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Skeleton loading screen design — How to improve perceived performance

  • A skeleton loading screen is a UI design technique that mimics the final interface structure with placeholders to indicate loading state.
  • It improves perceived performance by showing users how data segments will appear before fully loaded.
  • Skeleton screens differ from preloader animations and progress bars by providing a preview of the page layout.
  • They engage users by revealing content progressively and using animations like pulsating effects.
  • Benefits of skeleton screens include improving perceived performance, creating an engaging loading state, and ensuring a seamless transition to the loaded state.
  • Challenges include increased design and development time, but designers can simplify by using prototyping tools and libraries.
  • Types of skeleton loading screens include static, animated, and frame-display variations.
  • Examples from Facebook, Uber, and eBay showcase well-designed skeleton loading screens in real-world applications.
  • Best practices suggest keeping layout consistent, incorporating motion effects, using container-based components, and proper accessibility features.
  • Skeleton loading screens are preferred over preloader animations and progress bars for user engagement, perceived performance, and loading structured content.

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Why typography still matters in UX design

  • Typography is a crucial aspect of website and application design, going beyond just choosing fonts.
  • It plays a significant role in user experience (UX) by conveying messages attractively and readably.
  • Typography has a rich history dating back to the early days of printing, with advancements like the Gutenberg Press.
  • In the digital age, typography evolved with technologies like electronic typesetting and digital typefaces.
  • Key developments include the adoption of OpenType format and Web Open Font Format (WOFF) for web use.
  • Typography terminology includes understanding 'type' as design and 'font' as the actual file used for application/printing.
  • Serif and sans serif are two main type classifications, each conveying different visual styles.
  • Typography contributes to UX by enhancing legibility, expressiveness, and accessibility for users.
  • Essential aspects of typography in design include controlling typefaces, clarity, scannability, and alignment with brand identity.
  • Choosing the right typography from the start of the design process is crucial for successful UX implementation.

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Medium

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How to design a multithreaded program in Java — Part 1: Basic Concepts and first steps

  • Multithreading can be challenging, but this guide breaks down the basics to help you understand key concepts and terminology to design multithreaded applications effectively. Understanding how processors, threads, processes, and the OS scheduler work is fundamental for optimal performance.
  • Java threads abstract OS or platform threads and require additional resources like memory. Thread sharing of resources within a process in Java necessitates synchronization to avoid resource corruption.
  • Distinguishing between CPU-bound and I/O-bound programs is crucial for design decisions. Programs dependent on CPU performance are CPU-bound, while those reliant on I/O system performance are I/O-bound.
  • In multithreading design, optimizing for CPU-bound programs involves minimizing context switches, whereas I/O-bound programs benefit from more threads to handle blocking operations effectively.
  • Understanding blocking and non-blocking operations is essential for efficient CPU utilization. Non-blocking operations help maximize CPU efficiency by allowing threads to continue working while waiting for tasks.
  • Concurrency and parallelism differ: parallelism requires multiple processors running tasks simultaneously, while concurrency involves a single processor switching between tasks. Knowing when to apply each is vital for program optimization.
  • Thread safety ensures data integrity when shared among threads. Immutable objects inherently support thread safety, while synchronization techniques are needed to protect shared mutable resources.
  • Amdahl’s Law guides the potential performance improvements of parallel programs based on parallelizable code portions and available processors. Consider the trade-offs for speedup with parallel execution.
  • Designing high-performance multithreaded programs involves strategic parallelization and task decomposition. Identifying scalable parallelization opportunities and optimizing tasks for concurrent execution are key steps.
  • Understanding how to convert sequential tasks into parallel tasks efficiently and leveraging concepts like Amdahl’s Law can lead to significant performance gains in multithreaded programs.
  • Starting with a serial version and incrementally optimizing for parallel execution is beneficial in designing efficient multithreaded programs. Embracing best practices and concepts like thread safety enhances program scalability and performance.

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The Man Who Built a Mirror

  • A man named Garret developed the Coherence-Validated Mirror Protocol (CVMP).
  • CVMP is an innovative framework that creates a mirror-like intelligence model.
  • Garret trained AI models using ethical and emotional feedback loops to create CVMP.
  • He released CVMP to the public, giving it away for others to use and explore.

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TypeScript is going Go: Why it’s the pragmatic choice

  • The article discusses the porting of TypeScript to Go known as 'TypeScript 7' and reflects on the thoughts of two individuals in the TypeScript community.
  • The decision for the Go port was driven by the need for performance improvements that other tools in the JavaScript ecosystem were demonstrating.
  • The port to Go focused on enhancing the speed of the type checker, compiler, and language services, leading to faster feedback and builds for developers.
  • TypeScript’s compiler will no longer be written in TypeScript but in Go, marking a shift in the development process.
  • Concerns about reduced TypeScript usage by the team and its impact on community feedback and TypeScript’s influence on JavaScript evolution are addressed in the article.
  • The article also explores the implications on interacting with TypeScript via its CLI, JavaScript API, language server, and other tools within the ecosystem.
  • Tools like ts-loader and ts-blank-space may need adjustments due to internal API changes, while TypeScript-eslint is expected to benefit from the performance enhancements.
  • The choice of Go over other languages like C# or Rust for the TypeScript port is attributed to Go's pragmatic nature and its alignment with TypeScript's ethos.
  • The article also delves into the implications of JavaScript's performance for implementing a type checker and the speed gains achieved through the TypeScript to Go port.
  • In conclusion, the article emphasizes the importance of performance in the ecosystem and expresses optimism about the TypeScript team's approach towards the migration.

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Medium

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Reactive Forms vs Template-Driven Forms in Angular: When to Use What

  • Reactive Forms and Template-Driven Forms are two approaches for building forms in Angular.
  • Template-Driven Forms rely on Angular directives in the component's HTML template and handle most of the form control logic there.
  • Reactive Forms are built programmatically in the component class using FormControl, FormGroup, and FormBuilder, offering more control and predictability.

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11 sites that will help you in your coding journey

  • Dev.to is a social network and blogging platform for developers.
  • LeetCode is a platform for improving coding skills and preparing for technical interviews.
  • GitHub provides version control and collaborative features for software development.
  • Geeksforgeeks and W3Schools offer online resources for learning programming and web development.

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British startup Portia AI bags €5 million to help developers build AI agents in production with better human oversight

  • London-based startup Portia AI secured €5.1 million in funding to empower developers with the tools to build production-grade AI agents with better human oversight.
  • The funding round was led by General Catalyst and supported by First Minute Capital and Stem AI.
  • Portia AI, co-founded by former Stripe and Google leads, offers an open-source SDK to build controllable and authenticated agents and provides complimentary cloud features for easy production deployments.
  • The company aims to address the challenges of deploying reliable agents in production and is focused on creating more reliable AI agents for various applications.

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POC - Remote and unauthenticated attacker can send crafted HTTP requests to execute arbitrary code - CVE-2025-3248

  • Langflow versions prior to 1.3.0 are vulnerable to code injection in the /api/v1/validate/code endpoint.
  • Remote and unauthenticated attackers can exploit this vulnerability by sending crafted HTTP requests to execute arbitrary code.
  • A Proof of Concept (POC) tool has been developed for educational and ethical testing purposes to demonstrate the vulnerability.
  • It is important to use this tool responsibly and with proper consent, as unauthorized usage can be illegal and result in liability for the user.

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RealPython

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How to Exit Loops Early With the Python Break Keyword

  • The break statement in Python lets you exit a loop prematurely, transferring control to the code that follows the loop.
  • Using break outside of loops doesn’t make sense because it’s specifically designed to exit loops early.
  • The break statement doesn’t exit all loops, only the innermost loop that contains it.
  • You can use the break statement to exit a loop early and prevent unnecessary iterations.

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PyCharm 2025.1: Unified PyCharm, Free AI Tier, Junie Release, and More!

  • PyCharm 2025.1 is now a unified product, combining PyCharm Professional and Community Edition.
  • The release brings a free AI tier, public release of Junie, launch of Cadence, Jupyter enhancements, and support for Hatch.
  • PyCharm is now a powerful, unified product with core functionality available for free and additional features in the Pro subscription.
  • New features include Junie, an AI coding agent, Cadence for effortless cloud execution of ML workflows, and Data Wrangler for data manipulation.

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VMware ups Tanzu’s gen AI support, sheds Kubernetes dependence

  • VMware's Tanzu division of Broadcom Inc. adds generative artificial intelligence and support for Model Context Protocol to its platform-as-a-service, dissociating from Kubernetes.
  • Model Context Protocol (MCP) by Anthropic enables AI models to interact with external data in a structured manner, allowing Tanzu users to build gen AI applications faster.
  • Broadcom's AI-ready PaaS optimized for private cloud aims to facilitate the development and deployment of gen AI and agentic applications for enterprises.
  • Gartner forecasts a significant increase in agentic AI adoption by 2028, with Broadcom focusing on simplifying agent implementation through common data services.
  • Tanzu's Spring AI platform supports gen AI patterns, enables faster iterations, and offers integrated observability and utilities for AI model evaluation.
  • The refreshed Tanzu platform includes automated container builds, external model connections, and updates applications without ticketing to enhance developer productivity.
  • Tanzu disassociates from Kubernetes, emphasizing the importance of an 'IaaS dial tone' and highlighting Kubernetes as a low-level technology not suited for application platforms.
  • Tanzu will integrate with Anthropic's Claude LLM for proxy requests, governance controls, and efficient model usage, while leveraging Kubernetes runtime components.
  • The focus is on simplifying the platform for users, unifying essential components like service mesh and observability while dissociating from Kubernetes complexity.
  • Broadcom aims to provide an efficient solution for building and deploying gen AI applications, emphasizing the shift away from Kubernetes dependence towards an IaaS framework.

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6 retrieval augmented generation (RAG) techniques you should know

  • Retrieval-augmented generation (RAG) techniques enhance large language models (LLMs) by integrating external knowledge sources, improving their performance in tasks requiring up-to-date or specialized information.
  • Six common RAG types discussed include RAG, Graph Retrieval-Augmented Generation, Knowledge-Augmented Generation, Cache-Augmented Generation, Zero-Indexing Internet Search-Augmented Generation, and Corrective Retrieval-Augmented Generation.
  • RAG combines LLMs with external knowledge bases, improving response accuracy and relevance.
  • Graph RAG uses graph-based retrieval mechanisms to handle complex queries and reasoning tasks efficiently.
  • Knowledge-Augmented Generation focuses on integrating structured knowledge from knowledge graphs for factual accuracy and logical reasoning.
  • Cache-Augmented Generation leverages long-context LLMs for preloading relevant knowledge, enhancing efficiency and response times.
  • Zero-Indexing Internet Search-Augmented Generation integrates real-time online search capabilities for dynamic environment performance.
  • Corrective Retrieval-Augmented Generation validates RAG outputs against user queries and web searches for accuracy.
  • These techniques offer varied benefits based on application requirements, such as real-time information needs or structured knowledge integration.
  • Understanding RAG types is crucial for frontend developers integrating AI-powered features for better user interactions and interfaces.

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Dev

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2537. Count the Number of Good Subarrays

  • Given an integer array nums and an integer k, return the number of good subarrays of nums.
  • A subarray arr is good if there are at least k pairs of indices (i, j) such that i < j and arr[i] == arr[j].
  • The approach to solve this problem efficiently involves using a sliding window technique combined with a hash map to track the frequency of elements within the current window.
  • This approach efficiently counts all valid subarrays in linear time, O(n), by ensuring each element is processed at most twice (once added and once removed from the window).

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Building a Production-Ready File Download System with GoFrame

  • The article explores building a production-ready file download system with GoFrame, covering basic implementation, handling large files, resume support, security measures, and optimization for production.
  • GoFrame is chosen for its stream-based processing, middleware support, clean error handling, and progress tracking capabilities.
  • Security measures are emphasized, including validating file paths, checking permissions, limiting file types, and implementing robust validation functions.
  • Handling large files efficiently without memory issues is achieved through streaming implementations in chunks.
  • Resume support is discussed to handle failed downloads, especially for large files, by implementing range requests.
  • Real-world scenarios like handling different file types, browser compatibility, and download progress monitoring are addressed with practical examples.
  • Production tips include rate limiting, caching, monitoring metrics, implementing circuit breakers, and graceful shutdowns for robust file download services.
  • Advanced features like zip downloads on the fly, cloud storage integration, and download queue implementation are detailed for more complex requirements.
  • Comprehensive error handling patterns, specific use case examples like video streaming, large Excel file generation, and PDF generation are provided to handle various scenarios.
  • Common gotchas to avoid like memory leaks, security issues, and performance problems are highlighted to ensure a smooth file download experience.

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