#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
#php
You can easily set up a WordPress development environment using GitHub Codespaces or locally with Docker. Codespaces lets you start coding in a ready-made cloud environment directly from your browser, saving setup time and letting you work anywhere. For local setup, you need Node.js, npm, and Docker installed. After cloning the WordPress development repository, you run simple commands to install dependencies, build the project, and start the environment. You can access your WordPress site at http8889, run tests, and manage the environment with commands. This setup helps you develop, test, and contribute to WordPress efficiently without complex manual configuration.
https://github.com/WordPress/wordpress-develop
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