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Source channel @githubtrending · Post #14936 · Jul 9

#jupyter_notebook This course guides you through building and deploying your own AI agents using popular tools like OpenAI Agents SDK, CrewAI, LangGraph, AutoGen, and MCP over six weeks. You’ll learn to create agents that can think, act, and work together, with clear setup instructions for Windows, Mac, and Linux, plus support if you get stuck. The benefit is that you gain hands-on experience in the latest AI agent technology, making you ready to develop smart, autonomous systems for real-world tasks, while also connecting with a helpful community and having fun along the way[1][2][3]. https://github.com/ed-donner/agents

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@sum_tech · Post #113 · 12/09/2024, 02:19 AM

Рекомендуем всем ИТ-профессионалам иногда читать прекрасный канал "В мире больших данных". Нестандартный взгляд на базы данных и современное состояние ИТ в целом. #партнеры#dbms#рекомендуем

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@githubtrending · Post #15580 · 03/23/2026, 11:30 AM

#go#cli#database#database_management#dbms#environment#local#postgres#postgresql#supabase Supabase CLI lets you run Supabase locally, manage database migrations, deploy functions, generate types from your schema, and make secure API calls. Install easily via npm (`npm i supabase --save-dev`), Homebrew, Scoop, or binaries for any OS, then run `supabase init` and `supabase start` to launch your full stack with local URLs and keys. This benefits you by speeding up development, testing changes offline without cloud costs, ensuring type safety, and simplifying CI/CD for reliable deploys. https://github.com/supabase/cli