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      <title>Copilot Code Review Reaches Azure Repos, Billed Per Review with Reporting Two Days behind</title>
      <link>https://www.infoq.com/news/2026/09/copilot-code-review-azure-repos/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Continuous+Delivery</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/copilot-code-review-azure-repos/en/headerimage/generatedHeaderImage-1788266643329.jpg"/&gt;&lt;p&gt;Microsoft opened GitHub Copilot code review for Azure Repos to all Azure DevOps customers, after acknowledging that many are not ready to migrate to GitHub. Reviews bill per use through the linked Azure subscription and appear in Cost Management 48 hours later. Budgets notify but do not stop reviews, and concurrency caps at five per organization.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cost Optimization</category>
      <category>Cloud</category>
      <category>Azure</category>
      <category>Developer Experience</category>
      <category>Generative AI</category>
      <category>Continuous Delivery</category>
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      <pubDate>Fri, 04 Sep 2026 10:01:00 GMT</pubDate>
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      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-09-04T10:01:00Z</dc:date>
      <dc:identifier>/news/2026/09/copilot-code-review-azure-repos/en</dc:identifier>
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      <title>Swiggy Uses 350+ Features and Multi-Task MLP to Predict Customer Lifetime Value</title>
      <link>https://www.infoq.com/news/2026/09/swiggy-pltv-multitask-mlp/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Continuous+Delivery</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/swiggy-pltv-multitask-mlp/en/headerimage/generatedHeaderImage-1787507980584.jpg"/&gt;&lt;p&gt;Swiggy developed an in-house predicted lifetime value model using more than 350 pre order features and a multi task MLP for Food and Instamart. Adding order count as an auxiliary task reduced model parameters by 63% while improving predictive performance. The pLTV signal is used with Google Target ROAS bidding to optimize customer acquisition.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Advertising</category>
      <category>Customers &amp; Requirements</category>
      <category>Modeling</category>
      <category>Software Engineering</category>
      <category>Machine Learning</category>
      <category>Online Learning</category>
      <category>Acquisition</category>
      <category>Neural Networks</category>
      <category>Google</category>
      <category>Continuous Delivery</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Wed, 02 Sep 2026 13:55:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/swiggy-pltv-multitask-mlp/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Continuous+Delivery</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-09-02T13:55:00Z</dc:date>
      <dc:identifier>/news/2026/09/swiggy-pltv-multitask-mlp/en</dc:identifier>
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