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Source channel @githubtrending · Post #15301 · Dec 4

#shell#bash#developers_everyday_life#java#option_parser#python#script#shell#show_busy_java_threads#show_duplicate_java_classes#terminal#useful_scripts This repository provides useful scripts for Java and Shell that make developer work easier and faster. The Java scripts help you quickly find CPU performance problems in running processes, detect duplicate classes in jar files, and search for specific classes across multiple jar files. The Shell scripts enhance command-line productivity with features like copying output to clipboard, colorizing file displays, deduplicating lines without sorting, and managing Docker containers more easily. The scripts are production-ready, used by major companies like Alibaba, and follow strict Bash standards for safety and reliability. You benefit by getting professional-grade tools that save time on routine tasks and learning best practices for writing quality shell scripts. https://github.com/oldratlee/useful-scripts

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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