<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Aider on Blackwell Systems</title><link>https://blog.blackwell-systems.com/tags/aider/</link><description>Recent content in Aider on Blackwell Systems</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 24 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.blackwell-systems.com/tags/aider/index.xml" rel="self" type="application/rss+xml"/><item><title>We Benchmarked the Most Popular Code Search Tools. We Beat All of Them.</title><link>https://blog.blackwell-systems.com/posts/ai-code-context-tools-benchmark/</link><pubDate>Sun, 24 May 2026 00:00:00 +0000</pubDate><guid>https://blog.blackwell-systems.com/posts/ai-code-context-tools-benchmark/</guid><description>codegraph has 19K GitHub stars. Aider has 20K. We benchmarked 7 systems on 117 tasks across 7 codebases (3.5M LOC to 14K LOC). knowing is 1.36x more precise than codegraph, 2.45x vs GitNexus, 2.92x vs Gortex, 14.2x vs grep. Queries Kubernetes in 2ms (codegraph: ~1s), eliminates 99.9% of grep noise on ambiguous queries.</description></item></channel></rss>