agents-towards-production
by NirDiamant
Code-first tutorials and blueprints for building production-grade GenAI agents
Overview
Teaches end-to-end, code-first patterns for taking GenAI agents from prototype to production through guided notebooks and reusable blueprints. Walks through each layer—design, orchestration, testing, deployment and observability—with runnable examples and proven practices. Includes practical patterns for agent delegation, tool integration, and failure-mode handling that you can adapt to real systems. Hierarchical Multi-Agent Pattern and MCP Pattern provide structural templates for coordinating complex agent activity and tool usage.
Key Benefits
Ideal For
Engineers and ML/Ops teams who need practical, runnable guidance to move multi-agent prototypes into production safely. Defense in Depth Pattern
Real-World Examples
- Implementing delegation and orchestration patterns for multi-agent workflows
- Adopting repeatable pre-production testing and evaluation practices for agents
- Building observability and failure-mode handling into agent runtimes