Computer Science and Programming
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32 videos
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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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Plate - Rich-text editor with AI, MCP, and shadcn/ui

TLDR Plate Create blockquotes to emphasize important information or highlight quotes from external sources. This is suitable for certain scenarios, there are times when you want users to be able to paste content while preserving its formatting. To achieve this, your editor should be capable of handling 'text/html' data.


πŸ”— https://platejs.org/
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Seamlessly Blend PHP with Node.js

TLDR Platformatic introduces php-node, a Node.js module that allows developers to embed PHP within Node.js applications. The module utilizes Rust to execute PHP applications in a multi-threaded environment, providing enhanced performance and seamless integration. Key features include seamless integration, multi-threaded processing, improved performance, and a unified development environment. Use cases range from migrating legacy PHP apps to building hybrid applications. The post also provides examples of running PHP and WordPress inside a Node.js server.


πŸ”— https://blog.platformatic.dev/seamlessly-blend-php-with-nodejs
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Podman vs. Docker: Containerization Tools Comparison

TLDR Podman and Docker are two leading container platforms offering distinct features. Podman, developed by Red Hat, operates daemonless and supports rootless containers, enhancing security and system integration. Docker, highly popular for its ease of use, operates on a daemon-based architecture and has a rich ecosystem with broad third-party support. Both tools use OCI-compliant images allowing interoperability. While Docker's Swarm mode facilitates orchestration, Podman's design aligns closely with Kubernetes. Each tool is suitable for different use cases, with Podman excelling in secure, system-integrated environments and Docker being ideal for general development workflows.


πŸ”— https://spacelift.io/blog/podman-vs-docker
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Astro 5.8

TLDR Astro 5.8 has been released, requiring Node.js version 20.3.0 or higher, as Node.js 18 has reached end-of-life. While Astro will temporarily support Node.js 18.20.8, it's recommended to upgrade to Node.js 22 soon. Bug fixes are addressed and a CLI tool is available for easy upgrades.


πŸ”— https://astro.build/blog/astro-580
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Claude 4: You better stop coding now


Claude 4, recently released by Anthropic, is a powerful AI model designed for advanced coding tasks, offering two versions: Sonnet 4 and Opus 4. The model excels in agentic mastery, multimodal tool integration, and efficient coding without hallucinations, setting itself apart from competitors like Gemini and GPT. With features catering to structured workflows and native tool integration, Claude 4 is poised to become a preferred choice for developers.
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GitLab vs GitHub : Key Differences in 2025

GitLab and GitHub are leading Git-hosting platforms with distinctive features. GitLab offers a fully integrated DevOps platform including CI/CD, security scanning, and infrastructure management out of the box, making it ideal for enterprises. GitHub, best known for its code hosting and collaboration capabilities, relies on third-party tools for extensive DevOps functionalities but excels in ease of use, community support, and integrations. Both platforms support AI-powered coding assistants, but GitLab's additional security and compliance features provide an edge for large organizations.
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Darklang Goes Open Source


Darklang has transitioned from a source-available to fully open source model under Apache License 2.0 as part of restructuring from Dark Inc. to Darklang Inc. The decision was driven by user feedback, evolution toward local-first development with CLI support, and new business opportunities in developer tools. The platform now supports both cloud deployment and self-hosting while maintaining its core features like invisible infrastructure and trace-driven development


https://api.daily.dev/r/z6afZQaCY
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Spring Vault 4.0.0-M1
available

Spring Vault 4.0.0-M1 milestone release is now available, bringing updates to the Spring integration library for HashiCorp Vault. This milestone version provides
developers with early access to new features and improvements for managing secrets and security configurations in Spring applications.

Spring.io
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LeetCode Meditations: A Visualized Tour of DSA Concepts (A Handbook)

A comprehensive handbook covering fundamental data structures and algorithms concepts through visual explanations and code examples. Topics include arrays, hash tables, two pointers technique, sliding window, stacks, binary search, linked lists, trees, heaps, and backtracking. Each concept is explained with practical implementations in JavaScript, TypeScript, and Python, along with time and space complexity analysis. The guide emphasizes understanding core principles rather than memorizing specific problem solutions.



@computer_science_and_programming
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JavaScript Animation Engine


Anime.js is a versatile JavaScript animation library offering several features, including rotating objects, creating motion paths, and animating SVG paths. Users can create timelines, apply staggered animations, and make elements draggable with customizable easing options. The library also supports advanced configurations like spring physics and media query-based animations.



https://animejs.com/?ref=dailydev
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GPT-4.1 Prompting Guide
The post provides a comprehensive guide on GPT-4.1 prompting using the OpenAI API. It includes open-source examples, advanced techniques, and detailed walkthroughs, empowering developers to efficiently utilize GPT-4.1 capabilities. The guide also encourages sharing your own examples and insights for further learning.


@computer_science_and_programming
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flurries of latent creativity


A developer shares their weekend project of building a complete compiler from scratch, creating a simplified BASIC variant called toybasic that transpiles to Go code. The implementation uses three stages: a lexer built with nex for tokenization, a parser using goyacc for syntax tree generation, and a custom Go compiler that walks the tree to generate equivalent Go code. The project demonstrates practical compiler construction using modern tools while working with a simple but complete programming language


@computer_science_and_programming
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Counted all of the yurts in Mongolia using machine learning
A developer trained a YOLO machine learning model to count yurts across Mongolia using satellite imagery from Google Maps. The project involved manually labeling over 10,000 yurts as training data, optimizing the search area using geographic data, and deploying the model across 120 Docker containers using Docker Swarm. The final count revealed 172,689 yurts throughout the country, with most concentrated in urban ger districts around Ulaanbaatar where rural migrants have settled


@computer_science_and_programming
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My iPhone 8 Refuses to Die: Now It’s a Solar-Powered Vision OCR Server
A developer transformed an old iPhone 8 into a solar-powered OCR server using Apple's Vision framework, processing over 83,000 requests and 48GB of images in one year. The setup combines an EcoFlow River 2 Pro power station with solar panels to run completely off-grid, saving $84-120 CAD annually while maintaining 76% battery health. The project demonstrates local-first computing, privacy benefits, and practical renewable energy applications for small-scale server workloads.


https://terminalbytes.com/iphone-8-solar-powered-vision-ocr-server/
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How I Finally Understood Docker and Kubernetes

A developer shares their journey from confusion to understanding Docker and Kubernetes by focusing on practical problems rather than technical jargon. Docker is explained as a way to package applications with their dependencies into portable containers, while Kubernetes is presented as a system for managing multiple containers in coordination. The author emphasizes learning through hands-on experience with simple projects, starting with single containers and gradually building up to multi-container systems with deployments and services.

medium.com
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Overengineered #001: Hello World
The post explores building an overengineered 'Hello World' system using Elixir. It demonstrates creating a distributed system where multiple nodes automatically discover each other and send 'hello world' messages to newly joined nodes. The setup involves using GenServers, UDP broadcast for node discovery, and handling node greetings with the Greeter module. The project is aimed at learning and fun, showcasing an extensive approach to a simple problem.


@computer_science_and_programming
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9 MCP Projects for AI Engineers
This title could be clearer and more informative.


A comprehensive collection of 9 Model Control Protocol (MCP) projects designed for AI engineers, covering various applications from local MCP clients and agentic RAG systems to voice agents and synthetic data generators. The projects demonstrate how to integrate MCP with popular tools like Claude Desktop and Cursor IDE, enabling developers to build more sophisticated AI applications with enhanced tool connectivity and context sharing capabilities.


@computer_science_and_programming
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