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    <title>InfoQ - Artificial Intelligence - News</title>
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    <description>InfoQ Artificial Intelligence News feed</description>
    <item>
      <title>Instacart Builds Blueberry, an AI-Powered Assistant to Help On-Call Engineers Investigate Incidents</title>
      <link>https://www.infoq.com/news/2026/08/instacart-blueberry-sre-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/instacart-blueberry-sre-ai/en/headerimage/generatedHeaderImage-1785721280661.jpg"/&gt;&lt;p&gt;Instacart introduced Blueberry, an AI-assisted incident response system that helps on-call engineers investigate production issues faster. It combines AI agents, operational data, and historical incident knowledge to generate grounded root cause hypotheses in Slack. It uses parallel subagents, MCP integrations, and incident history to reduce investigation time while keeping engineers in control.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Site Reliability Engineering</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Operational Intelligence</category>
      <category>Developer Experience</category>
      <category>Large language models</category>
      <category>Distributed Systems</category>
      <category>Reliability</category>
      <category>Incident Response</category>
      <category>Slack</category>
      <category>Observability</category>
      <category>Platform Engineering</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 07 Aug 2026 14:34:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/instacart-blueberry-sre-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-08-07T14:34:00Z</dc:date>
      <dc:identifier>/news/2026/08/instacart-blueberry-sre-ai/en</dc:identifier>
    </item>
    <item>
      <title>AI Is Transforming Incident Response - but the Hardest Problems May Still Belong to Humans</title>
      <link>https://www.infoq.com/news/2026/08/ai-incident-response/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/ai-incident-response/en/headerimage/generatedHeaderImage-1785503516175.jpg"/&gt;&lt;p&gt;Artificial intelligence is rapidly changing how engineering teams respond to production incidents, offering the ability to summarize incident channels, analyze unfamiliar code, suggest remediation steps, generate pull requests, and increasingly assist with diagnosis.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Incident Response</category>
      <category>Observability</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 07 Aug 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/ai-incident-response/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</guid>
      <dc:creator>Craig Risi</dc:creator>
      <dc:date>2026-08-07T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/ai-incident-response/en</dc:identifier>
    </item>
    <item>
      <title>Platform Engineering Maturity Emerges as a Key Differentiator for Enterprise AI Success</title>
      <link>https://www.infoq.com/news/2026/08/perforce-maturity-ai-success/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/perforce-maturity-ai-success/en/headerimage/generatedHeaderImage-1785503078995.jpg"/&gt;&lt;p&gt;Platform engineering maturity is emerging as an important factor in determining whether organizations can turn AI adoption into sustainable operational value, according to Perforce Software's 2026 Platform Engineering Report.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Maturity Models</category>
      <category>Platform Engineering</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 04 Aug 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/perforce-maturity-ai-success/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</guid>
      <dc:creator>Craig Risi</dc:creator>
      <dc:date>2026-08-04T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/perforce-maturity-ai-success/en</dc:identifier>
    </item>
    <item>
      <title>Dropbox Integrates MCP and Dash to Close the Gap between Security Design and Code Review</title>
      <link>https://www.infoq.com/news/2026/07/dropbox-mcp-ai-code-review/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/07/dropbox-mcp-ai-code-review/en/headerimage/generatedHeaderImage-1785008611092.jpg"/&gt;&lt;p&gt;Dropbox has integrated Model Context Protocol (MCP) with its internal knowledge platform, Dash, to surface security design context during AI assisted code reviews. The system retrieves threat models and security requirements for pull requests, helping reviewers validate implementation against design intent. An InfoQ Q&amp;A explores the architecture and key lessons learned.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Productivity</category>
      <category>Artificial Intelligence</category>
      <category>Threat Modeling</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Code Reviews</category>
      <category>Software Development</category>
      <category>Application Security</category>
      <category>DevSecOps</category>
      <category>Security</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 31 Jul 2026 14:36:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/dropbox-mcp-ai-code-review/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-07-31T14:36:00Z</dc:date>
      <dc:identifier>/news/2026/07/dropbox-mcp-ai-code-review/en</dc:identifier>
    </item>
    <item>
      <title>AI-Assisted Software Development: Team Profiles and Capabilities for Putting Research into Action</title>
      <link>https://www.infoq.com/news/2026/07/AI-research-into-action/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/07/AI-research-into-action/en/headerimage/header-1784099949941.jpg"/&gt;&lt;p&gt;AI is an amplifier; strategic focus on the organizational system brings the greatest returns. DORA's 2025 research on AI in software development provides team profiles and success capabilities that can be used to put the research into practice.&lt;/p&gt; &lt;i&gt;By Ben Linders&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>QCon Software Development Conference</category>
      <category>Teamwork</category>
      <category>QCon London 2026</category>
      <category>Change</category>
      <category>Applied Research</category>
      <category>Report</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Thu, 30 Jul 2026 11:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/AI-research-into-action/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</guid>
      <dc:creator>Ben Linders</dc:creator>
      <dc:date>2026-07-30T11:30:00Z</dc:date>
      <dc:identifier>/news/2026/07/AI-research-into-action/en</dc:identifier>
    </item>
    <item>
      <title>Grafana Assistant Expands to More Than 30 Data Sources</title>
      <link>https://www.infoq.com/news/2026/07/grafana-assistant-data-source/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/07/grafana-assistant-data-source/en/headerimage/generatedHeaderImage-1785087229848.jpg"/&gt;&lt;p&gt;Grafana Labs has expanded the capabilities of Grafana Assistant, enabling its AI-powered observability assistant to query and correlate data across more than 30 different data sources through natural language.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Big Data</category>
      <category>Artificial Intelligence</category>
      <category>Grafana</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 28 Jul 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/grafana-assistant-data-source/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</guid>
      <dc:creator>Craig Risi</dc:creator>
      <dc:date>2026-07-28T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/grafana-assistant-data-source/en</dc:identifier>
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