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Stop Using `console.log` — These Debugging Tricks Will Blow Your Mind

Console.log may be a common debugging tool, but it's not efficient for real software development due to lack of context and clutter in code.
Debuggers like VS Code and Chrome DevTools offer better alternatives, such as setting breakpoints for precise control over code execution.
Watch expressions allow tracking variable values in real-time without manual logging, providing insights without clutter.
Conditional breakpoints help focus on specific code conditions, improving efficiency by stopping at critical points.
Using 'debugger;' keyword in JavaScript allows pausing code execution at specific points without setting breakpoints manually.
Utilizing the Network tab in browser DevTools helps debug API calls by examining requests, responses, statuses, and timings.
Stepping through code using debuggers like Sherlock Holmes enables thorough inspection, uncovering async bugs and logic errors.
Logging libraries like 'debug,' 'winston,' and 'pino' provide structured and efficient logging options for better debugging practices.
Time travel debugging with 'console.trace' assists in understanding stack traces, especially beneficial in complex async flows.
Employ linters and type systems like TypeScript and ESLint to catch typos, type mismatches, and common mistakes before runtime, improving code quality.
Embracing smarter debugging tools enhances efficiency, saves time, and reduces debugging struggles for developers, promoting better code quality and productivity.

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Towards Data Science

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Use PyTorch to Easily Access Your GPU

Using PyTorch, one can easily access and use the capabilities of their GPU for computational tasks, even without machine learning applications.
GPUs have become essential in fields like machine learning and large language model training due to their ability to perform highly parallelizable computations.
PyTorch, developed by Facebook's AI Research Lab, supports GPU operations through CUDA and efficient tensor manipulation.
PyTorch's Tensor data structure and CUDA support allow it to directly access GPU hardware for accelerated numerical computations.
Setting up the development environment for PyTorch involves installation on systems with Nvidia GPUs along with necessary drivers.
Running comparisons of computational tasks using NumPy on CPU versus PyTorch on GPU shows significant performance improvements with PyTorch.
Moving data to GPU memory in PyTorch can further enhance performance, providing over 10x speedup compared to NumPy in certain cases.
Examples show PyTorch's superior performance over NumPy in matrix operations, with up to 20x improvement in execution times.
Combining CPU and GPU code for computational tasks can lead to overall runtime improvements, even for non-Machine Learning numerical operations.
Leveraging PyTorch with an NVIDIA GPU can significantly accelerate computationally intensive tasks, making it a valuable tool beyond traditional machine learning applications.

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Medium

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Performance Boost in C++ with Parallel STL: Accelerate Your Code with std::execution Policies

Using std::execution policies like par_unseq in C++ can significantly improve performance, particularly in numerical tasks such as matrix or signal processing.
Linking the Intel TBB library with -ltbb is necessary for proper execution of parallel algorithms like std::execution::par.
Important considerations include handling simultaneous writes to variables, exceptions in parallel code, and debugging challenges.
Commonly used STL algorithms that support an execution policy parameter include std::reduce and scan algorithms, offering improved performance in parallel and associative operations.

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Dev

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Debugging Embedded Systems: Practical Tips for Developers

Debugging embedded systems can be a complex process, requiring attention to hardware setup and careful debugging techniques.
Start by checking hardware components like power supply, connections, and peripherals before diving into code.
Utilize serial output for early debugging messages and invest in hardware debuggers for features like breakpoints and variable monitoring.
Referencing datasheets, isolating problems, and using tools like logic analyzers can help in troubleshooting common embedded system issues.

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Dev

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Turbocharge Your Monorepo: Battle-Tested Tips for Nx, Turborepo, and Bazel Pros 🚀

Working in a monorepo without proper tooling can be challenging, but tools like Nx, Turborepo, and Bazel can drastically improve efficiency.
Nx helps manage dependencies efficiently by generating dependency graphs, caching tasks, and enabling cloud caching for team collaboration.
Turborepo optimizes speed with pipeline rules, global installs elimination, and remote caching options, enhancing performance significantly.
Bazel offers enterprise-grade capabilities like hermetic builds, remote execution, and persistent workers for optimized development processes.

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Dev

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What the Heck is an API? (Explained Like You're Just Trying to Get Coffee)

An API, or Application Programming Interface, is like a waiter taking orders between a customer (user application) and the kitchen (server) in a coffee shop analogy.
The menu in the coffee shop represents API documentation, detailing available options and how to request them.
APIs abstract complexity, hiding the inner workings of the server from the client application, similar to how a waiter shields customers from the kitchen chaos.
Making an API request is akin to placing a coffee order with the waiter, using specific terms and formats understood by the API.
APIs process requests on servers, analogous to the kitchen preparing orders based on the instructions given by the API.
Receiving an API response mirrors the waiter bringing back a finished coffee order to the customer, indicating the result of the request.
APIs enable different applications and services to communicate in a standardized way, facilitating interactions like logging in with Google, booking travel, or checking the weather.
Developers leverage APIs to build faster, innovate, and connect various software systems, devices, and data sources seamlessly.
In essence, APIs act as intermediaries that streamline communication between software applications, making the digital world efficient and interconnected.
So, next time you encounter the term 'API,' envision a helpful waiter, a menu, and a bustling kitchen, and appreciate how APIs power various digital interactions.

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Medium

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The Most Underrated First Job in Tech? It’s Not What You Think!

Modern tech support embedded in real product and engineering teams offers valuable experience across the tech stack and helps in niche specialization.
Tech support provides exposure to various tech areas like DevOps, data, backend, and security, enabling individuals to gain clarity and confidence in their career paths.
Individuals in tech support develop problem-solving skills by automating processes and creating tools, turning them into real developers who can effectively communicate and stand out in the industry.
Tech support builds essential skills such as system thinking, product depth, communication, and resilience, making it a strong foundation for a successful career in the tech industry.

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Medium

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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

220

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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