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Medium

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Clean Architecture: The Essential Developer’s Guide

Clean Architecture is a guide that helps in designing and organizing code efficiently by preventing coupling, separating responsibilities, and maintaining modularity.
It structures the system into layers that separate concerns and ensure dependencies point towards the core business logic.
Mastering Clean Architecture aids in understanding and resolving common coding issues, leading to better decision-making in projects.
View Clean Architecture as a flexible guide adaptable to project needs, allowing gradual and intelligent implementation based on context.
The layers in Clean Architecture include Entities (Domain), Use Cases, Adapters (Presentation), and Frameworks and Drivers (Infrastructure).
Entities layer contains the application's domain, defines key data entities, encapsulates business logic, and remains independent of frameworks or infrastructure.
Use Cases layer focuses on application logic, orchestrating system operations, and acting as intermediaries between Entities and external layers.
Adapters layer serves as the bridge between core system logic and the external world, adapting and translating data without adding business logic.
Frameworks and Drivers layer deals with technical implementation details, isolating the core system from technological dependencies and facilitating integration with external tools.
Decisions in each layer impact system functionality, with proper design ensuring maintainability, flexibility, and minimal cascading effects of changes.

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Medium

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Mastering Next.js with Clean Architecture, Redux, TDD & BDD (Part 1/6 — Introduction)

Building a scalable, testable, and maintainable Next.js application is challenging. Without a solid architecture, technical debt quickly accumulates, making updates and testing increasingly difficult.
This article highlights the importance of implementing Clean Architecture for a Next.js application and the issues that arise when the architecture is not followed.
It discusses the challenges of tightly coupling the business logic, UI, and API requests in a single component, and the negative impact on maintainability, testability, performance, scalability, and error handling.
The article also introduces the benefits of using Redux as a state manager and how it complements Clean Architecture to achieve modular and maintainable code.

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Towards Data Science

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How to Make Your LLM More Accurate with RAG & Fine-Tuning

Large Language Models (LLMs) like ChatGPT can be enhanced with RAG and fine-tuning for improved accuracy and customization.
RAG enables LLMs to access external knowledge sources during inference without changing internal weights, allowing for up-to-date information retrieval.
On the other hand, fine-tuning involves training LLMs with specific data to internalize domain-specific knowledge, enhancing task-specific performance.
RAG is useful for dynamic data retrieval and reducing computational requirements, while fine-tuning tailors LLMs for specific industries or companies.
Combining RAG and fine-tuning in RAFT offers deep expertise and real-time adaptability by enriching LLMs with domain knowledge and external information.
Both methods have distinct advantages: RAG for dynamic knowledge integration, and fine-tuning for stable, task-specific optimization.
RAG and fine-tuning can be used together to extend LLM capabilities and are valuable tools in AI applications, serving complementary purposes.
RAG requires fewer resources initially, but more during inference, while fine-tuning is resource-intensive during training but efficient in operation.
The choice between RAG and fine-tuning depends on the level of dynamism in the data and the need for specific task optimization.
Hybrid approaches like RAFT combine RAG and fine-tuning to leverage both methods' advantages for comprehensive LLM enhancement.

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Medium

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Fundamental Concepts of C Programming (12)

C programming allows for passing arguments to a program from the command line using the parameters int argc and char *argv[] in the main function.
It is crucial to handle command-line arguments carefully to prevent runtime errors by verifying the value of argc before accessing elements in argv[].
When passing numerical values as arguments, beginners should convert the string representations in argv[] to their corresponding integer values using functions like atoi() or strtol().
atoi() function converts a string to an integer, while strtol() function provides better error checking and allows for specifying the base of conversion.

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Medium

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from a nokia.

Web3 founders are seeking freedom through minimalism and reducing screen dependence.
A $50M Nokia system is proposed as an alternative to manage Web3 ventures.
The system involves receiving critical updates via SMS, fax, and check-ins.
The approach focuses on constraint and disconnection to achieve clarity and better decision-making.

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Pymnts

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D24 Fintech Group Expands Operations to More Than 100 Countries

D24 Fintech Group reports its financial technology solutions are now operating in more than 100 countries.
The company collaborates with partners across Europe, Asia, the Middle East and Africa to provide technology solutions for digital finance operations globally.
The solutions offered by D24 Fintech Group aim to improve financial inclusion, enhance cross-border payment infrastructure, and ensure compliance with global regulations.
D24 Fintech Group has recently completed projects including blockchain integration with global banking institutions and partnerships to enhance cross-border payment infrastructure.

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Engadget

329

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TikTok will try instituting a 10pm curfew on most teens

TikTok is introducing new features to improve safety for teens.
Time Away feature allows parents to set specific times when TikTok is accessible on their teen's device.
Parents can now see who their teen is following or is followed by, and accounts that have been blocked.
TikTok will implement a 10pm curfew for users under 16, with calming music and potential meditation exercises.

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Knowridge

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Revolutionary EV batteries: Drive farther, charge faster, and go green

The European Union (EU) is investing in new electric vehicle (EV) batteries that are cheaper, more efficient, and eco-friendly.
Researchers at SINTEF have developed a new battery recipe using affordable and sustainable materials such as lithium-nickel-manganese oxide (LNMO) for the cathode and a mix of silicon and graphite for the anode.
The battery's structure has been redesigned to prevent overheating, and self-repairing technology has been incorporated to extend the battery's lifespan.
These new EV batteries will allow drivers to go farther without charging, spend less time at charging stations, and have a reduced environmental impact.

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The Apple Post

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iOS 19 to be “the biggest revamp since iOS 7,” featuring a new design and more

Apple's next major iPhone software update, iOS 19, is rumored to bring the biggest revamp since iOS 7.
The update will introduce a new design language, loosely based on the Vision Pro's software.
The refresh will affect core elements like icons, menus, apps, windows, and system buttons, similar to iOS 7's transformation in 2013.
iOS 19 is expected to be unveiled at WWDC 2025 in June and released to the public in September alongside the iPhone 17.

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Pymnts

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Rakurai Raises $3 Million for Solana Staking Infrastructure Project

Rakurai, an infrastructure project centered around improving Solana staking, has raised $3 million.
The funding will support the launch of Rakurai's Solana staking platform, which aims to provide high-quality of service transaction landing.
Rakurai's technology focuses on optimizing transaction scheduling to improve block creation efficiency and increase validator rewards.
The seed funding round was led by Anagram Ventures, with participation from other investors.

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TheNewsCrypto

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Mythos Chain Unveils 300% APY Staking Program with Deflationary Model

Mythos Chain has unveiled an exclusive staking program with a deflationary model.
The program offers a high APY of up to 300%, providing an opportunity to earn significant rewards.
The platform will distribute a total of 50 million $MYTH tokens in staking rewards over the next 12 months.
The program's deflationary model aims to increase price appreciation by reducing the token supply.

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Bitsrc

126

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AI Coding Assistants: MCP-Powered Extensions vs. Fully Integrated Platforms

The Model Context Protocol (MCP) is an open standard from Anthropic, designed to facilitate seamless integration between AI models and external systems.
AI-powered code editors like Cursor AI use MCP to extend their capabilities dynamically by connecting to external MCP-compatible servers that provide additional functionalities such as version control interactions, CI/CD integration, web page analysis, and custom extensions.
Pros of AI coding assistants with MCP-powered extensions include extensibility, interoperability, modular approach, and independent upgrades. However, there are cons such as setup complexity, latency risks, and dependency on external services.
Fully integrated AI coding platforms like Hope AI offer deep integration with source control systems, CI/CD pipelines, and page rendering with benefits such as a seamless developer experience, better performance, stronger security, and optimized CI/CD automation.

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Sdtimes

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Microsoft has been working on a native implementation of TypeScript

Microsoft is creating a native implementation of the TypeScript compiler and tools.
The implementation aims to improve editor startup time, reduce build time, and optimize memory usage.
The codebase is being ported to Go for the native implementation, providing benefits like optimized native code support and automatic memory management.
The native implementation has shown significant improvements in performance, with a 10x speed boost observed for certain TypeScript projects.

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Byte Byte Go

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Facebook’s Database Handling Billions of Messages (Cassandra Deep Dive)

Cassandra was developed by Facebook to handle billions of messages for Inbox Search, enabling quick searches through user messages.
Inspired by Amazon Dynamo and Google Bigtable, Cassandra is decentralized, scalable, and fault-tolerant.
Key features include distributed storage, high availability, and no single point of failure, allowing easy scalability.
Cassandra's data model is like a multi-dimensional map with simple and super column families for flexible data storage.
The API offers insert, retrieve, and delete operations, focusing on key-based lookups for speed and scalability.
Cassandra's system architecture is highly scalable, using a peer-to-peer model with no central server and replication mechanisms.
Gossip protocols enable efficient communication between nodes, using Scuttlebutt to track node statuses for fault tolerance.
Cassandra optimizes read performance with in-memory lookups, efficient disk scans, and Bloom Filters for data retrieval.
Facebook used Cassandra for Inbox Search, achieving low-latency searches and impressive performance metrics.
Cassandra offers a highly scalable solution for real-time applications but may not suit complex query-intensive systems.

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CSS-Tricks

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Powering Search With Astro Actions and Fuse.js

Astro Actions in Astro bring the power of the server to static sites, allowing for enhanced functionality like search using tools such as Fuse.js.
Astro Actions enable using server-side code while mostly generating a static site, with the ability to handle features like search efficiently.
In this tutorial, a demo using Fuse.js for searching bookmarks in an Astro project is illustrated.
To start, a basic Astro project is set up, Tailwind CSS is added for styling, and initial content markup is created.
Bookmark data is added using the Astro Content Layer, allowing for data inclusion and retrieval from the build process.
The new bookmarks content collection is then utilized in the homepage to display recent bookmarks.
A search functionality is implemented using Astro Actions and vanilla JavaScript, followed by integrating Fuse.js for fuzzy search capabilities.
Fuse.js is used to enhance search functionality by providing fuzzy search capabilities for better results.
The structure of data returned by Fuse.js is adjusted in the frontend code to appropriately handle and display search results.
Astro Actions offer a glimpse into the potentials of server-side handling in static sites, paving the way for more advanced features and improvements.

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