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

Admin: @otchebuch

Memes: @memes_programming

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Join for the best programming memes and dev humor. Because coding should be fun!

@memes_programming
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Everyone knows all the apps on your phone

Until recently, any app on an Android device could access a list of all other installed apps without permission. Although Google's package visibility policy in Android 11 (2022) restricted this access, some apps still find ways around the policy. Notable examples include Indian apps like Swiggy and Zepto, which list hundreds of apps in their manifest files for user profiling. The policy loophole and its exploitation raise significant privacy concerns, highlighting the need for stricter enforcement.


🔗 https://peabee.substack.com/p/everyone-knows-what-apps-you-use
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How To Become A Hacker: A Step-By-Step Guide

TLDR A hacker details their mission to dismantle the Domain Name System (DNS) and return the web to a free state. The story involves compromising keyholders across the globe using skills in hacking, cryptography, and social engineering while clashing with corporate interests. The hacker ultimately triggers a fail-safe implemented by a keyholder that disrupts the existing DNS structure, challenging the centralized control of the internet's key security protocol.


🔗 https://medium.com/@sebastiancarlos/how-to-become-a-hacker-a-step-by-step-guide-94902dc425b0
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Prepare now: Docker Hub rate limits will impact GitLab CI/CD

TLDR Starting April 1, 2025, Docker Hub will enforce pull rate limits, significantly impacting CI/CD pipelines that pull images without authentication. GitLab users are recommended to configure Docker Hub authentication to increase rate limits, use GitLab Container Registry, or leverage GitLab Dependency Proxy with proper authentication. Implementing these changes before the deadline can avoid pipeline failures. GitLab is updating its infrastructure and providing documentation to help users transition smoothly.


🔗 https://about.gitlab.com/blog/2025/03/24/prepare-now-docker-hub-rate-limits-will-impact-gitlab-ci-cd
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Geocities.live - Turn any website into 90s dot-com era

Geocities.live is a tool that lets users transform any modern webpage into a 90s GeoCities-style page using AI. It's a creative way to counter the monotony of modern templates like tailwind and shadcn.


🔗 https://www.producthunt.com/posts/geocities-live
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mcpt - Managed registry for MCP servers

TLDR mcpt by Mintlify is a managed registry for Model Context Protocol (MCP) servers. These servers enable AI tools to interact with external data sources, ensuring reliable and up-to-date access. mcpt simplifies the exploration and utilization of the fragmented MCP ecosystem by providing a curated list of official servers.


🔗 https://www.producthunt.com/posts/mcpt
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fleet

Open-source platform for IT and security teams with thousands of computers. Designed for APIs, GitOps, webhooks, YAML, and humans.


💻 https://github.com/fleetdm/fleet
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Does AI really make you more productive?

TLDR The post discusses the impact of AI on software development productivity, based on findings from the 2024 Accelerate State of DevOps Report. While AI tools are widely used for various coding tasks, there are concerns about their negative effects on software delivery metrics like throughput and stability. Large AI-generated code batches can slow down reviews and increase the risk of bugs, potentially making developers less productive despite the perceived speed gains from AI.


🔗 https://toddle.dev/blog/does-ai-really-make-you-more-productive
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GitHubTree - Visualize repo structures in tree view

GitHubTree is a tool that allows users to easily visualize and explore the folder/directory structure of any public GitHub repository. It also enables users to copy file paths with a single click.


🔗 https://www.producthunt.com/posts/githubtree
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Why Everyone* Should Learn About Cloud Computing and AI

TLDR The post highlights the growing importance of cloud computing and AI across various industries such as film, marketing, healthcare, education, and agriculture. It emphasizes that understanding these technologies is becoming essential for making informed decisions, collaborating with technical teams, and staying competitive. The post encourages everyone to start learning about cloud and AI tools, even if they are not coders, to thrive in the modern, technology-driven world.


🔗 https://dev.to/aws-builders/why-everyone-should-learn-about-cloud-computing-and-ai-37ch
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bytedance/MegaTTS3

TLDR MegaTTS3 by Bytedance is a lightweight and efficient text-to-speech (TTS) model with only 0.45B parameters. It supports high-quality voice cloning, bilingual (Chinese and English) speech synthesis, and accent intensity control. Users can download pre-trained models, use command-line tools for inference, and access a web UI. The project aims for academic use, with stringent security measures and is licensed under Apache-2.0.


💻 https://github.com/bytedance/MegaTTS3
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MinIO: AWS S3, but free and open-source

TLDR MinIO offers an open-source, high-performance alternative to AWS S3 for object storage, ideal for indie developers and small teams due to its cost-effective scalability and flexibility. With features like bucket organization, IAM policies, event hooks, and multi-platform hosting options, MinIO can operate across local machines, Docker, Kubernetes, and cloud VMs. While it eliminates vendor lock-in and incurs no direct usage fees, MinIO does require responsible management of infrastructure for backups and high availability.


🔗 https://devjournal.info/minio-aws-s3-but-free-and-open-source/
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React library for LLMs

TLDR llm-ui is a React library that provides UI components for integrating Large Language Models into web applications. It works universally with any LLM model by operating on the model's output string, supporting popular services like ChatGPT, Claude, Ollama, Mistral, Hugging Face, and LangChain. The library aims to simplify the process of displaying LLM responses in React-based user interfaces.


🔗 https://llm-ui.com/
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How Netflix Uses Java to Stream to 200M+ Users

TLDR Netflix uses Java to manage a complex backend that streams 250 million hours of content daily. They transitioned from a monolithic architecture to microservices, leveraging Java for its concurrency, scalability, and rich ecosystem. Influential tools developed by Netflix include Eureka for service discovery and Hystrix for fault tolerance, which are integrated with Java to optimize performance and reliability across their AWS platform. Their approach and contributions have significantly impacted modern backend systems.


🔗 https://amigoscode.com/blogs/how-netflix-uses-java-to-stream-to-200m-users
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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.


🔗 https://platejs.org/
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