<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Langgraph on Fernando Hermida</title><link>https://www.fernandohermida.com/tags/langgraph/</link><description>Recent content in Langgraph on Fernando Hermida</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 10 Aug 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.fernandohermida.com/tags/langgraph/index.xml" rel="self" type="application/rss+xml"/><item><title>Graphs, Not Chains</title><link>https://www.fernandohermida.com/posts/agentic-ai-engineering-journey/04-graphs-not-chains/</link><pubDate>Mon, 10 Aug 2026 00:00:00 +0000</pubDate><guid>https://www.fernandohermida.com/posts/agentic-ai-engineering-journey/04-graphs-not-chains/</guid><description>Why LangGraph models an agent as an explicit graph of nodes and edges instead of a hidden loop, and the core primitives that make that possible.</description></item><item><title>Durable State and Checkpoints</title><link>https://www.fernandohermida.com/posts/agentic-ai-engineering-journey/05-durable-state-and-checkpoints/</link><pubDate>Mon, 10 Aug 2026 00:00:00 +0000</pubDate><guid>https://www.fernandohermida.com/posts/agentic-ai-engineering-journey/05-durable-state-and-checkpoints/</guid><description>How LangGraph snapshots a graph&amp;rsquo;s state after every step, so a run can survive a crash, get inspected mid-flight, or resume exactly where it left off.</description></item><item><title>Human-in-the-Loop Interrupts</title><link>https://www.fernandohermida.com/posts/agentic-ai-engineering-journey/06-human-in-the-loop-interrupts/</link><pubDate>Mon, 10 Aug 2026 00:00:00 +0000</pubDate><guid>https://www.fernandohermida.com/posts/agentic-ai-engineering-journey/06-human-in-the-loop-interrupts/</guid><description>How LangGraph&amp;rsquo;s interrupt() pauses a running graph mid-step to ask a human before a risky action, and how Command(resume=&amp;hellip;) picks it back up.</description></item><item><title>Tracing Agents with OpenTelemetry</title><link>https://www.fernandohermida.com/posts/agentic-ai-engineering-journey/10-tracing-agents-with-opentelemetry/</link><pubDate>Mon, 10 Aug 2026 00:00:00 +0000</pubDate><guid>https://www.fernandohermida.com/posts/agentic-ai-engineering-journey/10-tracing-agents-with-opentelemetry/</guid><description>When one specific agent run goes wrong, aggregate pass rates won&amp;rsquo;t tell you where. A span tree of every model call and tool call will, whether it&amp;rsquo;s built automatically, by a decorator, or by hand.</description></item><item><title>Timeouts, Retries, and Loop Limits</title><link>https://www.fernandohermida.com/posts/agentic-ai-engineering-journey/11-timeouts-retries-and-loop-limits/</link><pubDate>Mon, 10 Aug 2026 00:00:00 +0000</pubDate><guid>https://www.fernandohermida.com/posts/agentic-ai-engineering-journey/11-timeouts-retries-and-loop-limits/</guid><description>A timeout bounds a call, a retry survives a transient failure, and a hard iteration limit is what stops an agent that never planned to.</description></item></channel></rss>