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How I Boosted My Child’s Learning with Engaging Storybooks

A parent shares how they boosted their child's learning with an AI app that creates interactive storybooks in any language.
The AI-powered app revolutionized their reading time, making storytelling sessions exciting and engaging for their child.
Interactive reading with vivid illustrations and captivating voiceovers helped enhance the child's vocabulary, comprehension, and creativity.
The app not only improved the child's engagement with stories but also facilitated bonding and learning opportunities while exploring imagination and enhancing reading skills.

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Medium

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A Thoughtful Strategy for Using Copilot Agents: Analyze, Confirm Instruction and Assumption…

Strategy discovered for using Copilot agents to emphasize clarity, structure, and understanding before generating code.
AI agents can generate code quickly but require proper context for true understanding.
Initial steps involve describing the task for analysis and using specific prompts to guide the agent.
Engage in a feedback loop to confirm assumptions and refine the generated solutions for better outcomes.

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Medium

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How to Think in Systems (Not Features)

Building great products isn’t about stacking features, but crafting systems to create a cohesive product.
Systems-thinking in product design involves understanding how features interact over time and in relation to each other.
Systems consist of components, flows, inputs, outputs, and feedback loops, defining not just what they contain, but how the parts interact.
Thinking in systems leads to strategic decisions in product development, emphasizing long-term impact and overall product coherence.

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Dev

257

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The Law of Attraction vs The Algorithm of Attention: Are We Manifesting or Just Being Tracked?

The Law of Attraction, focusing on desired outcomes and the universe aligning to make it happen, is now paralleled by AI algorithms in 2025.
While the traditional belief states 'thoughts become things,' social media platforms like Instagram, Facebook, and YouTube use algorithms to curate content based on user interactions.
Every scroll, click, pause, or comment is tracked and processed by algorithms using machine learning to personalize feeds, resembling the concept of manifesting but driven by data and behavior analysis.
The comparison between the Law of Attraction and AI algorithms highlights the shift from faith-based manifestations to data-driven feed optimization and raises the question of whether 'manifestations' are now more algorithmic than metaphysical.

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Dev

113

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Each child in a list should have a unique key prop

React error 'Each child in a list should have a unique key prop.' is a common issue faced by developers.
The error often occurs when attempting to map over undefined data.
The solution is to implement conditional rendering to check if the data exists before using it.
By ensuring data validity before passing it to components, the 'unique key' error can be resolved.

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Dev

204

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Mastering useRef with NodeJS.Timeout in React + TypeScript

React Hooks, especially useRef, are powerful tools for managing state and behavior in functional components.
useRef is useful for handling timers like setTimeout and setInterval in JavaScript/TypeScript projects, allowing for persistence without causing re-renders.
Using useRef for timers prevents re-renders and potential memory leaks that could occur when using useState for the same purpose.
Mastering useRef provides clean and performant timer management in React + TypeScript, enabling the creation of advanced and time-sensitive UI components.

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Estimating BigQuery Data Processed Before Running a Query

SQL is used in Google BigQuery to interact with datasets and retrieve data.
The basic and commonly used SQL statement SELECT * FROM `project.dataset.table`; fetches all columns and rows from a specified table.
Components of the SELECT statement include SELECT * (all columns), FROM (source table), and the fully qualified table name in BigQuery.
Before executing a query in BigQuery, the Query Editor provides an estimate of the amount of data the query will process, displayed in the top right corner.

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Dev

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Demystifying `className` in React: HTML Attributes, TypeScript, and Styling Mastery

In React, the className attribute is used instead of class for styling elements to avoid collision with the JavaScript class keyword and for consistency with JavaScript naming conventions.
The use of className is essential for JSX compilation to work properly and React maps className to class during rendering.
In TypeScript, the className property is defined in React.HTMLAttributes, ensuring strict typing when building components, and enabling type safety, best practices, and reusability in styled components.
Proper usage of className in React involves avoiding common pitfalls like using class in JSX, ensuring props forwarding, and typing className correctly for improved development practices.

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Dev

262

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🚨 Say hello to EvoAgentX — The World’s First Self-Evolving AI Agent Framework

Introducing EvoAgentX, the world's first self-evolving AI agent framework that can build multi-agent workflows, evolve its own prompts and architecture, adapt to changing tasks automatically, and learn continuously.
EvoAgentX aims to save time, brainpower, and sanity by eliminating the need for constant rebuilding and debugging, offering a 'build once → evolve forever' approach.
The framework represents a shift from static systems to evolving intelligence, from manual tweaking to lifelong learning, and from single-shot prompts to dynamic multi-agent orchestration.
For those interested in exploring this new AI paradigm, EvoAgentX is available on GitHub for collaboration and contribution towards shaping the future of self-evolving AI.

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Dev

135

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Understanding CSRF Attacks: How They Work and How to Protect Your Website

CSRF (Cross-Site Request Forgery) attacks exploit the trust between a web application and a user's browser to send unauthorized commands.
Attackers can manipulate authenticated requests to perform actions like changing user information or initiating financial transactions.
CSRF attacks occur through malicious forms or scripts embedded in webpages, tricking browsers into sending unauthorized requests.
To prevent CSRF attacks, developers should implement measures like SameSite cookies and CSRF tokens.
SameSite cookies have attributes like Strict, Lax, and None, controlling how cookies are sent with requests.
CSRF tokens add a layer of security by requiring unpredictable tokens in requests that attackers find difficult to guess.
However, CSRF tokens may have limitations like not validating all request methods or failing to tie tokens to user sessions.
Developers must stay informed about CSRF vulnerabilities and implement various protection methods to secure websites effectively.
Protective measures include utilizing SameSite cookies and integrating strong CSRF token verification.
Continuous learning and staying updated on security practices are crucial for developers to combat evolving CSRF attack techniques.

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Medium

330

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AI VidForest Review: The Future of Video Creation Has Arrived

AI VidForest allows marketers and creators to bring their ideas to life instantly with prompt-to-video sorcery.
The platform offers features like voiceovers in multiple languages, customizable soundtracks, and various video styles, all managed by AI.
Users can create a variety of content, from TikToks to trailers, in minutes with just one prompt, catering to different platforms like YouTube, TikTok, and more.
AI VidForest provides a seamless user experience with fast output quality up to 8K resolution, appealing to users of all ages and technical backgrounds.

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Dev

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🧠Finding Your Ideal AI Career Path: Which Field in Artificial Intelligence Suits You Best?

Artificial Intelligence (AI) offers various specialized fields, each with unique focuses, skill requirements, and career paths.
Machine Learning Engineering involves building and deploying ML systems, requiring expertise in Python, TensorFlow, and software engineering.
Data Science focuses on extracting insights from data, requiring statistical knowledge, programming skills, and data visualization.
Computer Vision specializes in image and video analysis, necessitating strong mathematical and deep learning skills.
Natural Language Processing (NLP) deals with text and speech understanding, requiring linguistic skills, NLP libraries, and deep learning expertise.
Reinforcement Learning involves decision-making through trial and error, requiring a strong mathematical foundation and programming skills.
AI Research focuses on advancing AI theory and methods, typically requiring a Ph.D. in CS, Mathematics, or related fields.
AI Ethics & Governance ensures responsible AI development, addressing ethical, legal, and societal implications.
Robotics and AI combine AI with physical systems for tasks like developing autonomous vehicles or human-robot interaction interfaces.
AI Product Management oversees AI product development, bridging technical and business aspects for effective deployment.
Common misconceptions about AI fields debunked, emphasizing accessibility, varied career options, and the importance of interdisciplinary skills.

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Medium

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Why modern software feels broken and why we keep shipping it anyway

Software in 2025 feels like it's stuck in a boss fight it can't win, with constant changes affecting users negatively.
Developers are exhausted, users are frustrated, and software ships whether ready or not.
The question arises: Is software truly getting worse, or are we just more aware of its flaws?
Despite nostalgia for older, simpler software, survivorship bias and lower hardware expectations played a role in the perception of its superiority.
Modern software faces challenges of frequent updates, feature prioritization over bug fixing, and the treadmill of continuous development.
The 'move fast and break things' culture leads to buggy releases and a lack of focus on quality over speed.
Software development now involves numerous dependencies, leading to bloated stacks, performance issues, and difficulties in debugging.
The pressure to prioritize speed over quality results in the normalization of bad software behavior and the perpetuation of bugs.
Many modern apps are built with complex software stacks, laden with dependencies, and often sacrificing performance for convenience.
Despite the challenges, there is a movement towards prioritizing simplicity, stability, and user experience in software development.

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Dev

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Types of dependencies in package.json file

Dependencies in package.json file include the essential packages needed for the project to run in production.
DevDependencies are necessary only during development and are not included in the production build.
PeerDependencies are not installed automatically but are expected to exist in the user's environment where the package is used.
OptionalDependencies enhance functionality but are not mandatory for the installation process.

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Medium

230

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How I Made $300 a Day with AI Voice Cloning

Discover how AI voice cloning technology can help you earn over $300 a day by creating personalized voice clones that capture your unique accent and emotional nuances.
The Vocal Identity Matrix allows users to enhance communication, maximize content's emotional impact, and save time and effort, resulting in financial gains and improved engagement levels.
Users of the app, including top YouTubers, have reported significant success in generating income through voiceovers for various purposes such as ads and podcasts.
The app's user-friendly interface, realistic outputs, and emotional resonance set it apart from traditional AI voice cloning methods, offering potential earnings of up to $2,000 a month for consistent use.

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