Anyone running AI agents in production with proper orchestration?
Summary
A developer asks for recommendations on production orchestration tools for multi-agent AI workflows with branching, retries, and human-in-the-loop approvals, as their current FastAPI-based solution has become unmaintainable.
Similar Articles
Which platform is your company using for ai agent observability and reliability needs?
A developer building multi-agent financial workflows seeks community advice on observability and reliability tooling for AI agents in production, sharing frustration with fragmented landscape and cascading failures.
how to scale AI agents in production workflows when the underlying business process is broken?
A practitioner shares challenges scaling multi-agent AI systems in production, including dealing with shadow workflows (undocumented Slack threads and spreadsheets), context loss across different systems (ERP to CRM), and cross-departmental ownership issues. They seek advice from others who have navigated these real-world problems.
"At what point does adding another agent actually hurt your system? Asking because my 6-agent pipeline is slower and less reliable than my old 2-agent one
A developer shares real-world experiences with AI orchestration frameworks (LangGraph, CrewAI, AutoGen), noting trade-offs between ease of prototyping and production reliability, and asks the community about handling failures, human-in-the-loop, and token costs.
Where AI agents actually break in real workflows (not demos)
A discussion on where AI agents fail in real workflows, highlighting issues with coordination, reliability under messy inputs, and the challenge of reducing human intervention in production.
The Real Truth About AI Agents
An experienced practitioner shares hard-won lessons from deploying 25+ AI agents to production, arguing that memory, orchestration, and auditability matter far more than model choice. The article details common failure modes like context loss and silent cost loops, and recommends a stack including Claude Sonnet 4, Pydantic AI, and dedicated memory layers like Octopodas.