<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: poytr1</title><link>https://news.ycombinator.com/user?id=poytr1</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Sun, 06 Sep 2026 19:06:06 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=poytr1" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by poytr1 in "Grep beats LSP? Why coding agents ignore your fancier tools"]]></title><description><![CDATA[
<p>I had a similar intuition that we could definitely optimize token efficiency and performance for non-general tasks.<p>For example, I was handling a lot of infra operations, many of which follow fixed workflows like locating a specific log in certain time range, identify the issue, and apply the appropriate mitigation steps. Since these workflows are entirely command-line based, I added a hook to Claude Code that monitors the commands I repeatedly run, including those invoked by Claude Code itself, and compiles them into reusable scripts(with skills as entries). It can work well.<p>The takeaway is that we should spend more time reviewing our own work patterns and workflows.</p>
]]></description><pubDate>Fri, 04 Sep 2026 06:45:23 +0000</pubDate><link>https://news.ycombinator.com/item?id=49561300</link><dc:creator>poytr1</dc:creator><comments>https://news.ycombinator.com/item?id=49561300</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49561300</guid></item><item><title><![CDATA[New comment by poytr1 in "Grep beats LSP? Why coding agents ignore your fancier tools"]]></title><description><![CDATA[
<p>Interesting tool, it seems that dedicated skills for these tools are important. Even explicit system-prompt instructions—such as “you must use tool X for code exploration”—often fail to behave as expected.<p>Another tricky part is that how to evaluate customized toolsets properly and ensure they continue to work perfectly as the underlying model/harness evolves.</p>
]]></description><pubDate>Fri, 04 Sep 2026 06:29:19 +0000</pubDate><link>https://news.ycombinator.com/item?id=49561196</link><dc:creator>poytr1</dc:creator><comments>https://news.ycombinator.com/item?id=49561196</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49561196</guid></item><item><title><![CDATA[New comment by poytr1 in "Grep beats LSP? Why coding agents ignore your fancier tools"]]></title><description><![CDATA[
<p>I am thinking of where the initial training data came from. For example, Claude Code likely collected a substantial number of real-world coding trajectories through its CLI. However, trajectories involving tools such as LSP, MCP, or AST-grep were probably scarce in the dataset.<p>This lack of representation may also indirectly limit the effectiveness of subsequently generated synthetic data.</p>
]]></description><pubDate>Fri, 04 Sep 2026 06:15:53 +0000</pubDate><link>https://news.ycombinator.com/item?id=49561117</link><dc:creator>poytr1</dc:creator><comments>https://news.ycombinator.com/item?id=49561117</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49561117</guid></item></channel></rss>