Eric HABETS’ Post

This article I stumbled upon argues that the Ada programming language, which developed for the U.S. Department of Defense in the late 1970s, might be good to use again. This is because of the following characteristics of Ada: speed, security, compactness, and bug prevention. According to the article, Ada is fast. It can keep up with other languages like C++ and Rust. It's also secure thanks to it being rigid and statically typed. That allows it to avoid many type-related vulnerabilities. Thirdly, it's compact. Ada programs are small which helps with memory issues. Lastly, it helps prevent bugs thanks to a feature called Design by Contract. According to the article,"[This feature] lets developers build promises and requirements directly into their code. It’s a way of saying, ‘This function will not run unless you give it this, and I guarantee it will give you that in return". These strict rules really help in preventing errors. The only issue I see with Ada overall is how annoying it would be to code. The restrictions, while helpful in a lot of different ways, slow down the process of writing code. This is only one of the negatives of Ada which shows that we shouldn't replace all of our code with it. Rather, we should consider its use more so than we currently are. https://lnkd.in/eVYhh9Sr

Functional Reactive Programming in JavaScript Functional Reactive Programming in JavaScript: An In-Depth Exploration Introduction Functional Reactive Programming (FRP) is a programming paradigm that combines functional programming and reactive programming. It has gained significant traction in recent years, especially within the JavaScript ecosystem, owing to the rise of frameworks and libraries designed to support reactive paradigms, such as RxJS, Redux-Observable, and Cycle.js. This article serves as a definitive guide, providing a comprehensive exploration of FRP in JavaScript, including its historical context, technical underpinnings, practical applications, and advanced implementation strategies. The concept of Functional Reactive Programming has its roots in the Haskell programming community during the late 1990s, with key influences from concepts such as reactive programming and functional programming. The term itself was arguably popularized by Conal Elliott and Paul Hudak through their work on the Fran librar https://lnkd.in/gymRC6s5

Functional Reactive Programming in JavaScript Functional Reactive Programming in JavaScript: An In-Depth Exploration Introduction Functional Reactive Programming (FRP) is a programming paradigm that combines functional programming and reactive programming. It has gained significant traction in recent years, especially within the JavaScript ecosystem, owing to the rise of frameworks and libraries designed to support reactive paradigms, such as RxJS, Redux-Observable, and Cycle.js. This article serves as a definitive guide, providing a comprehensive exploration of FRP in JavaScript, including its historical context, technical underpinnings, practical applications, and advanced implementation strategies. The concept of Functional Reactive Programming has its roots in the Haskell programming community during the late 1990s, with key influences from concepts such as reactive programming and functional programming. The term itself was arguably popularized by Conal Elliott and Paul Hudak through their work on the Fran librar https://lnkd.in/gymRC6s5

Modern C++ and Rust Programming : A Comparative Educational Guide from Concepts to Applications ( 484 Pages ) PDF Format ================================= Download : https://lnkd.in/duxPWyVZ Throughout my long journey with C++ since 1991 until now, I have witnessed many developers express frustration over the complexities and challenges of programming in this language. Despite its undeniable power and the distinguished status it confers upon its users, C++ remains a relatively low-level language that demands a deep understanding of hardware, system architecture, processor behavior, and the distinctions between compiled and interpreted languages. These technical intricacies make C++ a difficult language for many, especially those who prefer to avoid dealing with such low-level details. However, since around 2016, a new language named Rust has emerged as a promising alternative, aiming to address many of the problems that both programmers and companies face when using C++. These issues include unrestricted manual memory management prone to subtle bugs, cumbersome compilation processes, legacy header file challenges, unsafe multithreading and concurrency models, and the lack of an integrated package manager to simplify dependency management and build processes. Rust has made remarkable progress in tackling these concerns, while maintaining execution speeds comparable to highly optimized C++ programs. This development has sparked a spirited debate between supporters of both languages. The C++ community, proud of the language’s rich heritage spanning over three decades, recognizes its critical role in powering complex software, operating systems, simulators, programming languages, financial systems, and games. Meanwhile, Rust has attracted adoption by major companies seeking improved memory safety, safer concurrency, and enhanced developer productivity—features that distinguish it even after many improvements to C++ compilers and standards since 2011 through 2023. As a seasoned C++ programmer, my initial allegiance naturally leans toward C++. Yet, I maintain a fair and open-minded view of modern technologies, including Rust, which I have studied repeatedly over the years. Though my familiarity with C++ and its ecosystem has often led me to pause my exploration of Rust, I have recently committed to a deeper understanding and closer comparison between the two languages. Download : https://lnkd.in/duxPWyVZ

While reading “Modern C++ Programming with Test-Driven Development” by Jeff Langr, I came across a simple yet powerful concept that is often overlooked — Hamcrest-style assertions. In my work, I primarily use the GoogleTest (GTest) framework, so the examples below are based on it. GTest documentation itself advises avoiding “classic form” assertions such as `EXPECT_EQ(actual_value, expected_value)`. These can sometimes produce misleading or incomplete diagnostics, and in some cases even pass unintentionally due to implicit conversions — for example, when comparing different types such as `bool` and `string`. By contrast, Hamcrest assertions (using `EXPECT_THAT(actual_value, matcher)`) make comparisons explicit and provide far more informative failure messages. Instead of only showing that two values differ, they describe why they differ and how the comparison was evaluated. Another major advantage is the rich set of built-in matchers available — such as `Eq`, `Ge`, `StartsWith`, `Contains`, `AllOf`, and many others. They allow you to write expressive, readable tests that clearly communicate intent, without extra helper functions or complex conditions. In real-world projects, this expressiveness and clarity significantly reduce debugging time and improve collaboration. When multiple developers review failed tests, clear and descriptive messages help the team quickly understand what went wrong without digging into the code. Even though it might seem like a small change, using Hamcrest matchers can make your tests not only more readable, but also more reliable and maintainable — a key goal of any robust test suite. You can see the difference between classic and Hamcrest assertions in the picture below.

Understanding Inheritance in Object-Oriented Programming using Ben 10! Inheritance is one of the core principles of Object-Oriented Programming that allows us to create hierarchical relationships between classes. Let me explain this concept using everyone's favorite childhood hero - Ben 10! >> What This Image Illustrates: The diagram shows Ben Tennyson at the center, representing the PARENT CLASS (or Base Class). He possesses the Omnitrix, which gives him the fundamental ability to transform. Surrounding him are his various alien forms - Heatblast, Four Arms, and other transformations. Each of these represents a CHILD CLASS (or Derived Class) that inherits properties from Ben. > How Inheritance Works Here: • PARENT CLASS (Ben): Contains common attributes like the Omnitrix, transformation ability, and basic hero characteristics that ALL aliens share • CHILD CLASSES (Aliens): Each alien inherits these base properties BUT also has unique specialized abilities:  - Heat blast: Inherits from Ben + Fire manipulation powers  - Four Arms: Inherits from Ben + Super strength and combat skills  - XLR8: Inherits from Ben + Super speed abilities >> Real-World Benefits: > Code Reusability: Write common functionality once in the parent, automatically available to all children > Maintainability: Update the parent class, and all child classes benefit > Logical Structure: Mimics real-world relationships ("is-a" relationship) > Extensibility: Add new alien forms without changing existing code > Why This Matters in Software Development: Just like Ben doesn't need to relearn how to be a hero with each transformation, in programming we don't need to rewrite common functionality for each class. Inheritance helps us build efficient, scalable, and organized code structures. Think of it as: Every alien "is a" Ben with special powers added on top! #OOP #ObjectOrientedProgramming #Inheritance #SoftwareDevelopment #Programming #CodingConcepts #TechEducation #LearnToCode #Java #Python #JavaScript #SoftwareEngineering #Ben10 #TechExplained

🖥️🛠️ The Journey of Null: Lessons for Everyday Code — In Part 3 of The Journey of Null, we step beyond language features to explore patterns, practices, and reflections that shape how we live with null in everyday code. 🔗 Read more: https://lnkd.in/dcWayE7Z #DotNet #AspNetCore #VSCode #CSharp #DevCommunity #Programming

After years of writing Java, I’ve started to think that “clean code” is one of the most misunderstood ideas in software engineering. Too often, it ends up like that famous “draw a horse” comic — perfect at the beginning, over-engineered and over-abstracted by the end. (This Toggl comic is hilariously accurate 😄) 👉 https://lnkd.in/dtWdypWR In practice, KISS and YAGNI matter far more than dogmatic “clean code.” You don’t need ten layers of indirection to be professional. You just need clarity. Modern Java makes it easier than ever — records, concise syntax, Spring Boot auto-config — tools that let you build something that’s simple, not simplistic. Clean doesn’t mean clever. It means: you can understand it at a glance, even on a Monday morning before coffee. #Java #CleanCode #KISS #YAGNI #SoftwareDesign #SpringBoot

𝐂𝐨𝐦𝐩𝐚𝐫𝐢𝐬𝐨𝐧 𝐨𝐟 𝐩𝐨𝐩𝐮𝐥𝐚𝐫 𝐩𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐥𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 𝐢𝐧 𝟐𝟎𝟐𝟓-𝟐𝟎𝟑𝟎 Every year, new lists rank the "top programming languages," and project owners feel pressured to pick “the best” one. We dug deep into the pros and cons of the current market leaders. Can you answer these critical questions? 🔹 Why can't Python ship as easily as it codes despite being everywhere? 🔹 How can JavaScript's flexibility negatively impact your app? 🔹 Can Ruby (on Rails) still get you to market faster than any other language? 🔹 Is Go’s simplicity always an advantage? 🔹 Where is TypeScript becoming a real competitor to Ruby and Go? All the answers to these questions and much more, you can find in our latest blog post:  https://lnkd.in/dSgxDVAV Which language do you think will still be relevant in 2030? #WebDevelopment #SoftwareDevelopment #ProgrammingLanguages #ProductManagement #StartupTech