) condition in JavaScript allows evaluating expressions and returning a value if it is truthy.
  • With Logical AND condition, developers can show different messages or UIs depending on the conditions.
  • This approach helps in writing cleaner and more effective code without the need to create multiple modals.

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Why We Ditched Drizzle & Knex in favor of Kysely's Querybuilder

  • ORMs like Knex and Drizzle, while promising rapid development, can obscure SQL and create bottlenecks with growing complexity.
  • Kysely offers a balance of control, maintainability, and end-to-end type safety for database interactions.
  • ORMs hide real database interactions, making query optimization and troubleshooting difficult in complex apps.
  • Strict patterns in ORMs can limit customization and lead to convoluted code when deviating from standard use cases.
  • For complex queries, ORM syntax becomes cumbersome and error-prone, especially in production-grade systems.
  • Type safety in query builders is crucial for preventing errors at compile time, like incorrect table references or typos.
  • Kysely aims for strict type safety, unlike Drizzle and Knex, ensuring correct query construction and avoiding runtime failures.
  • Kysely's fully type-safe implementation enhances query safety and maintainability compared to Knex and Drizzle.
  • Kysely's SQL-like query construction, combined with strict typing, offers a clear advantage in developing scalable applications.
  • Embracing type-safe query building with Kysely provides control over database interactions and robust type validation for high-performance applications.

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Python Blogs

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Top 5 Pinterest Image & Video Downloaders without Watermark Online for Free

  • ExpertsPHP Pinterest Video Downloader is a user-friendly tool that allows users to download Pinterest content without watermarks and quality loss.
  • SnapSave is a fast and clean tool that offers high-definition downloads of Pinterest images and videos without watermarks. It is compatible with multiple platforms.
  • SavePin is a Pinterest-specific tool that provides watermark-free downloads of high-resolution images and long-form videos, popular among bloggers and educators.
  • Qoob Clips is a desktop application ideal for power users, providing batch downloads, content tracking, and no watermarks for Pinterest videos and images.

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I Thought I Was Ready for a Backend Job, but Reality Disagreed

  • When aspiring to be a Backend Developer, it is important to learn multiple programming languages and frameworks, not just rely on JavaScript.
  • JavaScript for backend development is not as popular in the job market, especially for beginners, and it is more of a 'nice to have' skill.
  • Recommended languages and frameworks for backend development include PHP (Laravel), Java (Spring Boot), Python (Django), and Go (popular, but framework name unknown).
  • In addition to language and framework knowledge, it is crucial to learn SQL queries, version control with Git, and other tools like Docker, AWS, GCP, and CI/CD.

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This Is Tuple Context Pattern

  • The article introduces the "Tuple Context" pattern for React and Preact developers using the Context API feature.
  • The pattern aims to enhance the robustness and usability of Context usage in large-scale applications.
  • It simplifies managing business data by structuring the Context as a fixed-size array, separating reactive variables and mutation functions.
  • By structuring the data in this way, the pattern makes it easier to access and update Context values within components.
  • The Tuple Context pattern involves creating separate arrays for constants/reactive variables and functions that mutate the Context state.
  • It allows developers to extract and use the parameters independently based on their requirements.
  • For TypeScript users, defining data types is crucial for better code organization and readability when implementing the Tuple Context pattern.
  • The article explains how to define interfaces and types for the Context state and dispatchers to ensure type safety.
  • Overall, the Tuple Context pattern offers a structured approach to Context management, improving maintainability and code clarity.
  • Developers are encouraged to try out this pattern and share feedback on its usability and effectiveness in their projects.

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Python Tricks Everyone Should Learn

  • Python Tricks Everyone Should Learn
  • Schedule emails using Python's schedule module
  • Send emails to multiple recipients with Python
  • Learn how to schedule Python scripts and record audio

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7 Code Editors You Can Use for Vibe Coding on Linux

  • Vibe Coding has revolutionized the coding process by using AI to generate code based on plain English descriptions.
  • Editors like Zed, Flexpilot IDE, and Pear AI are tailored for this new workflow, offering AI-powered features for faster development.
  • VS Code with GitHub Copilot provides real-time AI-driven code suggestions across various programming languages.
  • Fleet by JetBrains offers a lightweight, AI-powered code editor with collaborative features and support for multiple languages.
  • Cursor and Windsurf are AI-integrated code editors with features like autocomplete, real-time chat assistant, and context-aware suggestions.
  • These editors aim to simplify coding by automating tasks, offering assistance, and enhancing developer productivity.
  • While these tools may rely on cloud services and AI compute, they provide efficient ways to create applications without extensive coding knowledge.
  • Developers can experiment with different editors and AI assistants to find the best fit for their coding style and projects.
  • Vibe Coding is shaping the future of software development by streamlining the coding process and enabling developers to focus on creativity.

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Designing a Smart Commentator Bot: Applying Software Patterns and Principles

  • Designing a smart commentator bot involves applying software design patterns and principles to create a maintainable and extensible solution.
  • The commentator bot for a typing race needs to welcome users, announce participants, track progress, report results, and add personality through jokes and stories.
  • The high-level architecture includes the Client UI, WebSocket Server, Race Engine, and Commentator Bot, each serving specific functions in the system.
  • Design patterns like Strategy, Observer, and Decorator are employed to maintain the bot's adaptability and readability.
  • Key software principles such as SOLID, DRY, and others guide the structure and scalability of the bot.
  • Real-time updates in the bot are handled through WebSockets, enabling effective reactions to race events.
  • Injecting personality into the bot involves using commentary templates, random jokes, dynamic timing, and frequency to keep the commentary engaging.
  • The commentator bot project serves as a practical exercise in software architecture, design patterns, and engineering principles, emphasizing the importance of clean and thoughtful design.
  • By implementing these patterns and principles, the commentator bot becomes fun, extensible, and maintainable, showcasing the value of structured development approaches.
  • Whether for games, tools, or SaaS platforms, the lessons learned from building a commentator bot can be applied to various projects, enhancing both functionality and user experience.

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Coding Is More Addictive Than Video Games ‍

  • Coding isn't naturally addictive, but understanding the brain chemistry can help to enhance the interest in coding.
  • Dopamine is the sneaky molecule behind addictive behaviors, and it plays a significant role in gaming addiction as well.
  • The article presents 5 psychological tricks to turn a gaming addict into someone excited about coding.
  • Unlike gaming, coding is slow and doesn't always provide instant rewards, which leads to decreased interest for many individuals.

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