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Writing on AI agents, state management, memory, observability, and building systems that scale.

Observability for AI Agents

05/06/2026

Logs, traces, evaluation, and production monitoring for AI agents — why traditional observability breaks down and how to instrument agent behavior end to end.

Memory for AI Agents

03/06/2026

How agent memory forms, is stored, retrieved, and maintained across sessions — from extraction and deduplication to forgetting, personalization, and multi-agent systems.

State Management for Agentic Workflows

01/06/2026

What state means in agentic workflows, the four types of agent memory, persistence patterns, HITL, multi-agent coordination, and failure recovery.