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Dev

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Build Your Own npm Empire: Internal Registries for Monorepos (Verdaccio, Artifactory, and More) đź‘‘

  • Internal registries like Verdaccio, Artifactory, and GitHub Packages are essential for managing a monorepo efficiently and avoiding dependency chaos.
  • Verdaccio is a lightweight option suitable for small teams, while Artifactory offers enterprise-grade features but comes at a higher cost.
  • GitHub Packages is integrated with GitHub and ideal for teams already using GitHub Actions, but storage limits may be a concern for private packages.
  • Key steps for building an npm empire include choosing the right registry, publishing packages, enforcing version control, automating processes, and prioritizing security and documentation.

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Medium

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How Coding Brushup Prepares You for Real-World Coding Challenges

  • Coding Brushup courses focus on practical learning, providing project-based training and problem-solving exercises to prepare learners for real-world coding challenges.
  • Students work on real applications, mini-projects, and capstone challenges across various courses like Python, React, Full Stack Developer Training, etc., to enhance their skills and stay updated with current job market demands.
  • The Full Stack Developer Training integrates front-end, back-end, and database development, offering a comprehensive view of software engineering and hands-on experience with modern technologies.
  • Coding Brushup emphasizes hands-on projects in every track, including tasks like setting up APIs with Spring Boot and deploying projects on cloud platforms, essential for software engineering roles.
  • Courses involve working with widely used tools and technologies like Git, GitHub, Docker, AWS, and more, simulating professional workflows to equip learners with industry-standard skills.
  • The platform provides mentorship, community support, and career guidance to ensure learners feel supported while tackling complex topics and preparing for tech interviews.
  • Dedicated modules on Data Structures & Algorithms, mock interviews, and resume-building help learners prepare for technical interviews and gain an edge in the job market.
  • Coding Brushup offers specialized programs in Java, Python, React, Spring Boot, Web Development, Cloud Computing, and Data Science, tailored to specific domains and job roles.
  • With a focus on hands-on projects, industry-standard tools, and skill-based learning, Coding Brushup aims to make learners job-ready developers in various tech domains.
  • Coding Brushup prepares individuals for the challenges faced by modern developers and offers a holistic learning experience with courses aligned with industry standards.

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Dev

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How to setup the SvelteKit starter template on Appwrite Sites

  • Appwrite Sites simplifies the process of deploying web applications by providing hosting and scaling capabilities.
  • The SvelteKit starter template on Appwrite includes a clean UI, integration with Appwrite's SDK, and pre-configured deployment settings.
  • To deploy the SvelteKit starter template on Appwrite, users can utilize the Appwrite Cloud console or the Appwrite CLI for creating and deploying sites.
  • Upon successful deployment of the SvelteKit starter template on Appwrite Sites, users can test the site, view deployment details, and explore other available templates.

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Javacodegeeks

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Micronaut CLI (mn) Features Overview

  • The Micronaut CLI (mn) simplifies the creation and management of Micronaut projects, offering commands for project scaffolding, testing, and runtime operations.
  • Micronaut is a JVM-based framework for high-performance microservices and cloud-native systems, emphasizing compile-time processing for efficiency.
  • Key Micronaut features include compile-time DI, fast startup, GraalVM compatibility, reactive support, built-in web server, and cloud-native readiness.
  • The Micronaut CLI streamlines project setup, code generation, local running, testing, and feature management for improved development workflows.
  • Installation on macOS can be done via SDKMAN or manual download, while Windows users can manually install Micronaut CLI for native execution.
  • The Micronaut CLI offers features like data support, security configurations, messaging integrations, tracing, cloud deployments, and testing frameworks.
  • Developers can filter features with terminal commands to focus on specific capabilities like security, AWS integrations, data repositories, and cloud deployments.
  • Micronaut CLI empowers developers to tailor their projects with necessary components efficiently, enhancing modularity and performance.
  • By exploring and selectively including features, developers benefit from fine-grained control over their application stack for cloud-native and serverless architectures.
  • The Micronaut CLI's feature-rich toolkit and filtering options enable developers to optimize their tech stack and streamline microservice development.
  • Sign up for the newsletter to access Java skill development resources and stay informed about the latest Micronaut updates.

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RealPython

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Nested Loops in Python

  • Nested loops in Python involve placing one loop inside another, enabling iteration over multiple sequences or repeated actions.
  • Use cases for nested loops include handling multidimensional data, generating patterns, and performing tasks with multiple layers of iteration.
  • You can break out of nested loops using the break statement when a specific condition is met.
  • Disadvantages of nested loops include potential performance bottlenecks, poor readability, and variable scoping issues.
  • Nested loops are essential for working with complex data structures and optimizing code efficiency.
  • Python offers for loops and while loops as primary loop types for iterating over sequences.
  • Creating nested loops involves placing one loop inside another to handle multidimensional data efficiently.
  • An example of nested loop syntax in Python is using an outer loop iterating over an iterable, with an inner loop inside.
  • Nested loops can be compared to clock hands moving at different speeds but working together to complete different cycles.
  • Practical examples of nested loops include printing patterns, generating visual displays, and handling complex iterations.

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Dev

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High-Level System Design: WhatsApp Chat

  • WhatsApp Chat high-level system design includes functional and non-functional requirements along with assumptions.
  • Functional requirements involve 1-to-1 chat, last seen feature, group chat, and text-only communication with end-to-end encryption.
  • System design considerations include capacity estimations for users, messages per day, and real-time communication needs.
  • Implementation details cover features like last seen status using Cassandra, 1-to-1 chat with WebSockets, and group messaging with Kafka clusters.

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Medium

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Vibe Codingg……..

  • Vibe coding, introduced by Andrej Karpathy in February 2025, is a new approach that involves giving instructions to AI in everyday language instead of writing code line by line.
  • It simplifies coding by following a loop of describing the desired outcome, AI generating code, testing, and refining the prompt until the desired outcome is achieved.
  • Platforms like Firebase Studio are leading the way in vibe coding, allowing developers to describe functionality in plain language and generate code instantly for rapid app and backend development within the Firebase ecosystem.
  • While vibe coding offers benefits in terms of speed, experimentation, and idea prioritization, challenges such as quality and maintainability need to be addressed. The future of programming might focus more on expressing ideas verbally rather than typing syntax.

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How to setup the Nuxt starter template on Appwrite Sites

  • Appwrite Sites simplifies web application deployment, hosting, and scaling.
  • Nuxt starter template offered by Appwrite includes a clean UI and SDK integration.
  • To deploy the Nuxt starter template on Appwrite, you can use the Appwrite console or CLI.
  • After successful deployment, you can access the site and manage configurations through the Appwrite dashboard.

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Medium

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My Amazing Adventures with Liferay Portal: From Fascination… to Disenchantment ​

  • The author shares their journey of working with Liferay Portal from fascination to disenchantment.
  • Initially unfamiliar with Liferay Portal, the author had to learn to use and develop with it for a project managing franchises in Spain.
  • Despite challenges in installation and limited documentation, the author found Liferay Portal to be an excellent tool for developing applications.
  • The author worked on various projects using Liferay Portal, benefitted from version updates, and provided training on the tool.
  • However, Liferay Portal's architectural changes led to relearning the tool and increasing dependencies, causing difficulties for the community.
  • The author decided to no longer provide professional services on Liferay Portal due to constant changes, uncertainties, and the neglect of the supporting community.
  • While the author will continue using the tool for personal projects, they express frustration with the current state of Liferay Portal and its impact on professional endeavors.
  • The article concludes with an offer of free courses with certificates and affiliate links to support the author's work.

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Medium

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Exploring libp2p with Golang

  • Libp2p is a modular system of protocols, specifications, and libraries that simplifies peer-to-peer communication.
  • It was developed by Protocol Labs to facilitate peer-to-peer applications, allowing nodes to act as clients and servers.
  • Libp2p simplifies connecting nodes, discovering peers, secure communication, multiplexing streams, and managing transport protocols.
  • Decentralization is important as it enables direct communication between nodes, resource sharing, and routing data without centralized servers.

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Javarevisited

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Top 10 Tools Data Scientists and Machine Learning Developer Should Learn in 2025

  • Tools and libraries play a crucial role in enhancing the efficiency of Data Scientists and Machine Learning developers.
  • Data Science and Machine Learning require powerful tools for tasks such as data normalization, cleaning, visualization, and model building.
  • In 2025, essential tools for Data Scientists and Machine Learning developers are being highlighted as crucial for dealing with large datasets effectively.
  • Previous essential tools recommendations for Software developers, Java developers, Python developers, and Web Developers have been shared, emphasizing the importance of having the right tools in various fields.

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Logrocket

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How to build a secure file upload system in Astro

  • In Astro, a secure file upload system can be built by integrating with a headless Digital Asset Manager like Cloudinary for managing media assets such as images and videos.
  • A DAM offers centralized media management through APIs, making it suitable for Astro's component-based architecture.
  • The tutorial covers setting up an Astro project, integrating dependencies like Tailwind CSS and React, configuring a database using Astro DB, and seeding initial data.
  • Components and layouts are implemented in Astro using React and Svelte, emphasizing reusable UI structures for consistent design across multiple pages.
  • Product showcase features like slideshows and list views are created to display products and associated media in a visually appealing manner.
  • Secure file upload is implemented using Cloudinary's SDKs, facilitating file uploads from the client to the server, and storing media URLs in the ProductMedia table.
  • The tutorial covers uploading media files to Cloudinary, handling form submissions, dynamic routing for product updates, server actions for fetching and updating product data, and deleting media files from Cloudinary.
  • Drag-and-drop file upload interfaces, form validations, and integration of Cloudinary credentials in the app for secure file uploads are crucial aspects of building a secure file upload system in Astro.
  • Overall, the tutorial emphasizes the use of Astro's capabilities along with external services like Cloudinary to create a robust and secure file upload system to enhance user experience in web applications.

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Logrocket

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Why no one reads your product docs, and how to fix it

  • People often don't read product documentation not because they're lazy, but because it's not user-centric and well-designed.
  • Product documentation, when treated as internal products, can align teams and streamline processes effectively.
  • Common documentation failures include overgeneralization, overengineering, and oversharing, leading to unreadable content.
  • One-size-fits-all documents fail to engage readers effectively, leading to fragmented reading experiences.
  • Effective documentation should cater to multiple audiences with varying roles and responsibilities.
  • Modern documentation approaches include narrative specs, decision docs, and living wikis that are contextual and actionable.
  • Tools like Notion, Coda, and Confluence can enhance documentation clarity if used intentionally.
  • Tactical strategies to improve documentation readability include doc kickoffs, documentation sprints, and comment rituals.
  • Templates like LogRocket's PRD template, Good Docs project templates, and Stripe API docs can help structure documentation effectively.
  • Good documentation boosts onboarding, decision-making, and project efficiency, emphasizing the importance of user-centric design.

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Dev

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CORS : The Browser Bouncers Explained

  • Cross-Origin Resource Sharing (CORS) acts as a security measure for internet systems, functioning like a bouncer at the browser's gate to control access for requests from different origins.
  • The Same-Origin Policy (SOP) is a crucial security rule that limits interactions between sites to prevent unauthorized data access across different origins.
  • SOP restricts websites from reading data from other origins, ensuring data protection unless the origins are the same.
  • CORS allows servers to specify which origins can access their resources, serving as a permission slip for browsers to share data across different origins.
  • The process of CORS involves the browser sending an Origin header in the request, which the server checks against its allowed list before granting access.
  • CORS requests follow either a simple flow for basic requests or a preflighted flow for more complex requests that require additional verification.
  • Handling CORS effectively involves whitelisting origins, validating requests, and setting proper headers to ensure secure cross-origin communication.
  • Misconceptions about CORS include its distinction from authentication or authorization, its role in protecting browsers rather than servers, and its relevance to non-browser clients.
  • Understanding CORS is essential for backend developers to maintain secure systems and facilitate smooth cross-origin sharing of data.
  • By implementing CORS best practices, such as proper validation, header settings, and preflight handling, developers can ensure secure communication between different origins.

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Dev

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Lofty AI Like Platform Development: A Complete Guide to Building a Fractional Real Estate Investment App

  • Lofty AI has revolutionized real estate investment by allowing users to invest in property through fractional ownership.
  • Tokenized ownership on platforms like Lofty AI provides investors with daily rental income, secure transactions, and liquidity.
  • Key features needed for real estate investment platforms include fractional ownership, smart contracts, user dashboards, and AI recommendations.
  • Blockchain ensures transparency, security, and automation in real estate platforms, enhancing reliability.
  • AI-driven functions such as property valuation, risk scoring, and user matching make platforms smarter and user-friendly.
  • Developing a platform like Lofty AI involves defining product vision, market research, scalable tech stack, core feature development, and scaling strategies.
  • Monetization strategies for platforms like Lofty AI include earning from transaction fees, premium services, processing fees, and listing charges.
  • Building a platform like Lofty AI may cost between $55,000 to $105,000, covering research, UI/UX, backend development, mobile app (optional), testing, and more.
  • Real-world examples like Fundrise, Pacaso, and Fintor can inspire and provide insights for building successful real estate investment platforms.
  • Challenges in platform development include legal complexity, user education, token liquidity, and system security, which can be overcome with the right approach.

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