Computer Science and Programming
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Channel specialized for advanced topics of:
* Artificial intelligence,
* Machine Learning,
* Deep Learning,
* Computer Vision,
* Data Science
* Python

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Good Commit βœ… VS. Bad Commit ❌: Best Practices for Git

Good commits are crucial for maintaining a clean and understandable project history in Git. Characteristics of good commits include being atomic and focused, having descriptive messages, following conventional guidelines, being tested and verified, and being properly scoped. Conversely, bad commits are large and unfocused, have vague or misleading messages, combine unrelated changes, and contain incomplete or untested code. Best practices for good commits involve committing often but meaningfully, writing clear messages, using branches effectively, reviewing and squashing commits, and automating testing.


πŸ”— https://dev.to/sheraz4194/good-commit-vs-bad-commit-best-practices-for-git-1plc
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How to Design Twitter (X) in a System Design Interview?

Designing a system like Twitter (X) in a system design interview involves outlining core functionalities such as composing and sharing tweets, following users, and favoriting tweets. Non-functional requirements like scalability, high availability, and stability are crucial for handling large-scale operations. Key aspects include capacity estimation, API design, database design, and understanding queries per second (QPS). Employing a structured approach and utilizing tools like Redis for caching, MySQL for data consistency, and Amazon S3 for media storage are essential. Detailed component design includes load balancers, CDNs, and handling failure scenarios to ensure robust system performance.


πŸ”— https://medium.com/javarevisited/how-to-design-twitter-in-a-system-design-interview-98983c649cc0
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Learn Asynchronous JavaScript

Mastering asynchronous programming is essential for modern JavaScript development, providing efficiencies and responsiveness. A new freeCodeCamp.org YouTube course offers a comprehensive guide, covering synchronous vs asynchronous programming, callbacks, promises, async/await, and the Fetch API. It includes practical projects with APIs like Chuck Norris API, Weather API, and Pokedex API to reinforce learning.


πŸ”— https://www.freecodecamp.org/news/learn-asynchronous-javascript
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Neumorphism: The new trend in UI design

Neumorphism is a UI design trend blending minimalism and realism to create modern, user-friendly interfaces with depth using shadows and highlights. It merges the simplicity of flat design with the realism of skeuomorphism, offering a balanced approach. While it provides aesthetic appeal and consistency, it poses accessibility challenges that need addressing to meet Web Content Accessibility Guidelines (WCAG). Designers can use strategic visual cues and minimal color schemes to enhance usability and compliance.


πŸ”— https://blog.logrocket.com/ux-design/neumorphism-new-trend-ui-design
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How I Use ChatGPT as a Frontend Developer (5 Ways)

TLDR A frontend developer shares five ways to use ChatGPT for optimizing workflow, including formatting JSON, creating UI skeletons, generating random data, working with regular expressions, and finding code solutions. By leveraging ChatGPT, tasks such as creating Material UI skeletons or finding regex solutions become more efficient, saving time and enhancing productivity.


πŸ”— https://medium.com/@sumsourabh14/how-i-use-chatgpt-as-a-frontend-developer-5-ways-0494d6f1ab54
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What’s the Difference Between interface and @interface in Java?'

TLDR An interface in Java specifies a behavior that implementing classes must fulfill, containing method signatures without implementations, and supporting abstraction, multiple inheritance, and loose coupling. On the other hand, the @interface is used to define custom annotations that add metadata to code elements for use during compilation or runtime by tools and frameworks. Key annotations like @Retention and @Target further specify how and where these annotations can be applied.


πŸ”— https://www.baeldung.com/java-interface-vs-annotation
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Bad questions for Senior Frontend Dev Interview

TLDR The current landscape of technical interviews for Senior Frontend Developers often includes questions that fail to assess practical experience and real-world problem-solving skills. Common questions like the workings of the Event Loop, differences between arrow functions and regular functions, or memory management often focus on rote memorization rather than actual expertise. The post argues for more meaningful, experience-based questions that better evaluate a candidate’s ability to apply theoretical knowledge practically.


πŸ”— https://medium.com/@maks-dolgikh/bad-questions-for-senior-frontend-dev-interview-2c94dd937d75
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13 Open-Source Google Chrome Extensions I Love and Recommend

TLDR Google Chrome, holding over 60% of the market share, offers a variety of open-source extensions that enhance user experience. This list includes 13 top open-source extensions such as Dark Reader for eye protection, GitOwl to optimize GitHub usage, DuckDuckGo Privacy Essentials for privacy, Simple Translate for multilingual browsing, Page Assist for AI integration, and many more. These extensions serve a wide range of purposes from privacy protection to development tools, all with the added benefit of being open-source.


πŸ”— https://itsfoss.com/open-source-chrome-extensions/
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VS Code Setup - Recommended Extensions

TLDR A curated list of recommended Visual Studio Code extensions categorized by their use cases, such as markdown support, general writing, GitHub integration, CSV handling, Japanese language tools, styling and themes, and various utility extensions. Includes a step-by-step guide for easy installation of all listed extensions via an `extensions.json` file.


https://dev.to/ahandsel/vs-code-setup-recommended-extensions-4877
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Open source tools to boost your productivity

TLDR Open source technology offers alternatives to many proprietary software tools, providing benefits like added transparency, customizability, and security. Highlighted tools include Penpot for design, Cal.com for scheduling, Screenity for screen recording, Jitsi for video conferencing, Nextcloud for cloud storage, Ghost for publishing, and more. Each offers features to help individuals and businesses move away from Big Tech incumbents without compromising productivity.


πŸ”— https://techcrunch.com/2024/08/11/a-not-quite-definitive-guide-to-open-source-alternative-software/
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How does Garbage Collection work?

TLDR Garbage collection is a crucial automatic memory management feature used in many programming languages. Java offers multiple garbage collectors tailored to different scenarios, Python employs reference counting alongside a cyclic collector to handle circular references, and GoLang utilizes a concurrent mark-and-sweep garbage collector to minimize application pauses. Additional topics include tools for designing fault-tolerant systems and key system design trade-offs.


πŸ”— https://blog.bytebytego.com/p/ep125-how-does-garbage-collection
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What is a Load Balancer?

TLDR A load balancer distributes network or application traffic across multiple servers to ensure availability, reliability, and performance. There are different types of load balancers, including hardware, software, cloud-based, Layer 4, Layer 7, and Global Server Load Balancing. Load balancers improve scalability and help manage large-scale applications efficiently. The post also touches on various design patterns for Kubernetes and highlights a sponsored service by QA Wolf for improved QA cycles.


πŸ”— https://blog.bytebytego.com/p/ep123-what-is-a-load-balancer
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Using GPT-4o for web scraping

TLDR A developer experimented with using GPT-4o's structured outputs for web scraping, creating an AI-assisted web scraper. While the model performed well with simple and complex tables, it struggled with combined rows and generating XPaths. Cost is a concern due to the model's character volume requirements. Future improvements could include better UX through capturing browser events and further refining HTML data cleanup.


πŸ”— https://blancas.io/blog/ai-web-scraper
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10 Best Resources to Learn Software Architecture in 2025

TLDR Mastering software architecture is crucial for handling complex systems and transitioning from a developer role to an architect role. Essential resources include books like 'Designing Data-Intensive Applications' and courses such as 'The Complete Microservices and Event-Driven Architecture' on Udemy. Additionally, whitepapers and engineering blogs provide valuable insights. These resources cover various architectural styles, principles, and real-world challenges, helping you design scalable, maintainable, and high-performing systems.


πŸ”— https://medium.com/javarevisited/10-best-resources-to-learn-software-architecture-in-2025-2524ac91dc76
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Developers be like
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11 open source AI projects that developers will love

TLDR Explore 11 open source AI projects aimed at easing software development. Projects like Upscayl enhance image resolution, Nyro automates mundane tasks, and Wren AI translates natural language into SQL. Tools like Geppetto and E2B sandboxes integrate AI with productivity tools, while DSPy and Guardrails optimize AI model training and accuracy. These projects demonstrate the potential of AI in transforming everyday tasks and development workflows.


πŸ”—https://www.infoworld.com/article/3566915/11-open-source-ai-projects-that-developers-will-love.html
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Toasts are Bad UX

TLDR Toasts often appear far from the user's focus, leading to jarring interactions. For example, YouTube's toast notifications conflict with other on-screen actions. A redesign suggests directly integrating feedback into user actions, such as placing indicators near interacted elements. Examples from Gmail and clipboard actions further illustrate unnecessary toast usage. Ultimately, no feedback is worse, but there are better methods than relying on toasts.


πŸ”— https://maxschmitt.me/posts/toasts-bad-ux
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