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      <title>Presentation: Keeping ChatGPT Fast as AI Development Accelerates</title>
      <link>https://www.infoq.com/presentations/openai-performance-engineering-agentic-coding/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Workflow+%2F+BPM</link>
      <description>&lt;img src="https://res.infoq.com/presentations/openai-performance-engineering-agentic-coding/en/mediumimage/MartinSpier-medium-1785314358072.jpeg"/&gt;&lt;p&gt;Martin Spier explains how agentic workflows dramatically increase code change volume at OpenAI. He discusses the hidden systemic performance costs of rapid shipping beyond GPUs, and shares how deploying always-on AI agents automates profiling, regression detection, and continuous optimization to maintain product speed and scalability at massive global scale.&lt;/p&gt; &lt;i&gt;By Martin Spier&lt;/i&gt;</description>
      <category>ChatGPT</category>
      <category>Workflow / BPM</category>
      <category>Agents</category>
      <category>QCon AI Boston 2026</category>
      <category>Transcripts</category>
      <category>OpenAI</category>
      <category>Performance &amp; Scalability</category>
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      <pubDate>Sat, 08 Aug 2026 09:00:00 GMT</pubDate>
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      <dc:creator>Martin Spier</dc:creator>
      <dc:date>2026-08-08T09:00:00Z</dc:date>
      <dc:identifier>/presentations/openai-performance-engineering-agentic-coding/en</dc:identifier>
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      <title>HubSpot Redesigns JITA Authorization with Rule Engine Architecture</title>
      <link>https://www.infoq.com/news/2026/08/hubspot-jita-rule-engine/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Workflow+%2F+BPM</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/hubspot-jita-rule-engine/en/headerimage/generatedHeaderImage-1785708273545.jpg"/&gt;&lt;p&gt;HubSpot has redesigned its Just-In-Time Access (JITA) authorization system using a rule engine architecture. The system evaluates access requests through independent rules organized as a directed acyclic graph, adding structured decision metadata, rule-level observability, and governance workflows to replace complex conditional authorization logic.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Cloud Migration</category>
      <category>Architecture</category>
      <category>RightScale</category>
      <category>Workflow / BPM</category>
      <category>Rules Engines</category>
      <category>Metrics</category>
      <category>Governance</category>
      <category>Authorization</category>
      <category>Business Rules Engines</category>
      <category>Observability</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 03 Aug 2026 13:59:00 GMT</pubDate>
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      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-08-03T13:59:00Z</dc:date>
      <dc:identifier>/news/2026/08/hubspot-jita-rule-engine/en</dc:identifier>
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