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A Simple chat server in rust, Shat!

A Rust programmer embarked on building a TCP chat server named 'Shat' to explore networking and data flow.
Inspired by Tsoding Daily on YouTube, the goal was to enable telnet connections for messaging with rate limiting and bans.
Step 1 involved setting up essential components like networking, threads, channels, and HashMaps in the main.rs file.
Step 2 focused on establishing the TcpListener to listen for incoming connections and initializing the message channel.
Step 3 introduced the Message enum for client-server communication and the Client struct to manage client details.
Step 4 outlined the client function responsible for handling individual client connections and sending/receiving messages.
Step 5 presented the server function, which processes messages, manages client states, and implements rate limiting and bans.
Step 6 finalized the main function by incorporating the client function, setting read timeouts, and handling client thread creation.
Step 7 offered an optional IP redaction mechanism for sensitive information in logs.
The completion of the project resulted in a functional chat server that can be tested by running 'cargo run' and connecting via telnet.

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Dev

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Effective Design Patterns in Go

The article discusses ten design patterns in Go language and their applications in various internet scenarios.
The Singleton Pattern ensures only one instance of a class is created globally, facilitating global unique control.
Advantages of the Singleton Pattern include ensuring global uniqueness of resources and providing a convenient global access point.
The Factory Pattern encapsulates object creation logic and supports polymorphism and easy extension of new products.
Advantages of the Factory Pattern include separating object creation from usage and complying with the Dependency Inversion Principle.
The Observer Pattern establishes one-to-many relationships to notify observers of subject state changes, suitable for event-driven scenarios.
Advantages of the Observer Pattern include broadcast-style event notification and easy expansion of new observer types.
The Decorator Pattern dynamically adds functions to objects through composition, suitable for scenarios with functional layering.
Advantages of the Decorator Pattern include avoiding inheritance hierarchy explosion and supporting free combination of functions.
The Strategy Pattern encapsulates algorithms into independent strategy classes for dynamic switching at runtime.
Advantages of the Strategy Pattern include decoupling the algorithm from the client and facilitating algorithm extension and replacement.

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Medium

374

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Ctrl + Alt + Socrates: Philosophy, Refactored

The author initially wanted to study only philosophy but pursued information technology as well based on the advice of parents who wanted them to have a career. They studied philosophy with true interest and IT with minimal effort. Despite being offered to attend a more computer-science focused school, the author was satisfied with the more business-oriented IT program.
After completing a Ph.D. program in History and Philosophy of Science and Technology, the author realized they didn't have a clear idea of their niche in academia and decided to pursue a career in IT instead. They started as a junior web developer and progressed to roles such as an analyst, project manager, team lead, and product delivery manager.
The author's abstract thinking, writing, and communication skills acquired from studying philosophy have been advantageous in their IT career. Studying philosophy shaped their ideas and overall approach, even though they didn't work in academia.
The author finds satisfaction in the fact that they now attend meetings, engage in abstract thinking, and discuss concepts with colleagues as part of their job. Their career in IT allows them to apply philosophical thinking.

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Dev

365

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7 JavaScript Interview Questions to Test How Smart You Really Are

JavaScript interview questions are designed to test candidates' understanding and problem-solving skills.
Common challenges include counting with delays using setTimeout(), handling asynchronous operations with Promise.all(), and understanding the 'this' keyword.
Closures in JavaScript allow functions to remember variables from their creation context, which is useful for maintaining state.
Using .bind() helps ensure correct 'this' context when passing functions as arguments to other functions.
JavaScript treats functions as first-class citizens, allowing them to be assigned to variables, passed as arguments, and returned from functions.
Prototypal inheritance in JavaScript involves objects pointing to other objects (prototypes) in a chain.
Understanding these concepts is crucial for mastering JavaScript and avoiding common pitfalls.
Know-how of JavaScript nuances like timing, context, and function behavior is essential for writing efficient and bug-free code.
Being able to explain the 'why' behind code functioning is as important as knowing 'what' works.
Mastering JavaScript involves grasping these nuances and being able to apply them confidently in interviews and real-world scenarios.

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Dev

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Understanding JavaScript Deobfuscation in Web Scraping

Obfuscation is the act of making information more complex and harder to understand, while deobfuscation reverses this process.
Web developers often use obfuscation techniques to make their code harder to read for web scrapers.
Obfuscation methods for web pages include CSS and JavaScript techniques.
CSS obfuscation involves tools like Webpack that generate unique class names, making scraping difficult.
JavaScript obfuscation with btoa() function encodes strings to make text less readable in HTML attributes.
Deobfuscation strategies for web scraping include using CSS selectors with substring matching and XPath with wildcards.
CSS substring matching allows scraping of stable parts of obfuscated class names.
XPath provides more complex logic for locating elements based on attributes or text content in HTML.
Decoding base64-encoded content with atob() can help understand the markup structure of obfuscated data attributes.
Overcoming obfuscation challenges is crucial for web scrapers, and understanding deobfuscation techniques is essential for successful data extraction.

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Idownloadblog

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Dopamine v2.4.4 released to introduce additional bug fixes and improvements for jailbreakers

Dopamine v2.4.4 released for jailbreakers.
The update includes bug fixes and improvements.
Improvements include fixing issues with tweak injection, in-app respring button, and error messages.
The update is recommended for all jailbreakers and supports various device and firmware combinations.

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Dev

248

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Understanding State Updates in React with a Simple Marble Game.

When updating the state directly, there may be inconsistencies if multiple updates are fired off quickly.
Functional state update ensures that each update is accurate, regardless of the speed or number of updates.
In web development, especially with React, utilizing functional state update is crucial to preventing UI bugs and reflecting the correct state.
Understanding the difference between direct and functional state updates helps manage state effectively, making the application robust and reliable.

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Dev

169

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What is Model Context Protocol (MCP), and why is it trending in 2025?

Model Context Protocol (MCP) is a standardized approach for organizing information fed to large language models (LLMs) like ChatGPT or Claude.
MCP ensures models always have relevant information and allows for structured, reusable context management.
In 2025, MCP is trending due to the increasing complexity of generative AI systems and the need for modular, scalable context handling.
Products are moving towards system design using protocols like MCP, with companies such as OpenAI and Anthropic formalizing context management through similar approaches.
MCP breaks context into modular components like user profiles, task information, system rules, and past conversations.
Context builders in MCP select and compose relevant components into a full prompt, making the process predictable and programmable.
MCP enables building AI agents that can switch tasks, remember user preferences, use external tools, and work in long workflows.
It also allows for designing reusable context packs for various purposes like customer support, coding help, research assistants, and AI tutors.
Pros of MCP include modular context, ease of debugging and updating, scalability for agents and teams, and compatibility with memory and tools.
However, implementing MCP can be complex, it may over-engineer simple prompts, and there is no universal standard yet as it continues to evolve.

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Medium

266

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AI-Powered Book Recommendation System: Using NLP to Analyze Writing Style Patterns | Complete…

Traditional book recommendation systems focus on metadata and user ratings, but often overlook the importance of writing style.
A new recommendation system uses natural language processing and stylistic analysis to suggest books based on writing style, rather than just genre.
The system extracts stylistic features from books and creates a database to implement the recommendation algorithm.
While the system has limitations, potential enhancements include reader feedback integration and temporal modeling.

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Medium

378

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How I Built a Coding Assistant Using MCP Server and LLM Agent

Building a coding assistant using MCP Server and LLM Agent eliminates the tedious and error-prone task of copying and pasting code snippets.
The project aimed to create a coding assistant that directly accesses and reasons over live code content using the MCP and a Large Language Model (LLM) agent.
The Model Context Protocol (MCP) bridges the gap between LLMs and local files/environment by defining a lightweight protocol specification.
MCP Server serves as a gateway exposing tools like read_file and list_directory for LLM agents to interact securely with external data sources.
Custom tools can be added to an MCP Server by writing a Python function and using the @mcp.tool() decorator.
An MCP Server can be implemented as a Python process, as demonstrated in the project using FastMCP.
The project utilizes LangChain and LangGraph to create an agent that orchestrates interactions between the LLM and MCP tools in a ReAct style loop.
The system prompt guides the LLM's behavior, directing coding tasks and tool utilization effectively.
The FastAPI backend manages the connection between the LLM, MCP tools, and ReAct logic, facilitating seamless interaction.
A Streamlit UI provides a user-friendly interface for interacting with the coding assistant and specifying the project's root directory.

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Dev

386

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Jason Gorman's Mock Abuse

Jason Gorman's video highlights the problems of excessive use of mocks in testing.
The issues include difficulty in refactoring, dislike for the test suite, and focusing on high coverage over behavior validation.
Instead, Gorman suggests focusing on creating sections of code that have a clear purpose, exposing a public API, and not worrying about the number of classes or functions internally.
The video emphasizes the importance of easily changing the code through proper design and testing.

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Dev

382

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Why I Never Use Optimistic Updates (And Why You Might Regret It Too)

Optimistic updates refer to changing the UI before backend operations complete.
The author shares reasons for not using optimistic updates.
The article highlights the issues of edge cases, rollbacks, consistency, and limited resources in implementing optimistic updates.
Instead, the author recommends using pessimistic updates for better user experience and avoiding unexpected bugs.

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Dev

382

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Software Design Principles with Ruby (Applying SOLID)

SOLID is a set of five object-oriented design principles introduced by Robert C. Martin to improve code quality and make it scalable and maintainable.
The five SOLID principles are: Single Responsibility Principle (SRP), Open/Closed Principle (OCP), Liskov Substitution Principle (LSP), Interface Segregation Principle (ISP), and Dependency Inversion Principle (DIP).
A case study on applying SOLID principles to a report generator application.
The refactored version of the report generator application implements SOLID principles to improve code maintainability, scalability, and flexibility.

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Hackaday

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Vibing, AI Style

Vibe coding, coined by Andrej Karpathy, refers to using AI coding assistants to iterate back and forth in coding.
While vibe coding may work for simple applications and popular languages, it's not a panacea for non-coders.
Vibe coding should be reserved for expert coders and trivial projects, as it demands knowledge to corral the AI.
There are security concerns with vibe coding, as it may open up a whole attack surface if not properly implemented.

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Medium

189

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A Beautifully Simple Number Theory Problem (2025 Indian Math Olympiad)

Alice is attempting to leave only one number on the board.
She can remove two integers with a sum that is even and replace them with their average.
For n=3, Alice is unable to further reduce the numbers.
For n=4, there are only two choices for the first move, neither of which results in a single integer on the board.

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