<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <channel>
    <title>DEV Community: david korir</title>
    <description>The latest articles on DEV Community by david korir (@david_korir_5824b8ef24abe).</description>
    <link>https://dev.to/david_korir_5824b8ef24abe</link>
    <image>
      <url>https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F4061614%2F7b0d78b3-955f-40f0-b554-5e1d241356bb.png</url>
      <title>DEV Community: david korir</title>
      <link>https://dev.to/david_korir_5824b8ef24abe</link>
    </image>
    <atom:link rel="self" type="application/rss+xml" href="https://dev.to/feed/david_korir_5824b8ef24abe"/>
    <language>en</language>
    <item>
      <title>Small AI teams need simple API infrastructure</title>
      <dc:creator>david korir</dc:creator>
      <pubDate>Fri, 07 Aug 2026 07:31:26 +0000</pubDate>
      <link>https://dev.to/david_korir_5824b8ef24abe/small-ai-teams-need-simple-api-infrastructure-3mfl</link>
      <guid>https://dev.to/david_korir_5824b8ef24abe/small-ai-teams-need-simple-api-infrastructure-3mfl</guid>
      <description>&lt;p&gt;Small teams building AI products usually move fast.&lt;/p&gt;

&lt;p&gt;That speed is useful, but it can also create messy workflows.&lt;/p&gt;

&lt;p&gt;A team may start with one model and one integration. Then it adds another model, another experiment, more usage, more docs, and more dashboard needs.&lt;/p&gt;

&lt;p&gt;At that point, AI API management becomes a shared team problem.&lt;/p&gt;

&lt;p&gt;A useful workflow should make it easy to:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Explore model options&lt;/li&gt;
&lt;li&gt;Manage API access&lt;/li&gt;
&lt;li&gt;Check usage&lt;/li&gt;
&lt;li&gt;Find integration docs&lt;/li&gt;
&lt;li&gt;Keep dashboards understandable&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;ChinaRouter is a unified AI API gateway and admin dashboard designed around this problem.&lt;/p&gt;

&lt;p&gt;Website: &lt;a href="https://chinarouter.net/" rel="noopener noreferrer"&gt;https://chinarouter.net/&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;If you are building AI products with a small team, how do you keep API workflows organized?&lt;/p&gt;

</description>
      <category>ai</category>
      <category>api</category>
    </item>
    <item>
      <title>Sharing ChinaRouter, a unified AI API gateway</title>
      <dc:creator>david korir</dc:creator>
      <pubDate>Wed, 05 Aug 2026 07:11:34 +0000</pubDate>
      <link>https://dev.to/david_korir_5824b8ef24abe/sharing-chinarouter-a-unified-ai-api-gateway-7lo</link>
      <guid>https://dev.to/david_korir_5824b8ef24abe/sharing-chinarouter-a-unified-ai-api-gateway-7lo</guid>
      <description>&lt;p&gt;I wanted to share ChinaRouter with the DEV community.&lt;/p&gt;

&lt;p&gt;ChinaRouter is a unified AI API gateway and admin dashboard for developers, AI builders, and teams.&lt;/p&gt;

&lt;p&gt;It helps organize key AI API workflows such as:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Model marketplace access&lt;/li&gt;
&lt;li&gt;Usage lookup&lt;/li&gt;
&lt;li&gt;Dashboard management&lt;/li&gt;
&lt;li&gt;Integration documentation&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;If you are building AI applications or managing model-based workflows, it may be useful to explore.&lt;/p&gt;

&lt;p&gt;Website: &lt;a href="https://chinarouter.net/" rel="noopener noreferrer"&gt;https://chinarouter.net/&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Feedback is welcome.&lt;br&gt;
&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/..." class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/..." alt="Uploading image" width="800" height="400"&gt;&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>api</category>
    </item>
  </channel>
</rss>
