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Andrew Chen

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Vibe coding, some thoughts and predictions

Vibe coding, a new coding trend, involves fully embracing the vibes without focusing on the code itself.
This trend leverages advanced language models (LLMs) like Cursor Composer for streamlined coding experiences.
Vibe coding has led to the creation of diverse projects, including flight sims and games, by utilizing AI-generated code.
Predictions suggest that most code could be generated by kids/students rather than traditional software engineers in the future.
The shift towards vibe designing, a GUI-based approach, is expected to replace vibe coding for enhanced creativity.
Expectations include a reduction in the need for open-source libraries as AI generates code from scratch and personalized use.
Anticipated changes involve the transformation of software design standards, introducing new patterns and experiences.
Vibe coding may lead to software adaptation based on outcomes rather than traditional coding instructions from PMs.
The potential for vibe coding to revolutionize industries by making software development more accessible and impactful is highlighted.
Challenges such as addressing bugs, hacks, and complex business logic remain pertinent even with the advent of vibe coding.

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CSS-Tricks

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Smashing Meets Accessibility

Smashing Magazine’s recent event on accessibility included a panel discussion with notable speakers.
Kardo Ayoub, a designer with a major visual impairment, shared his personal story.
He talked about his impairment, the shock that came with it, and how he has become a leader in the industry.
The full presentations from the event are available on YouTube.

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Scand

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AI in Software Development: What to Look for When Choosing a Contractor in 2025

The AI market is rapidly growing, with a projected value of $243.7 billion in 2025 and $826.7 billion by 2030.
AI has significant applications in software development, with tech companies investing in AI assistants and research.
AI can accelerate coding, reduce costs, and improve software quality, but there are concerns like data protection and legal issues.
AI-generated code may unintentionally violate open-source licenses and pose security risks for software companies.
AI tools have become integral in the daily work of IT professionals, aiding in code writing, testing, and security control.
AI coding assistants like GitHub Copilot and Cursor IDE enhance coding speed, accuracy, and translation between programming languages.
AI-powered tools enable thorough testing by simulating user actions, creating test cases, and identifying security flaws in the code.
SCAND utilizes AI in software development, using tools like GitHub Copilot for faster coding and AI-powered testing for bug prevention.
They ensure high-quality software by carefully examining and refining AI-generated code and seek client consent for AI integration.
SCAND prioritizes data security, running AI models locally to protect clients' code and ensuring transparency in AI usage.

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TechBullion

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What are the very common details that you need to know about boosting React Native security?

React Native, like other JavaScript frameworks, is prone to security threats that can compromise the application's components and data.
Common security issues in React Native involve cross-site scripting, insecure randomness in links, and server-side rendering vulnerabilities.
Attacks such as arbitrary code execution, ZIL slip, and DDOS attacks can pose significant risks to React Native applications.
To enhance React Native security, measures like improving application-server connections, implementing SSL pinning, and addressing API security concerns are crucial.
Organizations should also focus on safeguarding against DDOS attacks and utilize runtime application self-protection tools like Appsealing to mitigate security risks.

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Javarevisited

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Top 5 Udemy + Pluralsight Courses to Learn Vue.js in 2025 - Best of Lot

If you want to use Vue.js for your next project and looking to learn Vue.js online, here are the best Vue.js courses from sites like Udemy, Pluralsight, and Educative.
These courses are created by experts and have been enrolled in by thousands of frontend developers.
They are affordable, with most of them available for under $15.
Learning Vue.js in 2025 can be a great choice for frontend and full-stack developers.

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Apiumhub

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COGNOS: Fast, Private & On-Demand Answers for Business Operations

COGNOS is an advanced conversational chatbot platform developed by Apiumhub.
COGNOS enhances business operations by providing intelligent conversational chatbot for customer support, automating internal workflows, enabling data-driven decision making, and ensuring data privacy and security.
COGNOS utilizes Retrieval-Augmented Generation (RAG) to enhance accuracy and relevance in responses.
Businesses benefit from COGNOS by increasing efficiency, saving costs, gaining scalability, ensuring consistency, and maintaining security and compliance.

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TechBullion

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New Software 418DSG7: The Ultimate Guide to Features Benefits and Applications

New Software 418DSG7 is a productivity tool designed to improve efficiency and streamline workflow automation.
It offers user-friendly software design, customization capabilities, and easy integration with existing tools.
The software enhances teamwork through collaboration tools, task assignment features, and real-time messaging.
Data analytics solutions provide businesses with valuable insights and predictive trends for informed decision-making.
Workflow automation reduces manual tasks, increases accuracy, and speeds up processes.
Time management applications help employees plan work efficiently, leading to improved productivity.
418DSG7 integrates seamlessly with various tools like CRMs, ERPs, and cloud services, offering a one-stop solution for businesses.
Customizable through APIs, the software caters to specific business needs with additional integration possibilities.
Its scalability makes it suitable for startups and enterprises, with cloud-based operations allowing flexibility and data security.
Offering affordable pricing plans and a free trial, 418DSG7 provides value for businesses seeking a comprehensive productivity tool.

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Towards Data Science

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This Is How LLMs Break Down the Language

LLMs, comprised of transformer neural networks and giant mathematical expressions, process input sequences through embedding layers converting tokens into numerical representations.
During training, the neural network's billions of parameters are iteratively updated to align its predictions with patterns observed in the training set.
The transformer architecture, introduced in 2017, serves as the foundation for LLMs and is specialized for sequence processing.
Nano-GPT, with approximately 85,584 parameters, uses token sequences as inputs that undergo transformations to predict the next token in the sequence.
Training a language model like ChatGPT involves stages like pretraining with a large dataset, such as FineWeb, to teach the model the flow of text.
Tokenization, the process of converting raw text into symbols, is essential in LLMs and uses techniques like Byte-Pair Encoding to compress sequence length.
Byte Pair Encoding involves identifying frequent symbol pairs to shorten sequences and expand the symbol set, with GPT-4 having a vocabulary size of around 100,000.
Tools like Tiktokenizer allow for interactive exploration of tokenization models like GPT-4 base model, aiding in understanding how tokens correspond to text.
State-of-the-art transformer-based LLMs rely on efficient tokenization strategies like Byte-Pair Encoding to process text inputs and enhance model performance.
A well-designed tokenization approach is essential for improving the efficiency and overall performance of language models in processing and generating text.
Understanding tokenization can provide insights into how LLMs interpret and generate text, contributing to advancements in model efficiency and effectiveness.

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The Apple Post

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Apple delaying some Apple Intelligence Siri features until 2026

Apple has confirmed a delay in the rollout of some Apple Intelligence-powered Siri features, which were initially expected to launch next month.
The delayed features include Personal Context, Onscreen Awareness, and Deeper App Integration.
Personal Context will enable Siri to track emails, messages, files, photos, and more, assisting with tasks like finding specific emails or retrieving documents.
Onscreen Awareness will allow Siri to interact with on-screen content, taking actions based on what the user is viewing.

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Webkul

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User Guide for WooCommerce Marketplace Avalara Tax

The WooCommerce Marketplace Avalara Tax module allows store owners to connect their online store with an automated tax compliance system and calculate taxes in real-time.
Store owners can register for Avalara's Avatax services by creating an account with Avalara.
The module is compatible with WooCommerce's latest High-Performance Order Storage (HPOS) and Cart and Checkout block.
Customers can see applied taxes on the cart and checkout pages.

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Medium

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How to Manage Project Hold-Ups and Rebuild Trust

Managing project hold-ups and rebuilding trust is crucial in challenging situations.
Communication gap between developers and stakeholders can lead to unexpected challenges in a project.
Having a solid roadmap, talented team members, and approved budget is not always sufficient to avoid project setbacks.
Dealing with setbacks involves strategies such as effective communication and addressing technical hurdles.

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TechBullion

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How We Make KOLs Marketing in Web3 Cost-Effective Despite Its High Costs

LucidMedia.pro aims to make KOL (Key Opinion Leader) marketing in Web3 cost-effective by implementing a transparent approach with clear conditions and budget allocation.
Their strategy involves launching test campaigns with a small budget, selecting proven influencers, analyzing performance, and scaling the campaign with minimal costs.
With 2-3 iterations, KOL marketing achieves a positive ROI in 99% of cases, allowing for scaling to new markets and maximizing audience engagement.
By focusing on engagement, utilizing a well-thought-out payment model, collaborating with niche leaders, and leveraging smart analytics, KOL marketing in Web3 can generate high ROI.

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Medium

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JavaScript for Beginners

JavaScript is a versatile programming language that can be used to build Android apps, websites, perform data analysis, and even create games.
The most popular use of JavaScript is still in web development.
JavaScript can be executed in a browser's developer tools, and the simplest program displays a 'Hello, World!' message in a modal window.
In this JavaScript learning series, various topics such as control flow, functions, DOM manipulation, asynchronous JavaScript, error handling, and more will be covered.

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Medium

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Not-as-SOLID Principles

The SOLID principles, which offer benefits in terms of improved testability and maintainability, often overlook the critical aspect of when and under what conditions to apply them.
A violation of the first principle is highlighted in the example of the Player class, which has multiple reasons for potential future changes.
By refactoring the Player class to adhere to the Single Responsibility Principle, the class focuses on movement translation, while other responsibilities are handed off to separate classes.
However, the refactoring may result in a more complicated and less practical solution, which could make testing less reliable and add extra code for struct definitions and interfaces.

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Noupe

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Image Credit: Noupe

How to Use Data Augmentation to Speed Up Web Development

Data augmentation is gaining momentum in web development, offering efficiency and productivity benefits to developers.
It involves generating additional data through transformations to enhance the original dataset, solving challenges like limited datasets.
Data augmentation includes augmented data, enhancing existing datasets, and synthetic data, creating entirely artificial data.
It is crucial for tackling data scarcity, improving accuracy in machine learning models, and boosting productivity.
Data augmentation is beneficial for scenarios like limited data availability, training machine learning models, enhancing user experiences, and testing web applications.
Benefits of data augmentation include increasing dataset size, faster development cycles, cost savings, better machine learning models, scalability, flexibility, and preventing overfitting.
Examples of data augmentation in web development include image, audio, text, and video augmentation to improve various applications.
By utilizing data augmentation, developers can speed up web development processes, enhance machine learning models, and provide better user experiences.
This technique reduces the need for extensive data collection, accelerates testing and prototyping, and ultimately leads to the development of robust applications.
Incorporating data augmentation in web projects can transform the development process, leading to faster and more accurate results.

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