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«How It All Started»

The individual noticed online money-making opportunities like donations, referral links, and sponsored content, inspiring them to try it out.
Started by boosting accounts in Clash Royale and creating a VK group, their first experience with online income taught them that it's possible to earn doing what you love.
Moved on to streaming on Twitch, initially facing challenges with setup but eventually receiving donations from viewers who enjoyed their content.
Ventured into programming, initially finding it challenging but ultimately creating a game inspired by Subway Surfers before getting confused by the multiple programming languages available.
Explored graphic design, learning various aspects like composition, color theory, and UI, while managing personal and client projects, although their interest waned over time due to other commitments.
Acknowledges that none of their attempts were failures but attributes some setbacks to time constraints and occasional loss of motivation.
Embarking on a new journey with a vlog aimed at sharing experiences and moving forward, emphasizing perseverance and continuous learning.

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Medium

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5 Ways AI Code Assistants Are Revolutionising Programming in 2025

AI code assistants have revolutionized programming by reducing the need to constantly search syntax and bug solutions online.
These assistants can quickly generate functions, classes, and even backend logic.
They provide autocomplete on steroids, saving time and reducing boilerplate code.
Modern AI code assistants not only complete code but also understand it, detecting issues, suggesting fixes, and adhering to best practices.
They help beginners by acting as personal tutors and providing guidance.
AI assistants are proficient in multiple languages, enabling tasks like code translation and refactoring.
They integrate with popular coding platforms and can assist in real-time, even collaborating as pair programmers.
AI assistants are meant to augment developers, not replace them, serving as tools for efficiency and collaboration.
Developers are encouraged to ask the right questions and maintain an understanding of the code.
AI code assistants have evolved from gimmicks to essential tools for developers at every skill level.
They are depicted as vital teammates in the coding process, aiding in projects from simple apps to complex systems.

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Medium

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Why You're Always Tired, Anxious, or Unmotivated — And What Your Personality Has to Do With It

Constantly feeling tired, anxious, or unmotivated, even without being sick or in danger, led to a deeper exploration of the impact of personality on reactions to life.
The Big Five Personality Traits framework highlights key traits such as Neuroticism, which is linked to emotional chaos, overthinking, assuming the worst, feeling deeply, and being prone to burnout.
Understanding one's personality traits can lead to better self-management strategies that align with individual wiring.
For example, those high in neuroticism may benefit from grounding techniques and daily self-care practices.
Tailoring solutions based on personality traits can help in reducing stress and improving overall well-being.
Knowing one's emotional triggers and implementing personalized strategies can lead to a better understanding and acceptance of one's unique wiring.
It's important to recognize that operating without an emotional map can make life seem harder, but utilizing it can bring clarity and peace by understanding oneself better.

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Insider

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OpenAI CPO says the company's engineers only get faster as ChatGPT gets better at coding

Improving models' coding capabilities at OpenAI helps make the company's engineers more effective, according to Kevin Weil, the CPO of the company.
Weil stated that enhancing ChatGPT's coding capabilities makes engineers faster in completing tasks, creating a self-reinforcing loop.
Coding tasks are 'gradable,' making it easy to measure performance improvements, as mentioned by Weil in a podcast interview.
OpenAI's focus on AI coding tools from a commercial perspective aims to speed up coding and enhance overall effectiveness.
The acquisition of Windsurf earlier this year for $3 billion underscores OpenAI's commitment to strengthening its AI coding capabilities.
Weil highlighted that programming is a concrete and gradable task, making it easier to gauge model performance improvements.
Engineers' familiarity with coding processes aids in training models effectively, as per Weil.
The market for AI coding tools is substantial and appeals to early adopters, driving innovation in the industry.
Weil emphasized that coding, being relatively open and unregulated compared to other industries, presents an interesting market for innovation.

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Python Blogs

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How to Play MP4 in Google Drive

Watching MP4 videos directly from Google Drive is a convenient way to access media content without downloading files.
Google Drive natively supports MP4 playback with a few key details to ensure a smooth viewing experience.
Steps to play MP4 files in Google Drive include logging in, uploading the file, locating it, and playing it.
The video must be encoded with supported codecs like H.264 and AAC for successful playback.
Google Drive has file size limits and supports sharing options like private sharing, restricted link sharing, and public access.
Troubleshooting playback issues may involve clearing browser cache, trying different browsers, checking file integrity, or re-encoding the video.
Google Drive supports MP4 playback on mobile devices through its mobile app.
Ensure a strong internet connection for smooth playback on mobile devices.
Google Drive is a user-friendly platform for managing and sharing videos with its native MP4 support.

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Dev

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🎯 Day 20 – Intro to H2 Database in Spring Boot!

Explored H2 Database, a lightweight, in-memory database, during Spring Boot learning.
Learned integration of H2 into a Spring Boot application and configuring application properties for H2 console.
Utilized H2 web console for interacting with tables and running SQL queries.
Observed data clearance on app restarts, beneficial for learning and prototyping.
H2 Database simplifies data visualization, debugging, and experimenting without setting up a full database, ideal for beginners and local testing.
Planning to build a mini project using H2 Database to apply CRUD skills in a practical scenario.

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Dev

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TODAY I LEARNED: Race Conditions (Literally 💸)

The developer encountered race conditions in a project involving a global variable feature.
A gamification banner project led to unintended consequences due to race conditions.
Race conditions caused 37 extra vouchers to be given away erroneously.
The developer learned about reconciliation strategies like last-write-wins, sum-increments, merge-objects, and max-value.
Default settings may not suffice in handling critical scenarios affected by race conditions.
Testing for concurrency and relying on math over instincts are crucial in development.
Edge computing speed can lead to unexpected race conditions.
Switching to sum-increments helped in counting accurately but may not solve all issues.
The developer continues to learn and improve, emphasizing the importance of setting up reconciliation strategies before production.
The gamification banner project is now functioning correctly after adjustments.
Building in public involves learning from mistakes, admitting limitations, and evolving.
The motto adopted is 'Move fast but scale correctly.'

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Microsoft

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Improve Your Productivity with New GitHub Copilot Features for .NET!

The Visual Studio 17.14 GA release and recent C# Dev Kit releases for VS Code have introduced new GitHub Copilot features for .NET developers.
GitHub Copilot features include agent mode, MCP support, and improved context awareness in Visual Studio and VS Code.
Context awareness in GitHub Copilot now scans code for supported scenarios to provide more relevant responses.
Microsoft Learn Integration in VS 17.14 ensures up-to-date information is provided by pulling data from MS Learn docs for queries.
A new feature in VS allows developers to implement methods with Copilot and auto-generate documentation comments.
VS 17.14 introduces the Implement with Copilot refactoring to add method bodies and on-the-fly documentation using Copilot.

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Javacodegeeks

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2025 Developer Stack Guide: Tools, Frameworks, and Languages Worth Learning

The article discusses the evolving landscape of software development in 2025, highlighting new tools, frameworks, and languages prioritizing performance and scalability.
Bun, a modern JavaScript runtime, stands out for its speed and simplicity, offering a comprehensive toolchain with native TypeScript support.
Rust continues to grow in adoption for systems programming due to its memory safety features and zero-cost abstractions, appealing to organizations like Microsoft and Amazon.
Zig, a minimalist systems programming language, gains attention for its simplicity and transparency, particularly in embedded development and performance-critical projects.
Astro and HTMX represent shifts in frontend development towards leaner JavaScript bundles, emphasizing server-side rendering and progressive enhancement.
tRPC is becoming popular for full-stack TypeScript development, offering type safety and reduced boilerplate for defining backend APIs.
Architectural patterns in 2025 emphasize event-driven and asynchronous designs, with tools like Apache Kafka and Redis Streams facilitating efficient service communication.
Tauri provides a lightweight alternative to Electron for building desktop applications, leveraging Rust and JavaScript for improved performance and security.
Frontend frameworks like Leptos and Yew powered by Rust hint at a future where high-performance web applications can be built without relying on JavaScript.
The article suggests focusing on tools that prioritize performance, simplicity, and type safety in 2025 to enhance the developer experience across various development domains.

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The Pragmatic Engineer

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The Pulse #137: Builder.ai did not “fake AI with 700 engineers”

The claim that Builder.ai faked AI with 700 engineers was incorrect, as clarified by former engineers at the company.
Builder.ai built a code generator, Natasha, on top of Claude and other LLMs, rather than using human engineers.
The startup invested time in building internal versions of existing tools like Slack, Zoom, and JIRA, contributing to its challenges.
Stock vesting changes were observed at NVIDIA and Anthropic, with NVIDIA's grants becoming front-loaded.
Builder.ai's Natasha Codegen utilized Python, Ruby on Rails, React, and LLMs like GPT and Claude for code generation.
The team had a broader vision for Natasha, including a chatbot, knowledge graph, and ML models, all under the Natasha brand.
Builder.ai faced setbacks with internal conflicts on its main product focus, fraud concerns, and allegations of accounting fraud.
The downfall of Builder.ai was triggered by accounting fraud allegations, leading to lenders withdrawing funds and eventual collapse.
Despite the collapse, the engineers at Builder.ai did solid work, but faced repercussions from the viral incorrect claim about faking AI with human devs.
Industry Pulse: Industry trends include a push to repeal Section 174 accounting changes, Meta addressing AI issues, and potential job cuts at Google.

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Sdtimes

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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

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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

364

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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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