The project's README from github.com/NirDiamant/agents-towards-production. As one markdown file: README.md.
Agents Towards Production is your go‑to resource for building production‑ready GenAI agents that scale from prototype to enterprise. Tutorials cover stateful workflows, vector memory, real‑time web search APIs, Docker deployment, FastAPI endpoints, security guardrails, GPU scaling, browser automation, fine‑tuning, multi‑agent coordination, observability, evaluation, and UI development.
Prompt to Production - my full course on building software with AI the way professionals do: the methods and paradigms behind reliable, efficient, modular production systems, taught systematically. 20 modules, each pairing a video lecture with a hands-on lab, from your first structured prompt to a working production system.
The course is live. Every module is out, lecture and lab.
| 🎬 7-minute video lecture |
🛠️ Hands-on tutorial |
🤖 AI assistant inside Claude Code |
One npm install adds the module's AI assistant to your Claude Code, and it guides you through the tutorial as you build.
28 production-grade tutorials covering stateful workflows, vector memory, web search APIs, Docker deployment, security guardrails, GPU scaling, multi-agent coordination, and more.
Companies that have contributed step-by-step tutorials to this repository.
Click a logo to open the tutorial. Use Ctrl‑/⌘‑click to keep this page open.
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Agent Framework & Workflows |
Memory & Vector Database |
RAG & Knowledge Management |
Web Data Platform |
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Real‑time Web Search API |
MCP Runtime |
Kotlin AI Agent Framework |
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Self-Improving AI Memory |
GPU Cloud Computing |
Companies that support this project through partnerships and resources.
Click a logo to visit their website.
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AI Code Review |
| 🚀 Cutting-edge Updates |
💡 Expert Insights |
🎯 Top 0.1%Content |
Join over 50,000 AI enthusiasts getting unique cutting-edge insights and free tutorials!
Plus, subscribers get exclusive early access and special 33% discounts to my book and upcoming courses!
I break these ideas down into short, one-idea-per-episode explainers on YouTube.
AI Agents Are Just While Loops. That's the Scary Part. the whole agent is a text file re-read in a loop, and it can trap itself |
Context Is the New Code the shift from writing the code to shaping what the model sees |
Stop Thinking Claude Code Is Magic. Here's How It Works what the agent loop is actually doing on every turn |
How LLMs Actually Work (and Why AI Makes Things Up) recalling a fact and inventing one are literally the same move |
Stay connected with the latest in GenAI and agent development:
Join our growing community discussing cutting-edge AI research, agent development, and production insights!
Agents Towards Production is your hands-on guide to every building block of a GenAI agent stack.
All knowledge is delivered through runnable tutorials covering orchestration, memory, observability, deployment, security, and more. Each tutorial lives in its own folder with ready-to-run notebooks or code files, so you can move from concept to working agent in minutes.
![AI Agent Architecture - Production-ready AI agent development workflow showing orchestration, memory, tools, security, observability, evaluation, a