Guide to transform fragile AI agents into production-ready systems
Hi folks, I built this guide after watching AI agent prototypes repeatedly fail in production. It demonstrates transforming a monolithic marketplace assistant into a resilient multi-agent system using orra, an open-source platform I also built for production-ready multi-agent applications. The patterns shown are valuable *even if you're building your own orchestration layer*. Each stage builds on the previous one, showing the evolution from fragile prototype to resilient system. What makes this guide valuable: * Architectural transformation with working code examples - split monolithic…
Guide to transform fragile AI agents into production-ready systems launched on March 14, 2025 with 5 votes and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Guide: from fragile multi-agent app to prod ready with orra - code and resources. - orra-dev/agent-fragile-to-prod-guide
This guide demonstrates how to transform an AI-powered Marketplace Assistant into a production-ready multi-agent application using orra . We'll explore how to build a marketplace assistant that helps users find and purchase products. This guide progressively improves the application by addressing common production challenges in multi-agent AI systems. This guide is a compliment to the Wrangling Wild Agents talk by the orra team, presented at the AI in Production 2025 conference. We'll be using various sections of that talk in this guide. User: "I need a used laptop for college that is powerful enough for programming, under $800." System: - Product Advisor Agent analyzes request, understands…from github.com
In the maker’s words, at launch
Hi folks, I built this guide after watching AI agent prototypes repeatedly fail in production. It demonstrates transforming a monolithic marketplace assistant into a resilient multi-agent system using orra, an open-source platform I also built for production-ready multi-agent applications. The patterns shown are…
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