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Java never goes out of style: Celebrating 30 years of the language

Java, celebrating its 30th anniversary, remains prevalent in the industry and ranks highly in popularity among programming languages.
Development started in 1991 by James Gosling and team, with the first public release in 1995 by Sun Microsystems, later acquired by Oracle.
The philosophy behind Java's creation focused on efficiency and practicality, contributing to its ongoing success.
Java continues to adopt features from other languages, ensuring its relevance and appeal to developers.
The 'write once, run anywhere' nature of Java and the Java Virtual Machine (JVM) have been significant factors in its popularity.
OpenJDK was a milestone making Java more open, leading to the creation of OpenJDK.
Oracle's switch to releasing two new versions of Java each year since 2017 has allowed gradual and controlled improvements in the language.
The transition of Java EE to Jakarta EE in 2017 reflects Java's evolution and ongoing modernization efforts.
Apache Maven, a key tool for Java build automation, significantly simplified software building processes in Java development.
Java's influence on dependency management systems has extended to other programming languages, contributing to open-source ecosystems.

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Medium

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The Real Reason Great Flutter Apps Feel Smooth — (Hint: It’s These Widgets)

Flutter animations serve essential functions beyond aesthetics by signaling change and guiding attention in apps.
Animated Widgets in Flutter simplify the creation of captivating effects without requiring advanced animation skills.
Exploration of various animated widgets with practical examples: AnimatedCrossFade, AnimatedSwitcher, Padding, AnimatedPositioned, and more.
Unique features of each animated widget: From centering inner widgets to creating lively text effects and sliding in fashionably.
Importance of assigning unique Keys to children for effective animations.
Applications and properties of different animated widgets, such as creating smooth backgrounds, swapping widgets, and animating in elements.

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Medium

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This One Interface Made My C# Code Flexible and Future-Proof

The author discovered significant issues in a client project's codebase upon joining, including numerous static classes and tightly coupled logic.
The project had seen multiple tech leads in a short period, signaling problems from the start.
The codebase, originally a prototype, had grown into a critical operations tool used by over 200 individuals daily.
Making changes to the code felt precarious, as every adjustment led to side effects and regression bugs.
The author's task was to stabilize and modernize the complex and intertwined code.
During the initial week, no new code was written; instead, the author focused on mapping dependencies and identifying patterns.
A major issue identified was the code's dependency on every other part, making it difficult to isolate logic for testing purposes.

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Medium

118

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Salaries in the Tech Industry — What Influences Your Income?

Tech jobs are highly sought after, and factors influencing developer salaries were analyzed using the Stack Overflow Survey 2024 data.
The survey encompassed insights into programming languages, working conditions, and salaries of over 50,000 developers worldwide.
Salaries in the tech industry vary widely, ranging from six-figure incomes to lower salaries.
Factors like professional experience, education level, and location significantly impact salary levels.
A Random Forest model was built to predict salaries based on different variables.
Location emerged as the most crucial factor influencing salaries, with over 51% influence.
Professional experience followed, accounting for about 20% of salary influence.
The type of developer role, programming languages mastery, and company size also play a significant role in determining salaries.
Education was found to have a lesser impact on salaries compared to practical skills and experience.
Remote work and age were identified as factors with lesser influence on salary levels.
Moving to a country with higher salary levels may be more financially rewarding than focusing solely on educational qualifications or specific programming languages.
These insights can aid both new and experienced developers in career planning and setting realistic salary expectations.
For detailed technical information on the analysis, the complete code and methodology are available on the author's GitHub repository.

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Dev

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Productivity with AI: A Double-Edged Boost

The integration of AI tools like ChatGPT and Cursor has immensely boosted productivity in coding and learning for the author.
While AI can generate polished code, it often lacks integration, over-engineers, or introduces bugs, highlighting the importance of human oversight and critical thinking.
Passive AI usage results in a 5x productivity gain, but staying engaged and questioning suggestions can lead to a 10x productivity boost.
Active engagement with AI, continuous learning, and skill development convert AI from a shortcut to a productivity multiplier.
Quality software development involves thorough reviews, careful consideration of suggestions, and alignment with existing codebase to avoid rework and ensure long-term quality.
The author values AI tools like GenAI but emphasizes the importance of thoughtfulness, discipline, and wisdom in software development practices.
AI-assisted development has been transformative for the author, yet the core values of clarity, care, and craftsmanship remain paramount.
Balancing AI assistance with human insight and skill development is crucial for achieving long-term success in software development.

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Dev

157

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Understanding Prototypes in JavaScript

JavaScript handles inheritance through prototypes, not classes.
Prototypes are internal links to other objects every object in JavaScript has.
Prototype chain is formed by linking prototypes of objects.
Proto vs prototype differences are important to understand.
JavaScript uses prototypes for inheritance.
ES6 classes are related to prototypes.
Importance of understanding prototypes in JavaScript.
Prototype serves as a fallback mechanism when properties or methods aren't found.
Prototype chain ends when a prototype is null.
Article 'Understanding Prototypes in JavaScript' delves deep into the concept.
Recommended read for beginners and those revisiting advanced concepts.
JavaScript's prototype system explained thoroughly in the article.
Prototype chains, constructors, and inheritance mechanisms explained in the article.
Article clears up how JavaScript inheritance works under the hood.
Concept of prototypes plays a key role in JavaScript.
Inheritance in JavaScript is facilitated by prototypes, a key concept to grasp.

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Infoblox

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Vexing and Vicious: The Eerie Relationship between WordPress Hackers and an Adtech Cabal

An observational study perturbing VexTrio led to revelations of shared traffic distribution systems (TDS) and software elements with commercial adtech firms, benefiting from malware relationships.
Los Pollos, exposed as part of VexTrio, halted push link monetization, leading to compromised websites updating to a new TDS named Help TDS.
DNS TXT record campaigns revealed two distinct sets of C2 servers redirecting to VexTrio and Help TDS following Los Pollos' announcement.
Help TDS's relationship with VexTrio was uncovered to be longstanding, with other TDSs like Partners House and BroPush sharing common characteristics.
Malware operators' use of commercial adtech firms could expose their identities through affiliate networks, potentially leading to their downfall.
The article delves into TDS behaviors, DNS connections, and affiliates' interactions, uncovering the complexities of the malicious adtech ecosystem.
Detailed analysis of rare artifacts, codebases, and lures shared among TDSs highlights the interconnected nature of the malicious adtech landscape.
Affiliate networks such as VexTrio, Partners House, and BroPush utilize deceptive tactics for push advertising, potentially exploiting victims worldwide.
The article shines a light on the intricate web linking malicious TDS operators, affiliate networks, and website hackers, revealing patterns and shared resources.

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Logrocket

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If your research isn’t inclusive, neither is your design

Inclusive design starts with understanding users to create solutions that work for them, incorporating diverse perspectives.
Inclusive UX research involves intentional inclusion of marginalized groups in research processes.
It's essential to have at least 10–20% of research participants from diverse backgrounds for more insightful results.
Inclusive research aims to cater to users with disabilities, older adults, non-native speakers, and various cultural backgrounds.
Including underrepresented users ensures adaptability and accessibility of products to a broader audience.
Steps to enhance inclusive research include recruiting diverse participants, building trust, and integrating insights into design decisions.
Continuous reflection and improvement lead to more inclusive products that cater to a wider audience.
Inclusive research helps in debunking myths like benefiting only a small user group or slowing down the design process.
Inclusive research leads to better products for everyone by improving user experience.
Reflecting on inclusivity during research cycles and busting myths are crucial for creating inclusive design.

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Medium

300

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The Lifecycle of an Architecture Decision (and How to Document It Without Crying)

Architecture decisions are often made in the midst of sprints with ambiguous requirements and strong opinions.
Documentation of architecture decisions often gets overlooked until someone asks for it, leading to challenges and frustrations.
Issues with the architecture start to surface, such as duct-taped caching and verbose system communication, prompting the need for a reevaluation.
Indications within the team suggest that the current architecture might need revisiting due to visible cracks and ongoing workarounds.

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Dev

384

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Becoming an AI-native engineer

AI-native engineers are experiencing a range of emotions about AI's impact on their careers, with excitement prevailing.
AI is viewed as a multiplier of an engineer's capabilities, not just a tool.
Effective prompting is crucial for quality AI output at every level of engineering experience.
AI-generated code should be trusted but verified, with thorough review and understanding before implementation.
AI offers benefits beyond code generation, including aiding in understanding complex topics and architectural patterns.
Continuous learning is essential for engineers to stay updated with the evolving AI landscape.
Experimentation with different AI tools and models is recommended to find what works best for individual workflows.
Building hands-on experience with AI is key to becoming proficient as an AI-native engineer.
AI can be leveraged not just for code generation but also for various aspects of an engineer's role, like system design and problem-solving.
The article emphasizes the importance of viewing AI as a valuable tool for engineers in enhancing productivity and problem-solving skills.

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Dev

214

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When Code Reviews Go Too Far: Finding the Balance Between Quality and Velocity

Code reviews are essential for improving code quality but can sometimes hinder progress by going too far.
Issues like perfectionism, scope creep, analysis paralysis, exhaustive reviews, and rigid standards can lead to delays and frustration.
To address these problems, focus on risk-based review intensity, time-boxing, clear guidelines, fostering the right culture, and utilizing tools such as automation and AI reviewers.
Balancing code reviews involves calibrating intensity based on risk, time-boxing reviews, setting clear guidelines, fostering the right culture, and using automation tools.
Ultimately, the goal of code reviews is to deliver value to users while maintaining a sustainable codebase, not striving for perfection.

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Medium

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Here’s the Only Way That Worked for Me to Level Up as a Frontend Developer

The author faced a frustrating situation where theoretical knowledge did not translate into practical skills.
Despite reading extensively on software engineering and various concepts, the author struggled to apply that knowledge.
Realizing that knowledge alone was insufficient, the author decided to stop learning passively and start building something challenging.
The author initiated the Onepin.io project, a tool for users to manage important information in one place.
Unlike tutorials with ready-made solutions, Onepin.io required the author to problem-solve, make mistakes, and connect different aspects of development.
Working on Onepin.io revealed blind spots and prompted deeper learning.
The project not only improved coding skills but also cultivated an engineer's mindset.
The article emphasizes the importance of practical experience over theoretical knowledge.
While tutorials are beneficial for beginners, active project building is crucial for growth and skill development.
The advice given is to choose a meaningful project, commit to it from beginning to end, and embrace the challenges and learning opportunities it presents.
Building, struggling, and completing a project is highlighted as the path to leveling up as a developer.

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Dev

310

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What Makes a Computer Fast CPU or RAM? Do you know about i5, i7, 10th Gen, 12 Cores?

RAM and CPU are essential components of a computer's speed and performance.
RAM (Random Access Memory) stores memory temporarily, allowing for multitasking.
CPU (Central Processing Unit) acts as the brain of the computer, executing instructions from hardware to software.
CPU, a type of processor, comes in 32-bit or 64-bit versions, with 64-bit offering greater data handling capacity.
A GPU (Graphics Processing Unit) specializes in rendering images and videos.
The number of cores in a system, like 8 or 12 cores, indicates the capability to handle multiple tasks simultaneously.
Each core functions like a mini-CPU, allowing for more efficient multitasking and processing.
SSDs (Solid State Drives) provide faster data access compared to traditional hard drives.
More RAM enables better multitasking abilities, while a faster CPU results in quicker decision-making and processing.
Understanding computer architecture - RAM, CPU, storage - is crucial for optimizing performance.

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Medium

323

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Nibble: Your Friendly AI Coder That Fixes Code Step by Step

Nibble is an AI tool designed to help with coding issues, providing step-by-step guidance for fixing code errors.
It aims to simplify the coding process by offering clear, manageable suggestions without overwhelming users.
The tool is described as a patient coding buddy that assists in identifying and rectifying mistakes in a user's code.
Nibble follows an educational approach, explaining errors and solutions in a user-friendly manner.
The AI tool is beneficial for both beginners and experienced coders, making it suitable for a wide range of users.
Users have found Nibble to be a game-changer in their coding experience, offering practical assistance.
The tool is accessible on nibble.ai and focuses on aiding developers in improving their code.
It provides guidance on Python script errors and website layout issues, among other coding challenges.
Nibble's step-by-step assistance helps users understand coding problems and learn how to fix them effectively.
The tool's user-friendly approach makes it a valuable resource for individuals struggling with coding obstacles.
Nibble's emphasis on simplicity and clarity sets it apart from complex coding solutions.
Overall, Nibble serves as a supportive tool that enhances the coding process for individuals at various skill levels.
Its patient and educational nature makes it a standout AI tool in the coding assistance domain.

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Crypto-News-Flash

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Ripple Eyes 14% of SWIFT’s Trillions for XRPL—Is XRP on the Verge of a Price Explosion?

Ripple CEO predicts XRPL could control 14% of SWIFT's global liquidity in five years.
XRP payment volume increases by 1,300% as institutions seek faster cross-border solutions.
Brad Garlinghouse emphasized XRPL's advantage in settling transactions in seconds compared to SWIFT's 1-5 days.
Ripple aims to change how value moves across borders, competing directly with SWIFT.
David Schwartz highlights the need for transparency in financial systems and the importance of auditing financial movements.
Community optimism grows amid reports of increased payment volume on XRPL.
Ripple has not partnered with SWIFT, but the possibility of XRP gaining market share remains strong due to dissatisfaction with high SWIFT fees.
Ripple positions XRPL as a faster and cost-effective alternative to SWIFT to attract more users.
Ripple launches a grant program for early-stage Web3 startups in Japan tied to the XRP Ledger.

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