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C++ vs. JavaScript: Acknowledge their differences while maintaining an unbiased perspective.

In C++, developers manage memory allocation and deallocation manually, which can lead to crashes or bugs.
JavaScript uses a garbage collector to handle memory automatically, eliminating the need for manual management.
C++ offers strict and structured programming with early error detection and better performance.
JavaScript provides flexibility and forgiveness with rapid prototyping and less boilerplate code.

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Medium

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268

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Serving Your Angular App from a Raspberry Pi: A Practical Guide

To serve your Angular app from a Raspberry Pi, first ensure that your Pi is running Raspberry Pi OS Bookworm.
Install Nginx on your Raspberry Pi, a lightweight and powerful web server that will serve your Angular app's files.
Build your Angular application for deployment using the production flag in your project's terminal. This will generate an optimized build of your app.
Move the contents of your Angular app's build output to Nginx's default web serving directory and configure Nginx to handle requests for your application.

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Medium

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Why Most Programmers Don’t Know How to Make Their Resumes

Many programmers struggle to create effective resumes that catch the attention of relevant employers.
Having a high-quality resume is crucial to avoid unnecessary questions from recruiters and save time.
Recruiters use search algorithms to rank resumes based on title and content.
To improve the chances of being noticed, programmers should include their specialization in the resume title and provide a professional photo.

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Dev

104

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Fetch API Advanced Features and Error Handling

The Fetch API is a modern network request approach in JavaScript, offering Promises for asynchronous operations and facilitating interaction with servers through a robust interface for managing requests and responses.
Introduced in 2015, Fetch replaced the cumbersome XMLHttpRequest (XHR) with its promise-based architecture, enabling cleaner asynchronous code.
The Fetch API syntax involves a fetch function that returns a Promise, allowing customization with options like method, headers, body, and more.
Advanced features of the Fetch API include error handling, stream handling, customizing requests, and dealing with edge cases like network failures and CORS issues.
Handling errors in Fetch requests requires explicit checks, and combining custom error handling mechanisms ensures robust application resilience.
Performance optimization strategies for Fetch usage include batch requests, caching, and leveraging compression techniques for improved efficiency.
Comparing Fetch with alternatives like XMLHttpRequest and Axios reveals differences in features such as promise-based architecture, interceptors, and JSON handling.
The Fetch API finds extensive use in industry applications like Single Page Applications (SPAs) and Progressive Web Apps (PWAs) due to its simplicity and versatility.
Debugging Fetch-related issues can be facilitated through tools like the Network tab, logging, and error boundaries to efficiently trace and handle errors.
Mastering the Fetch API's capabilities, advanced features, and debugging techniques is essential for creating efficient, scalable applications in the ever-evolving web landscape.

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Dev

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From JavaScript to Scala

The author reflects on their journey from JavaScript to exploring languages like Go before eventually immersing themselves in Scala more than a year ago.
Initially skeptical of Scala due to its functional reputation, the author's perspective shifted after delving into Oderskys' 'Programming in Scala' and other resources.
The expressive nature and creative potential of Scala resonated with the author, reminiscent of the early excitement with Node.js.
Scala's mental models and coding principles provided a satisfying coding experience, akin to Tetris pieces falling into place.
The author contemplates a series comparing JavaScript and Scala, focusing on aspects like async, multithreading, typing systems, control flow, and API design.
Topics for comparison include concurrency handling, type systems, for-comprehensions, pattern matching, options handling, custom operators, and pragmatic scalability.
The envisioned series also aims to cover practical aspects such as writing APIs in Scala, maintaining readability while promoting expressiveness, and building/deploying Scala applications.
The author sees Scala as a language that enhances their overall coding skills and problem-solving approach, without completely replacing other languages in their repertoire.
Scala's influence on the author has led to a more thoughtful coding style and a broader understanding of creative freedom in programming.
Exploring Scala has opened up new perspectives and opportunities for the author, fostering a deeper appreciation for languages that offer both power and flexibility.
Scala's impact on the author's mindset highlights the potential for others feeling stuck or unsatisfied in their coding journey to find creative fulfillment in exploring Scala.

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Dev

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TypeScript Generics Propagation in useOptimistic react hook

Generics in TypeScript facilitate reusable, type-safe code by parameterizing types and ensuring correct application of these types in various contexts, such as React components like the useOptimistic hook.
TypeScript generics, like , specify generic types for functions or classes, allowing for type-safe operations with different data types.
TypeScript's type inference can often eliminate the need for explicit generic annotations, inferring types from contextual information.
The useOptimistic hook example showcases the usage of generics for managing state and data updates in a user-friendly way.
By simplifying generic signatures using T and A as placeholders, the code becomes more concise and readable.
Generics propagation ensures consistency in type application through function calls, object manipulations, and component interfaces, promoting type safety in various contexts.
For components like useOptimistic, generics propagation guarantees the correct typing of state, actions, and updates throughout the component lifecycle.
Understanding TypeScript generics propagation leads to writing more maintainable, type-safe code and leveraging TypeScript's type checking capabilities.
Complex generic constraints and incorrect type assumptions are common pitfalls to avoid when utilizing generics in TypeScript.
Simplifying generic usage and leveraging TypeScript's type inference can enhance code readability while preserving type safety.

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Dev

172

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Please help me!

The article addresses a JavaScript error: Uncaught SyntaxError: expected expression, got ')', which occurs in the main.js file at line 1032.
The code consists of various sections, including the initialization of global data objects and modules such as Modal Control, Schedule Interactions, Qualification Matrix Interaction, Employee Edit/Delete Logic, and Machine & Group Edit/Delete Logic.
The code dynamically loads data from the API, populates form fields, handles modal interactions, and includes event listeners for editing/deleting employees, qualifications, machines, and groups.
It also implements features like opening modals, filling form fields, submitting form data via API calls, handling click events, and updating table data upon successful actions.
The script defines functions for processing form submissions, updating schedule cells, managing qualifications, editing/deleting employees, and machines or groups.
It demonstrates best practices such as event delegation, dynamic form population, error handling, and visual feedback for user interactions.
The code is structured to handle different types of interactions and includes error logging and alerts for user feedback.

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Medium

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How Dev Containers Made My Development Environment Effortless

Dev Containers allow for multiple development configurations without collision problems or compatibility issues.
Dev Containers make it easier to work with different versions of SDKs, such as Java, Python, and Ruby.
Dev Containers offer portability for development environments, enabling the ability to work on projects from different machines.
Dev Containers provide a hassle-free way to set up a development environment and manage multiple configurations.

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Medium

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Go Gopher base form: Foundations of the language

Go Gopher base form: Foundations of the language
A Go project consists of Go packages and a go.mod file.
Packages in Go define the structure of the code.
Importing packages can be done locally or externally.

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Dev

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A critical look at the modern programming landscape

The modern programming landscape is evolving rapidly, influenced by languages like Lisp, Smalltalk, io, and Unison.
Current development in programming seems confined to a space limited by past abstractions, prompting a call for revolutionary progress over evolutionary changes.
Challenges with managing state in programming, the complexities of distributed programming, distributed state, concurrency, tree structures, and text files are analyzed.
Issues like global vs. local state handling, distributed system design, stack-based concurrency control, and the limitations of file systems as abstractions are discussed.
Advocacy for languages to facilitate better state management, seamless remote function calls, and deeper integration with IDEs for enhanced programming experiences is highlighted.
The need for languages to support clear expression of state, simplify distributed programming, and enable meaningful diffs and sharing of objects is emphasized.
Proposals for improving concurrency, leveraging tree structures to model complex relationships, and bypassing text-to-binary transitions in programming are put forth.
The article concludes by urging the programming community to consider ambitious ideas that may have been ahead of their time and push for a new generation of programming languages.

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Dev

293

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What I learned from Vibe Coding

Vibe coding is a new approach in software development that leverages AI for code writing, resulting in increased productivity and faster completion of tasks.
Developers using AI can achieve efficiency gains and benefit from AI-driven code debugging, commenting, and refactoring.
Vibe coding involves focusing on high-level concepts, letting AI generate implementation details, and accepting AI suggestions with minimal review.
Cursor AI is an AI-powered code editor that enhances coding experience by assisting with tasks like code completion, generation, and understanding codebase.
Setting up Cursor involves keybinding configuration, choosing prompting language, and granting access to the full code to maximize its effectiveness.
Vibe coding with Cursor involves steps like project planning, guideline setting, writing prompts, reviewing output, and iterating through AI assistance.
AI tools like Cursor can generate code, fix issues, integrate frontend with backend, create unit tests, and prepare applications for deployment.
The future of software development with AI tools may involve a merge of roles, demand for proficiency in multiple languages, and a continuous learning process.
Efficient use of AI tools will provide a competitive advantage in the evolving landscape of software development, emphasizing the importance of continuous learning.
Despite advancements, manual intervention in software development will remain essential due to the evolving nature of AI technologies.

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Dev

229

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Refactoring 027 - Remove Getters

The article discusses the importance of removing or replacing getters with behavior-rich methods in object-oriented programming.
By removing getters, the code can address issues like anemic objects, excessive coupling, lost encapsulation, and violations of the Law of Demeter.
Steps provided include identifying getters, moving behavior into objects, and creating intention-revealing methods.
Sample code demonstrates the transformation from using getters to method-based behavior in an Invoice class.
The refactoring aims to centralize logic within objects, hide implementation details, reduce coupling, and prevent violations of design principles.
Removing getters helps objects behave more like real-world entities, strengthening the correspondence between code and reality.
Limitations include challenges in dealing with frameworks expecting getters and difficulties in refactoring legacy codebases.
The refactoring process involves finding, moving, and updating code to use new methods as behavior-rich alternatives to getters.
It's an intermediate level refactoring that improves code quality and aligns better with object-oriented principles.
Related refactorings include removing setters, extracting methods, and protecting public attributes.
The article also suggests using the MAPPER principle and AI tools for effective refactoring.

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Mjtsai

Investigating MacPaint’s Source Code

The source code of MacPaint, one of the launch applications for the Apple Macintosh in 1984, is being investigated.
The design and implementation of MacPaint are examined, focusing on buffer management and bucket filling algorithms.
Positive and negative aspects of the code style and architecture are identified, along with its pliability for change.
MacPaint's significance and impact on the development of digital graphic systems are emphasized.

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Dev

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I Built My First React App: A Beginner's Walkthrough of a Simple To-Do App.

I'm currently on a 6-month journey aiming to become a job-ready cross-platform app developer.
The author built their first React app - a simple To-Do List, and shared their learning experience as a complete beginner.
The app uses React, JSX, useState, basic HTML/CSS, and implements key concepts like components, state management, event handling, rendering lists, and conditional rendering.
The author plans to continue learning React Router, APIs, and React Native to build mobile apps.

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Dev

263

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Post 5: 🚀 From Slow Load to Lightning Speed: Quantifying Our React Performance Wins!

We achieved an approximate ~70% reduction in page load time, leading to lower bounce rates, increased conversion rates, and happier users.
Our React build time has been reduced by approximately 80%, resulting in faster iteration cycles, more frequent deployments, and more productive developers.
Key tools and technologies used include CRACO, webpack, and React's lazy loading.
The performance optimization efforts have resulted in a faster and more efficient app for users and developers.

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