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Source channel @githubtrending · Post #14693 · May 10

#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

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@githubtrending · Post #14929 · 07/08/2025, 01:00 PM

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#swift#ci#cli#generator#specification#swift#xcode#xcodeproj#xcodeproject#yaml XcodeGen is a Swift command-line tool that automatically creates your Xcode project based on your folder structure and a simple YAML or JSON configuration file. This means you don’t have to manually manage your Xcode project files, avoiding merge conflicts in Git and keeping your project files always in sync with your folders. It supports complex setups, multiple targets, build settings, and schemes, and works well with CI systems. Using XcodeGen saves you time, reduces errors, and makes collaboration easier by letting you generate and update projects on demand without opening Xcode manually. This helps you focus more on coding and less on project setup. https://github.com/yonaskolb/XcodeGen

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#swift #ci #cli #generator #specification #xcode #xcodeproj #xcodeproject #yaml