NirDiamant / agents-towards-production

# Agents Towards Production
### _The open-source playbook for turning AI agents into real-world products._
**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.
### ⭐ **If you find value in this project, PLEASE STAR IT to help others discover these tutorials!** 
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 🎓 From prototype to production, as a method 
**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. 17 modules, each pairing a video lecture with a hands-on lab, from your first structured prompt to a working production system.
**$199 · one payment · lifetime access · 30-day refund, no questions** 
 $99 in India, Pakistan, Bangladesh, Sri Lanka and Nepal, applied at checkout. 
> "I went through the module and I like that you explicitly separate advisory rules from rules that become executable through hooks, tests or CI." 
> **Theo Valmis, Mneme HQ**
### 👉 **Get the course: $199**
Not ready? Try the first module free, no signup · Expensing it? The note for your manager
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> **28 production-grade tutorials** covering stateful workflows, vector memory, web search APIs, Docker deployment, security guardrails, GPU scaling, multi-agent coordination, and more.
## 💎 Tutorial Sponsors
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.
 Agent Framework & Workflows 
 Memory & Vector Database 
 RAG & Knowledge Management 
 Web Data Platform 
 Real‑time Web Search API 
 MCP Runtime 
 Kotlin AI Agent Framework 
 Self-Improving AI Memory 
 GPU Cloud Computing 
 Durable Execution 
## 💎 General Sponsors
Companies that support this project through partnerships and resources. 
Click a logo to visit their website.
 AI Code Review 
### 💎 Become a Sponsor
**Get in touch:**
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 🎬 Prefer video? 
*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