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Source channel @githubtrending · Post #14636 · Apr 27

#powershell#automated#bloatware#bloatware_removal#cleanup#debloat#debloater#interactive#optimize#powershell#powershell_script#privacy#ps1#registry_tweaks#tweaks#windows#windows_10#windows_11#windows_11_debloat#windows10#windows11 Win11Debloat is a free PowerShell script that quickly removes pre-installed Windows bloatware like TikTok, Xbox Game Bar, and Copilot while disabling ads, telemetry, and intrusive features. It simplifies tasks like restoring the classic right-click menu, hiding duplicate drives in File Explorer, and removing taskbar clutter, saving you from manually adjusting settings. The script is safe, reversible, and improves your experience by eliminating unnecessary background processes and distractions, making Windows cleaner and more focused. https://github.com/Raphire/Win11Debloat

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@githubtrending · Post #14693 · 05/10/2025, 12:00 PM

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#jupyter_notebook#a2a#agentic_ai#dapr#dapr_pub_sub#dapr_service_invocation#dapr_sidecar#dapr_workflow#docker#kafka#kubernetes#langmem#mcp#openai#openai_agents_sdk#openai_api#postgresql_database#rabbitmq#rancher_desktop#redis#serverless_containers The Dapr Agentic Cloud Ascent (DACA) design pattern helps you build powerful, scalable AI systems that can handle millions of AI agents working together without crashing. It uses Dapr technology with Kubernetes to efficiently manage many AI agents as lightweight virtual actors, ensuring fast response, reliability, and easy scaling. You can start small using free or low-cost cloud tools and grow to planet-scale systems. The OpenAI Agents SDK is recommended for beginners because it is simple, flexible, and gives you good control to develop AI agents quickly. This approach saves costs, avoids vendor lock-in, and supports resilient, event-driven AI workflows, making it ideal for developers aiming to create advanced, cloud-native AI applications[1][2][3][4]. https://github.com/panaversity/learn-agentic-ai