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    <title>topic Dual-speed AI Apps on Databricks: Keep the Product Stable While Shipping Intelligence Fast in MVP Articles</title>
    <link>https://community.databricks.com/t5/mvp-articles/dual-speed-ai-apps-on-databricks-keep-the-product-stable-while/m-p/167543#M288</link>
    <description>&lt;P&gt;Hi Databricks Community &lt;span class="lia-unicode-emoji" title=":waving_hand:"&gt;👋&lt;/span&gt;&lt;/P&gt;&lt;P&gt;I've just published&amp;nbsp; adeep dive on &lt;STRONG&gt;dual-speed (bimodal) AI app architecture&lt;/STRONG&gt;: keep the &lt;STRONG&gt;deterministic application layer&amp;nbsp;&lt;/STRONG&gt;stable (auth, workflows, migrations), while iterating quickly on the &lt;STRONG&gt;intelligence layer&lt;/STRONG&gt; (prompts, model routing, retrieval, A/B tests) behind a clean contract boundary.&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Key takeaways:&lt;/STRONG&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Why GenAI products naturally need &lt;STRONG&gt;two different layers&lt;/STRONG&gt;&lt;/LI&gt;&lt;LI&gt;What the &lt;STRONG&gt;App ↔ Intelligence contract&lt;/STRONG&gt; must guarantee&amp;nbsp;&lt;/LI&gt;&lt;LI&gt;Tradeoffs between &lt;STRONG&gt;API vs DB vs shared library&lt;/STRONG&gt; boundaries&lt;/LI&gt;&lt;LI&gt;A Databricks-flavored mapping for services like Apps, Lakeflow Jobs, Model Serving, Lakebase etc.&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":right_arrow:"&gt;➡️&lt;/span&gt; &lt;STRONG&gt;Full article on Medium:&lt;/STRONG&gt;&lt;BR /&gt;&lt;A class="" href="https://medium.com/hiflylabs/bimodal-ai-app-stack-on-databricks-how-to-keep-the-product-stable-while-shipping-intelligence-acaa704a2856" target="_new" rel="noopener"&gt;https://medium.com/hiflylabs/bimodal-ai-app-stack-on-databricks-how-to-keep-the-product-stable-while-shipping-intelligence-acaa704a2856&lt;/A&gt;&lt;/P&gt;</description>
    <pubDate>Fri, 04 Sep 2026 11:51:53 GMT</pubDate>
    <dc:creator>Paldom</dc:creator>
    <dc:date>2026-09-04T11:51:53Z</dc:date>
    <item>
      <title>Dual-speed AI Apps on Databricks: Keep the Product Stable While Shipping Intelligence Fast</title>
      <link>https://community.databricks.com/t5/mvp-articles/dual-speed-ai-apps-on-databricks-keep-the-product-stable-while/m-p/167543#M288</link>
      <description>&lt;P&gt;Hi Databricks Community &lt;span class="lia-unicode-emoji" title=":waving_hand:"&gt;👋&lt;/span&gt;&lt;/P&gt;&lt;P&gt;I've just published&amp;nbsp; adeep dive on &lt;STRONG&gt;dual-speed (bimodal) AI app architecture&lt;/STRONG&gt;: keep the &lt;STRONG&gt;deterministic application layer&amp;nbsp;&lt;/STRONG&gt;stable (auth, workflows, migrations), while iterating quickly on the &lt;STRONG&gt;intelligence layer&lt;/STRONG&gt; (prompts, model routing, retrieval, A/B tests) behind a clean contract boundary.&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Key takeaways:&lt;/STRONG&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Why GenAI products naturally need &lt;STRONG&gt;two different layers&lt;/STRONG&gt;&lt;/LI&gt;&lt;LI&gt;What the &lt;STRONG&gt;App ↔ Intelligence contract&lt;/STRONG&gt; must guarantee&amp;nbsp;&lt;/LI&gt;&lt;LI&gt;Tradeoffs between &lt;STRONG&gt;API vs DB vs shared library&lt;/STRONG&gt; boundaries&lt;/LI&gt;&lt;LI&gt;A Databricks-flavored mapping for services like Apps, Lakeflow Jobs, Model Serving, Lakebase etc.&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":right_arrow:"&gt;➡️&lt;/span&gt; &lt;STRONG&gt;Full article on Medium:&lt;/STRONG&gt;&lt;BR /&gt;&lt;A class="" href="https://medium.com/hiflylabs/bimodal-ai-app-stack-on-databricks-how-to-keep-the-product-stable-while-shipping-intelligence-acaa704a2856" target="_new" rel="noopener"&gt;https://medium.com/hiflylabs/bimodal-ai-app-stack-on-databricks-how-to-keep-the-product-stable-while-shipping-intelligence-acaa704a2856&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 04 Sep 2026 11:51:53 GMT</pubDate>
      <guid>https://community.databricks.com/t5/mvp-articles/dual-speed-ai-apps-on-databricks-keep-the-product-stable-while/m-p/167543#M288</guid>
      <dc:creator>Paldom</dc:creator>
      <dc:date>2026-09-04T11:51:53Z</dc:date>
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