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Dev

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Creating Responsive Layouts in React using Material UI Grid

  • Material UI Grid system simplifies creating responsive layouts in React applications.
  • MUI Grid is based on CSS Flexbox and allows easy division of layouts into sections with control over different screen sizes.
  • By using MUI Grid, developers can create responsive designs without the need for writing custom CSS media queries.
  • Grid layout examples, nested grids, styling with Box component, and additional control features like alignItems and justifyContent were explained in the tutorial.

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RandomThoughts

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Releasing unused but committed Heap memory

  • Periodic Garbage Collection cycles can be forced in JVM with specific command-line arguments to reclaim unused but committed Heap memory.
  • This feature is useful in container environments to save costs by reclaiming memory that is not actively used.
  • G1 garbage collector triggers periodic garbage collection based on conditions like interval time and system load threshold.
  • The need for a Java Agent to enable this functionality in the past is no longer necessary, as it can be achieved through specified JVM arguments.

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Medium

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The Fatal Flaw in Most Stochastic Setups (And How to Fix It in Pine Script)

  • The widely-used Stochastic Oscillator indicator can be misleading when applied blindly, leading to failed trading strategies even in backtests.
  • Traders often misuse the Stochastic Oscillator as it measures momentum within a range without considering market context, resulting in early signals, whipsaw entries, and fast losses.
  • Using Pine Script, a context-aware version of the Stochastic Oscillator can be built to filter out noise, improve entries, and enhance trading results by reducing overreactions and focusing on dominant trend directions.
  • Implementing additional filters based on exponential moving averages and Average True Range can further enhance the strategy, allowing for better trade entries and exits, resulting in increased win rates and improved performance.

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Medium

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How I Earned $1,000 This Month with AI Tools

  • Discovering a fantastic opportunity that transformed finances by using advanced AI tools.
  • Purchasing a comprehensive suite of 12 powerful AI applications for $14.95, worth over $11,000, resulted in generating over $1,000 in a month.
  • Using various AI apps such as AI AppMaker to create an eCommerce store and AI VideoBooks for engaging video content led to additional revenue streams.
  • The flexibility and scalability of the AI tools provide long-term benefits, including the potential for continuous passive income and resale opportunities.

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Medium

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The Unsung Heroes of AI: Data Annotators

  • Data annotators are the unsung heroes of AI, playing a crucial role in turning raw data into structured information that powers smart models.
  • Their meticulous work, such as labeling images and tagging emotions, is essential for training accurate AI models.
  • Annotators are vital for ensuring the quality of data, as clean and thoughtful labels can make a significant difference in the performance of AI models.
  • They are not just workers but the backbone of machine intelligence and their contribution is essential for the success of AI projects.

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Dev

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Why Developers have switched from Bootstrap to Tailwind CSS

  • Developers are shifting from Bootstrap to Tailwind CSS for more power, flexibility, and control in web development.
  • Tailwind offers a utility-first approach with customizable utility classes, allowing developers to build designs from scratch.
  • Tailwind CSS results in faster development with styles residing within markup, offering modern design flexibility and cleaner code without the need for overrides.
  • It has a massive ecosystem, community support, and seamless integration with modern JS frameworks, making it a preferred choice for developers seeking customization and control over UI.

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Dev

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How to Configure WebSocket with SSL in Spring Boot?

  • Configuring WebSockets with SSL in Spring Boot can be challenging due to compatibility issues with HTTPS.
  • Issues may arise due to discrepancies in configuration like incorrect ports, SSL certificates, or protocol settings.
  • To enable WebSockets over HTTPS, verify SSL configuration, adjust WebSocket configuration, test connections, resolve common errors, check logs, and use correct dependencies.
  • Using correct protocols, ports, and dependencies, along with testing and troubleshooting, ensures a successful WebSocket connection over SSL in Spring Boot.

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Dev

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Compound Components: Advance React Patterns 👩🏻‍💻

  • Advanced React patterns abstract common logic, improve scalability, and provide flexibility for building complex apps.
  • Compound components allow related components to share state via a parent component without manual prop drilling.
  • Benefits of compound components include improved API ergonomics, shared state management, composability, encapsulated logic, and flexibility for custom layouts.
  • Compound components are ideal for creating wizards, forms with multiple sections, tab panels, charts, builders, etc.
  • Real libraries like Radix UI, React Aria, and Headless UI utilize compound components for customizable and accessible UI primitives.
  • Compound components offer more reusable, scalable, and customizable solutions compared to non-compound implementations.
  • The Pizza Builder example demonstrates the use of compound components for selecting pizza size, toppings, and preview visually.
  • Compound components ensure a flexible layout, decoupled concerns, and ease of extension for better code organization.
  • By implementing compound components, developers gain insights into applying advanced React patterns for more efficient and maintainable code.
  • The article encourages practical implementation and exploration of compound components to enhance understanding and application of advanced React patterns.

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Medium

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Title: Command Center Genre: Drama Format: One-Act Play Length: ~4000 words

  • Characters: Camille James, Eli Burns, Rina Cahill, Jordan Blake, Lena Dao.
  • Setting: Sleek but unfinished space within a co-working building with startup energy and bureaucratic oversight.
  • Scene 1: Camille reviewing live dashboard, wearing a headset. Eli enters holding a USB stick.

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Logrocket

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Leader Spotlight: Engaging and retaining a growing fan base, with Dev Ward

  • Dev Ward is the Head of Digital at the WNBA, leading digital transformation and growth initiatives, with previous experience at Disney Parks.
  • Dev Ward discusses curating the digital experience for the WNBA fan base, utilizing data and social listening to measure engagement.
  • Personalization in the fan experience is crucial, balancing engagement and revenue while ensuring a seamless, personalized app experience.
  • Segmentation by behavior, location, and sentiment is used to tailor digital experiences for the diverse WNBA fan base.
  • Dev Ward emphasizes aligning digital products with the WNBA's long-term goals and staying agile to adjust to changing business objectives.
  • Strategic thinking drives core product offerings, like creating a configurable mobile app and focusing on user-friendly design.
  • The redesign of the WNBA app involved prioritization, gathering fan feedback, and creating a central platform for all WNBA content.
  • The biggest obstacle faced during the app redesign process was prioritization, balancing multiple fan needs and requests.
  • Monitoring social engagement and storytelling are key for measuring brand affinity and enhancing fan loyalty in digital experiences.
  • Collaboration with various teams, including data analytics and marketing, is essential to optimize digital experiences and drive fan engagement.

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Self-Learning-Java

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From Good to Great: Enhancing LLM Responses with Self-Refinement

  • Large Language Models (LLMs) in generative AI offer possibilities for automation, content generation, and problem-solving.
  • Self-refinement enhances LLM responses by iteratively evaluating and improving their output for accuracy and depth.
  • The technique involves posing a prompt, getting an initial response, providing critique, and refining the response.
  • Self-refinement helps in generating better quality solutions, as demonstrated with a Java prime number program example.
  • Feedback loops enable addressing issues and improving responses over multiple iterations.
  • Refinement techniques like using try-with-resources or a finally block ensure proper handling of resources like Scanner objects.
  • Moving code logic into utility classes can streamline the code structure and enhance code reusability.
  • Benefits of self-refinement include improved accuracy, deeper exploration of answers, and simulating a collaborative refinement process.

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Self-Learning-Java

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Generated Knowledge prompting in LLMs

  • Generated Knowledge Prompting involves providing additional data or context to the LLM along with the query to enhance the quality of responses.
  • By feeding structured information related to the domain, such as a database schema for SQL queries, the LLM can generate more accurate and relevant results.
  • Providing schema details guides the model in constructing correct SQL syntax, converting natural language queries into actionable SQL statements.
  • Generated Knowledge Prompting is beneficial for tools enabling non-technical users to query databases, automating database interactions in chatbots, and reducing the learning curve for SQL.

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Self-Learning-Java

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Chain-of-Thought Prompting Technique in LLMs

  • Chain-of-Thought prompting is a technique used to guide Large Language Models (LLMs) by breaking problems into smaller logical steps to improve accuracy and logical reasoning.
  • This technique involves providing step-by-step instructions to the LLMs, encouraging them to think through a problem sequentially like a human.
  • Advantages of Chain-of-Thought Prompting include improved accuracy, scalable problem-solving, enhanced debugging, and better generalization to unseen problems.
  • Best practices for Chain-of-Thought Prompting include using analogous examples, being explicit in outlining steps, iterating and refining prompts, and leveraging few-shot learning for complex tasks.

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Self-Learning-Java

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Javalin: get the client host and ip address

  • Javalin provides methods to retrieve client host name and IP address.
  • ctx.host() returns the client host name while ctx.ip() returns the client IP address.
  • To utilize these methods, a Maven project 'javalin-client-host-ip-details' was created.
  • An application was developed that demonstrates how to fetch and display client host and IP details using Javalin.

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Medium

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GitHub Profile and Repository Optimization Tips for Developers in 2025

  • Choose a consistent and professional username to make it easy for recruiters and collaborators to find you.
  • Write a concise, keyword-rich bio that highlights your main programming languages, current role, interests, and what you're learning.
  • Pin top repositories that showcase your best work and create detailed README files for each project.
  • Commit regularly, use descriptive tags, organize repositories, contribute to open-source projects, and share technical content externally to enhance your GitHub profile.

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