<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: floriangoebel</title><link>https://news.ycombinator.com/user?id=floriangoebel</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Mon, 17 Aug 2026 09:47:31 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=floriangoebel" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by floriangoebel in "Show HN: ThoughtDAG – An editable context graph for LLM conversations"]]></title><description><![CDATA[
<p>Nice work! Recently I prototyped a harness for structured agentic research work and I arrived at something very similar.<p>I found it especially useful for balancing research breadth vs research width when exploring new topics.
A graph structure makes it easier for me to identify potential blind spots in the research process and allows me to be more confident that no promising alternative solutions were left out while at the same time not getting too stuck in rabbit holes of subquestions.<p>When I built my prototype I had this image of a physarum slime mold [0] in my head that branches off into all directions first, then reinforces potential paths while starving off all other branches.
In the end that path that survives is the result.<p>[0] <a href="https://carolinalombardi.com/physarum-polycephalum" rel="nofollow">https://carolinalombardi.com/physarum-polycephalum</a></p>
]]></description><pubDate>Sat, 15 Aug 2026 17:02:58 +0000</pubDate><link>https://news.ycombinator.com/item?id=49312237</link><dc:creator>floriangoebel</dc:creator><comments>https://news.ycombinator.com/item?id=49312237</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49312237</guid></item><item><title><![CDATA[New comment by floriangoebel in "What's the best programming language for coding agents?"]]></title><description><![CDATA[
<p>A while ago I benchmarked different tokenizers with a few common C++ coding styles. Depending on the combination I was able to reduce the token usage by as much as 5% just by auto formatting the codebase with clang-format.
Of course, this doesn't necessarily mean that a coding agent would perform better, but it was a fun experiment.</p>
]]></description><pubDate>Tue, 11 Aug 2026 11:04:00 +0000</pubDate><link>https://news.ycombinator.com/item?id=49256271</link><dc:creator>floriangoebel</dc:creator><comments>https://news.ycombinator.com/item?id=49256271</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49256271</guid></item><item><title><![CDATA[New comment by floriangoebel in "Caveman: Why use many token when few token do trick"]]></title><description><![CDATA[
<p>Wouldn't this increase your token usage because the tokenizer now can't process whole words, but it needs to go letter by letter?</p>
]]></description><pubDate>Sun, 05 Apr 2026 10:35:36 +0000</pubDate><link>https://news.ycombinator.com/item?id=47648015</link><dc:creator>floriangoebel</dc:creator><comments>https://news.ycombinator.com/item?id=47648015</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47648015</guid></item></channel></rss>