Agent infrastructure, deeply explained
Technical posts from the team building Diaflow. Orchestration patterns, memory architecture, observability practices, and production lessons.
All posts
What It Actually Takes to Deploy Autonomous Agents in Production
Most agent demos work. Most production deployments don't — at first. Here's what we learned shipping agents at scale.
Multi-Agent Orchestration: Three Patterns That Actually Work
Sequential, parallel, and hierarchical orchestration patterns with code examples for each.
Agent Memory Beyond Context Windows: Retrieval That Doesn't Break
Why context windows aren't memory, and the three memory patterns that hold up in production.
Ops Teams: Your AI Agents Need Monitoring Just Like Your Services Do
SLOs, latency alerts, anomaly detection — if you'd build these for a microservice, you need them for your agents.
Tool Calling in Production: What Goes Wrong and How to Prevent It
Timeouts, schema mismatches, rate limits — the real failure modes of LLM tool calls and how to defend against them.
Agentic Loops, Infinite Retries, and How to Build Agents That Fail Gracefully
Every agentic loop is one bad LLM response away from spinning forever. How to design retry logic and break conditions.
Building Reliable Agent Pipelines: A Practical Checklist
Twelve things we check before every production agent deployment at Diaflow.