<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Izzet Yildirim · Notes</title><description>Short write-ups on agents, storage, and research.</description><link>https://iyildirim.com/</link><item><title>Tracing an LLM agent from its reasoning down to the system calls</title><link>https://iyildirim.com/notes/tracing-llm-agent-syscalls/</link><guid isPermaLink="true">https://iyildirim.com/notes/tracing-llm-agent-syscalls/</guid><description>A worked example. I trace a small tool-calling agent on a local model with DFTracer’s agent spans, capture each tool’s system calls in a file of its own, and grow the data 16× twice to see which layer explains what.</description><pubDate>Sat, 31 Oct 2026 00:00:00 GMT</pubDate></item><item><title>Capturing and analyzing fine-grained deep learning I/O</title><link>https://iyildirim.com/notes/capturing-analyzing-fine-grained-dl-io/</link><guid isPermaLink="true">https://iyildirim.com/notes/capturing-analyzing-fine-grained-dl-io/</guid><description>A worked example. I trace a 3D UNet’s training with DFTracer at four data-loader settings and read the traces with DFAnalyzer to answer the question that matters most: how much of the loading does the GPU actually wait for?</description><pubDate>Sat, 03 Oct 2026 00:00:00 GMT</pubDate></item><item><title>Using an LLM’s thinking time to prefetch its data</title><link>https://iyildirim.com/notes/llm-thinking-time-prefetch/</link><guid isPermaLink="true">https://iyildirim.com/notes/llm-thinking-time-prefetch/</guid><description>An agent spends most of a session waiting on storage, and the seconds it spends reasoning beforehand say which files it is about to read. AgentStage uses that window to stage them.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate></item></channel></rss>