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I Helped A Founder Sell His Product To My Company

An employee recounts a scenario where he was asked by his boss to attend a meeting with a young individual pitching new invoice software.
Despite feeling exhausted from a long day of meetings, the employee, who is also the IT guy, was requested to fill in for the boss.
Upon entering the meeting, the young men appeared disappointed as they expected to pitch to the boss, not the IT guy.
Despite the initial hesitation and disappointment, the employee felt sympathy for the young men's situation of not meeting the expected person for the pitch.

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Dev

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Create a simple Virtualized List/ Sliding Window

When dealing with UI performance issues in React, simplifying heavy DOM operations becomes crucial, especially when rendering large lists, lazy loading, and optimizing images.
As applications scale up, rendering large lists conventionally using the map function can lead to creating a large number of DOM elements, increasing CPU/GPU usage and causing performance issues during user interactions like scrolling or CRUD operations.
The concept of virtualized lists focuses on rendering only what is visible to the user, improving performance by dynamically displaying a subset of rows based on user interaction like scrolling.
One common approach to efficiently display thousands of rows is the Sliding Window technique, involving iterating over a collection of items with a fixed-size window that moves across the collection.
To implement a virtualized list, key components like start and end pointers, the length of the window, and logic for updating visible rows based on user interaction need to be defined.
The provided code showcases a VirtualizedList component that efficiently renders a large list by dynamically updating the visible items based on scrolling, optimizing performance by rendering only what is needed.
Through the use of absolute positioning and updating indices based on user scrolling, the VirtualizedList component ensures that only the visible items are rendered on the UI, enhancing performance and user experience.
By leveraging the Sliding Window technique and virtualized rendering, the VirtualizedList component effectively handles large lists with improved performance and reduced resource consumption.
The implementation of virtualization techniques like Sliding Window enhances the user experience by ensuring smooth scrolling, reduced DOM manipulation, and optimal resource utilization in React applications.
Virtualized lists play a crucial role in optimizing UI performance in React applications, providing a scalable solution for efficiently rendering and managing large sets of data.

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Dev

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The easiest way to connect your .NET app to Gemini using MaIN.NET.

MaIN.NET simplifies the integration of large language models like Gemini from Google into .NET applications with minimal setup.
MaIN.NET is an open-source framework that standardizes how .NET apps connect to various LLM backends, including Gemini, without the need for custom HTTP logic.
The tutorial provides a step-by-step guide on configuring your app to use Gemini through MaIN.NET and includes an example project for interaction with the model.
By using MaIN.NET, developers can quickly and cleanly connect their .NET applications to Gemini without manually handling HTTP setup, JSON parsing, or authentication flows.

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Dev

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Mastering `useReducer` in React: A Step-by-Step Guide for Real-World State Management

Managing state predictably in modern React development is crucial for maintainable, scalable applications.
useReducer in React is ideal for complex state logic, dependencies on previous state, and centralized state transitions.
Reducers are pure functions that return a new state based on the current state and an action, ensuring immutability.
Combining useReducer with useContext, using useCallback, and structuring actions clearly are recommended for mastering state management in React.

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Logrocket

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Understanding Next.js’s middleware vulnerability

A critical auth bypass vulnerability (CVE-2025-29927) in Next.js allows attackers to skip middleware checks by manipulating the x-middleware-subrequest header in versions 11.1.4 through 15.x.
Managed hosts like Vercel were safe, but self-hosted apps using middleware for access control are at risk.
Upgrade to patched versions (13.5.6, 14.2.24, 15.2.2+) or implement auth checks directly in protected routes if immediate upgrade is not possible.
The vulnerability affects all versions of Next.js from 11.1.4 to just before the patched releases (13.5.6, 14.2.24, 15.2.2).
Attackers exploit the vulnerability by faking the x-middleware-subrequest header, enabling them to access protected routes in applications.
Next.js middleware functions between request and response cycles, commonly used for actions like error handling, authentication, and authorization.
The x-middleware-subrequest header is manipulated by attackers to trick Next.js into bypassing security measures and accessing protected routes.
Apps hosted on Vercel, Netlify, or using Cloudflare with properly configured rules were automatically protected from the vulnerability.
To address the vulnerability, update Next.js to the latest version or add extra security checks within protected routes as a temporary measure.
Be wary of relying solely on HTTP headers for security decisions, as they can be easily manipulated by malicious actors.

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Dev

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GOSync – My open-source SSH file sync app with tray & encryption

GOSync is a lightweight desktop application that securely syncs files over SSH, supporting both password and key authentication.
The app features a GUI built with PySide6, encrypted settings saved locally, auto and manual sync options, file upload/download over SCP, and a two-panel file view.
It also includes tray support with quick actions, cross-platform builds for Windows and Linux, and is available on GitHub for installation.
No cloud services or telemetry are involved, giving users full control over syncing their files the way they prefer.

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Medium

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Sealed Classes in Java: Deep Dive with Interview Questions

Sealed classes in Java provide explicit control over which classes can extend or implement a class/interface.
They were introduced in Java 15 (preview) and finalized in Java 17, enforcing restricted inheritance and strong encapsulation.
Sealed classes restrict which other classes or interfaces may extend or implement them, promoting controlled inheritance in the class hierarchy.
For example, in a sealed class Shape, only Circle and Rectangle are allowed to extend it.

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Medium

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What is ChatGPT?

ChatGPT is an AI-powered chatbot developed by OpenAI. It is based on the GPT (Generative Pre-trained Transformer) model, trained on vast amounts of text data.
ChatGPT is known for its ability to understand and respond in natural human language, making it efficient in providing accurate information on various topics.
The core structure of ChatGPT is based on the neural network called the 'Transformer,' which learns language through word order, context, and meaning.
When a user interacts with ChatGPT by asking a question, it analyzes the context, compares it with its training data, and generates an appropriate response based on predictions.

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Dev

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AI Agent faster memory access

Redis offers ultra-low latency access for AI agents, allowing almost instantaneous memory retrieval critical for real-time decision-making in applications like autonomous vehicles and customer service bots.
It supports vector similarity search, making it efficient for AI agents relying on semantic memory and vector embeddings, thus serving as a competitive option to standalone vector databases.
Redis provides in-memory persistence with configurable durability options, allowing AI agents to retain memory across sessions while benefiting from the performance of in-memory operations.
With support for Pub/Sub messaging and stream data types, Redis is suitable for multi-agent systems, enabling real-time updates and coordination among agents in distributed environments.
Redis Cluster facilitates scalability through horizontal partitioning, enabling large-scale deployments with multiple AI agents sharing a common memory space.
Redis boasts ease of integration with major programming languages, simplifying its adoption in AI pipelines and frameworks like TensorFlow, PyTorch, LangChain, or Rasa.
A sample TypeScript CLI app demonstrates storing AI agent conversations in a Redis instance for faster memory access, showcasing the benefits of using Redis with LangChain for efficient data storage and retrieval.
The provided sample code includes details on setting up Redis, integrating with LangChain, and storing prompt/response pairs in Redis hashes, showcasing the practical implementation of Redis for AI agent memory.
The project structure includes key components such as index.ts for CLI entry point, redisClient.ts for Redis setup, and langchain.ts for LangChain chain configuration, ensuring a systematic approach to implementing Redis in AI applications.
Redis commands like 'keys', 'type', 'hgetall', and 'FLUSHALL' are highlighted, showing how to interact with Redis for managing stored data efficiently.

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Towards Data Science

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Building AI Applications in Ruby

Ruby is often not mentioned in the context of AI applications compared to Python, but it can be a better language for building web apps with AI integration, as it offers simplicity and developer happiness.
The complexity in modern web apps, especially with single-page applications (SPAs) like MERN stack, has led to longer development times and higher costs.
Ruby on Rails (Rails) is highlighted as a framework suited for rapid development of quality apps with AI integration, offering simplicity and efficiency compared to Django in some aspects.
For AI integration, modern Rails tools like Hotwire, Turbo, and Stimulus allow crafting SPA-like experiences without heavy JavaScript, providing a mix of ease and functionality.
The rise of microservices architecture in contrast to monoliths has added complexity to app development, yet it offers scalability and the flexibility of a polyglot tech stack.
Python and Ruby, though unique in philosophy and design principles, share similarities like high-level interpretation, dynamic typing, object-oriented programming, readable syntax, and wide package ecosystems.
Recent AI-based gems in Ruby, such as RubyLLM for multi-turn conversations, Neighbors for nearest-neighbors search, Async for non-blocking I/O tasks, and Torch.rb for training deep learning models, are making waves in the Ruby community.
Building web applications with AI integration rapidly and cost-effectively often demands a monolithic architecture focusing on quality apps delivered speedily, with Ruby on Rails emerging as a favorable choice.
Research in AI or training ML models from scratch may still favor Python due to its ecosystem and libraries; however, for integrating LLMs into web apps, Ruby is considered a superior option.
Overall, choosing between Python and Ruby for AI applications depends on the project's requirements, with Ruby offering simplicity and efficiency for web development with AI integration.
The article concludes with a hint at a forthcoming part three, diving into a simple experiment on building a web app with AI integration, encouraging readers to explore Ruby's potential for their projects.

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Medium

How Transformers Changed the AI Game: From NLP to Vision

Transformers revolutionized AI by addressing limitations of previous models in processing sequences.
They excel in capturing context across long sequences and can scale effectively with data and compute power.
Models like BERT, GPT, and T5 have enabled pretraining on vast text corpora and fine-tuning for various tasks.
Google's ViT introduced in 2020 treats images as sequences, leveraging Transformers and surpassing CNNs on large datasets.

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Dev

225

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Basic OOP - Part 01

Python is completely object-oriented where everything is considered as an object.
A class in Python serves as a blueprint, containing data (properties/variables) and functions (behaviors/methods).
OOP benefits include reusable code, organized structure, data protection through encapsulation, and easier debugging.
Using classes and objects in Python promotes cleaner code structure, safer data handling, and the concept of inheritance for reusing properties and methods.

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Dev

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🐍 Part 2: 5 More Python Scripts That Will Save You Hours Every Week!!

Automate daily journal entries by emailing yourself using Python with the script provided.
Convert CSV files to JSON easily and quickly with a Python script for efficient data handling.
Perform find and replace operations in multiple files simultaneously using a Python script for bulk updates.
Download YouTube videos as MP3 audio files using a Python script for offline listening.

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Medium

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Mediocrity Is Good Enough, Unless You’re a Coder

Software engineers may get in conflict with other members of organizations due to the nature of their work having measurable impact and a way to evaluate correctness.
Most employees in companies may not see a direct impact of trying harder, and their performance is often judged based on their boss's feedback.
In many organizations, employees typically wait for instructions from their boss and may not have clear standards to measure if they have done the task right.
Coding, being a field that has a way to evaluate correctness, sets software engineers apart from other jobs where the output may not have such clear evaluation criteria.

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Logrocket

166

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UX isn’t complete without content design — here’s why

Content design is a user-centered approach to planning, creating, and structuring content in digital products, emphasizing designing with words as part of user experience.
Content design matters as it ensures task completion, improves user experience by providing timely and helpful information, and enhances accessibility and inclusion by prioritizing clear language and structured format.
Content designers craft clear, helpful digital content to balance user needs and business objectives, responsible for writing, testing UI copy, structuring content for clarity, and contributing to voice, tone, and branding guidelines.
Content designers collaborate with cross-functional product teams, using tools like Figma for design, Grammarly for writing, LogRocket for analytics, and WordPress for content management.
Core principles of user-centered content creation include conducting user research before writing, setting clear objectives aligned with user needs and business goals, structuring content for scannability and clarity, designing for accessibility and inclusion, and using data and feedback to iterate.
Content design is crucial throughout the product development process, integrated early on from discovery to launch and iteration phases, involving collaboration with researchers, UX designers, product managers, and developers.
Content design differs from UX writing and content strategy, as it takes a holistic view of the user experience beyond words alone, complementing the role of UX writers who focus on microcopy and content strategists who set the foundation for content planning.
Commonly asked questions about content design address its process, the role of content designers, differences from UX design, UX writing, and copywriting, required skills, and the importance of starting early in a project.
Content design is essential for creating seamless digital experiences that guide users and solve problems, ensuring relevant content that helps users achieve their goals and ultimately drive business success.

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