What is this?
It's an open-source collection of 28+ code-first, hands-on tutorials for taking GenAI agents from a prototype to a production-ready product, covering orchestration, memory, observability, deployment, and security.
It's an open-source collection of 28+ code-first, hands-on tutorials for taking GenAI agents from a prototype to a production-ready product, covering orchestration, memory, observability, deployment, and security.Is this one framework or a collection of separate tutorials?It's a collection of independent tutorials, not a single framework. Each tutorial has its own folder with a ready-to-run notebook or code file covering one specific building block (memory, deployment, observability, etc.).
It's a collection of independent tutorials, not a single framework. Each tutorial has its own folder with a ready-to-run notebook or code file covering one specific building block (memory, deployment, observability, etc.).How do I start working through a tutorial?Clone the repo, pick the folder for the tutorial you want, and open its notebook or run the accompanying code file directly — no central setup process ties the tutorials together.
Clone the repo, pick the folder for the tutorial you want, and open its notebook or run the accompanying code file directly — no central setup process ties the tutorials together.Do all tutorials work the same way, or are some tied to specific vendors?Several tutorials are contributed and sponsored by third-party companies (memory providers, GPU cloud, MCP runtime, web search APIs, etc.), so following those specific lessons may require signing up for that vendor's own service.
Several tutorials are contributed and sponsored by third-party companies (memory providers, GPU cloud, MCP runtime, web search APIs, etc.), so following those specific lessons may require signing up for that vendor's own service.What is the 'Prompt to Production' course mentioned in the repo?It's the author's separate 20-module paid course pairing video lectures with hands-on labs on building reliable, modular production AI systems; one full module is offered for free with an AI assistant built into Claude Code.
It's the author's separate 20-module paid course pairing video lectures with hands-on labs on building reliable, modular production AI systems; one full module is offered for free with an AI assistant built into Claude Code.Are the tutorials themselves free to use?Yes, the 28+ tutorials in the repository are open-source and free; only the companion 'Prompt to Production' course and some vendor services linked from sponsored tutorials may require payment or sign-up.
Yes, the 28+ tutorials in the repository are open-source and free; only the companion 'Prompt to Production' course and some vendor services linked from sponsored tutorials may require payment or sign-up.What topics do the tutorials actually cover?They span the full agent stack: stateful workflows, vector memory, real-time web search, Docker/FastAPI deployment, security guardrails, GPU scaling, browser automation, fine-tuning, multi-agent coordination, observability, and evaluation.
They span the full agent stack: stateful workflows, vector memory, real-time web search, Docker/FastAPI deployment, security guardrails, GPU scaling, browser automation, fine-tuning, multi-agent coordination, observability, and evaluation.Is there anything beyond the written tutorials?Yes, the author also publishes short, one-idea-per-episode YouTube explainers that break down agent concepts like context management and the agent loop.
Yes, the author also publishes short, one-idea-per-episode YouTube explainers that break down agent concepts like context management and the agent loop.What are similar projects?ai-agents-the-definitive-guide, GenAI_Agents, adk-python, jarviscore-framework, langgraph, tensorzero, ruflo, ai-engineer-notebooks
ai-agents-the-definitive-guide, GenAI_Agents, adk-python, jarviscore-framework, langgraph, tensorzero, ruflo, ai-engineer-notebooksWhich topics is it in?production, genai, langgraph, tutorials, mlops, llms, multi-agent-systems, deployment, fastapi, agent-framework, evaluation, memory
production, genai, langgraph, tutorials, mlops, llms, multi-agent-systems, deployment, fastapi, agent-framework, evaluation, memory