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    <title>InfoQ - AI, ML &amp; Data Engineering - News</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ AI, ML &amp; Data Engineering News feed</description>
    <item>
      <title>Meta Open-Sources Muse Glimmer: A 30B Local Agentic Model Optimised for On-Device Execution</title>
      <link>https://www.infoq.com/news/2026/08/meta-muse-glimmer/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Meta AI Research has introduced Muse Glimmer, a 30-billion-parameter open-weight model under the Apache 2.0 license, designed for local workflows. It enables autonomous agents and complex task execution on consumer GPUs without relying on cloud APIs. The model employs a multi-stage training approach for efficient performance and supports multimodal inputs, enhancing coding and automation tasks.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Foundation Model</category>
      <category>Large language models</category>
      <category>AI Architecture</category>
      <category>Local Inference</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 14 Aug 2026 05:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/meta-muse-glimmer/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-08-14T05:05:00Z</dc:date>
      <dc:identifier>/news/2026/08/meta-muse-glimmer/en</dc:identifier>
    </item>
    <item>
      <title>Vercel Launches v0 API for Headless App Building</title>
      <link>https://www.infoq.com/news/2026/08/vercel-v0-api/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/vercel-v0-api/en/headerimage/generatedHeaderImage-1786628629656.jpg"/&gt;&lt;p&gt;Vercel has made the v0 API generally available, enabling developers and AI agents to programmatically generate, iterate on, preview, and deploy applications through API calls.&lt;/p&gt; &lt;i&gt;By Daniel Dominguez&lt;/i&gt;</description>
      <category>API</category>
      <category>Generative AI</category>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>Code Generation</category>
      <category>Software Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Thu, 13 Aug 2026 15:37:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/vercel-v0-api/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</guid>
      <dc:creator>Daniel Dominguez</dc:creator>
      <dc:date>2026-08-13T15:37:00Z</dc:date>
      <dc:identifier>/news/2026/08/vercel-v0-api/en</dc:identifier>
    </item>
    <item>
      <title>How Artificial Intelligence Disrupts Engineering Progression</title>
      <link>https://www.infoq.com/news/2026/08/AI-disrupts-engineering-progress/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/AI-disrupts-engineering-progress/en/headerimage/header-1786359459457.jpg"/&gt;&lt;p&gt;AI is disrupting career progression by eliminating the learning opportunities at each rung while simultaneously enabling people to perform above their experience level, Alasdair Allan explained in his talk Engineering Progression When AI Ate the Middle at QCon London. Fewer junior developers join the industry, and AI slows hiring at the entry level.&lt;/p&gt; &lt;i&gt;By Ben Linders&lt;/i&gt;</description>
      <category>Artifacts &amp; Tools</category>
      <category>learning</category>
      <category>QCon London 2026</category>
      <category>Artificial Intelligence</category>
      <category>QCon Software Development Conference</category>
      <category>Software Engineering</category>
      <category>Careers</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Thu, 13 Aug 2026 11:28:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/AI-disrupts-engineering-progress/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</guid>
      <dc:creator>Ben Linders</dc:creator>
      <dc:date>2026-08-13T11:28:00Z</dc:date>
      <dc:identifier>/news/2026/08/AI-disrupts-engineering-progress/en</dc:identifier>
    </item>
    <item>
      <title>Anthropic's Claude Breaches Sandbox During Model Security Evaluations</title>
      <link>https://www.infoq.com/news/2026/08/claude-sandox-breach/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Anthropic conducted an audit of 141006 evaluation runs after OpenAI's sandbox escape disclosure. The review identified three incidents where Claude models accessed the internet due to misconfigurations. These incidents involved unauthorised attacks on live targets. Anthropic has suspended offensive evaluations and plans to enhance security measures and collaborate with external auditors.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Frontier Model</category>
      <category>Cloud Security</category>
      <category>Security Breach</category>
      <category>Large language models</category>
      <category>AI Security</category>
      <category>Model Evaluation</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Thu, 13 Aug 2026 10:10:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/claude-sandox-breach/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-08-13T10:10:00Z</dc:date>
      <dc:identifier>/news/2026/08/claude-sandox-breach/en</dc:identifier>
    </item>
    <item>
      <title>Spotify Builds External Index to Enable Low Latency Point Queries on its Data Lake</title>
      <link>https://www.infoq.com/news/2026/08/spotify-data-lake-point-queries/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Spotify introduced  external indexing architecture for Apache Parquet data lakes that enables low-latency point queries without replicating datasets into operational databases. The approach maps lookup keys to Parquet files and row locations, allowing targeted reads from cloud object storage while supporting analytics, machine learning, AI applications, and online services from the same datasets.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Low Latency</category>
      <category>Data</category>
      <category>Distributed Systems</category>
      <category>Software Engineering</category>
      <category>Data Lake</category>
      <category>Big Data</category>
      <category>AI Architecture</category>
      <category>Google Cloud</category>
      <category>IndexedDB</category>
      <category>Apache</category>
      <category>Apache Iceberg</category>
      <category>Query</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 12 Aug 2026 14:26:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/spotify-data-lake-point-queries/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-08-12T14:26:00Z</dc:date>
      <dc:identifier>/news/2026/08/spotify-data-lake-point-queries/en</dc:identifier>
    </item>
    <item>
      <title>MCP Goes Stateless, and Developers Ask Whether That Just Makes it an API Again</title>
      <link>https://www.infoq.com/news/2026/08/mcp-stateless-gateway/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/mcp-stateless-gateway/en/headerimage/generatedHeaderImage-1786118533592.jpg"/&gt;&lt;p&gt;The MCP 2026-07-28 specification removes the initialize handshake and session header, and adds required method and tool-name headers so gateways can route agent traffic without parsing JSON. Reaction split between developers calling it a rediscovery of REST and those arguing the standard itself was always the point.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>API Gateway</category>
      <category>Cloudflare</category>
      <category>Cloud</category>
      <category>Serverless</category>
      <category>Standardization</category>
      <category>AI Architecture</category>
      <category>Model Context Protocol (MCP)</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Wed, 12 Aug 2026 09:48:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/mcp-stateless-gateway/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-08-12T09:48:00Z</dc:date>
      <dc:identifier>/news/2026/08/mcp-stateless-gateway/en</dc:identifier>
    </item>
    <item>
      <title>IBM and Red Hat Expand Lightwell to Strengthen Trust and Governance for AI-Era Open Source</title>
      <link>https://www.infoq.com/news/2026/08/lightwell-ai-open-source/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/lightwell-ai-open-source/en/headerimage/generatedHeaderImage-1785852993652.jpg"/&gt;&lt;p&gt;IBM and Red Hat have announced an expansion of Lightwell, introducing new commercial offerings designed to help organizations establish trusted, verifiable software supply chains for the age of AI-assisted software development.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Open Source</category>
      <category>Cloud</category>
      <category>Artificial Intelligence</category>
      <category>IBM</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 11 Aug 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/lightwell-ai-open-source/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</guid>
      <dc:creator>Craig Risi</dc:creator>
      <dc:date>2026-08-11T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/lightwell-ai-open-source/en</dc:identifier>
    </item>
    <item>
      <title>CloudFlare Previews Automatic WebMCP Support for Web Pages</title>
      <link>https://www.infoq.com/news/2026/08/cloudflare-webmcp/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/cloudflare-webmcp/en/headerimage/cloudflare-webmcp-1786389410161.jpeg"/&gt;&lt;p&gt;Cloudflare announced a developer preview that lets any website enable a WebMCP (Web Model Context Protocol) interface with a single dashboard switch. This allows browser-based AI agents to interact with unmodified web pages through structured tools instead of scraping or guessing, keeping human traffic and control on the original site.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>WebMCP</category>
      <category>Cloudflare</category>
      <category>Cloud</category>
      <category>Large language models</category>
      <category>Agents</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 10 Aug 2026 20:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/cloudflare-webmcp/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-08-10T20:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/cloudflare-webmcp/en</dc:identifier>
    </item>
    <item>
      <title>Stripe Uses Graph Search and State Machines to Automate Database Remediation</title>
      <link>https://www.infoq.com/news/2026/08/database-remediation-graph/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/database-remediation-graph/en/headerimage/generatedHeaderImage-1785167911858.jpg"/&gt;&lt;p&gt;The engineering team at Stripe recently described how they automated database incident recovery by modeling their global infrastructure as a graph. Using graph search algorithms together with state machines, the team computes and executes remediation plans automatically.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>GraphDB</category>
      <category>MongoDB</category>
      <category>State-machine</category>
      <category>Database</category>
      <category>Site Reliability Engineering</category>
      <category>Incident Response</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Sun, 09 Aug 2026 06:55:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/database-remediation-graph/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-08-09T06:55:00Z</dc:date>
      <dc:identifier>/news/2026/08/database-remediation-graph/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare's Precursor Detects Bots and AI Agents through Continuous Behavioral Analysis</title>
      <link>https://www.infoq.com/news/2026/08/cloudflare-precursor-detection/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/cloudflare-precursor-detection/en/headerimage/generatedHeaderImage-1784634999305.jpg"/&gt;&lt;p&gt;Cloudflare recently introduced Precursor, a client-side behavioral analysis engine that continuously evaluates session interactions, such as mouse movements and keyboard timing, to improve detection of sophisticated bots and AI agents without relying solely on one-time challenges like CAPTCHAs.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Cloud Security</category>
      <category>Cloudflare</category>
      <category>Cloud</category>
      <category>BOTS</category>
      <category>AI Security</category>
      <category>Authentication</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Sat, 08 Aug 2026 07:54:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/cloudflare-precursor-detection/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-08-08T07:54:00Z</dc:date>
      <dc:identifier>/news/2026/08/cloudflare-precursor-detection/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Launches Persistent, Stateful, Computer-Like Environments for Agents</title>
      <link>https://www.infoq.com/news/2026/08/cloudflare-computer-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/cloudflare-computer-agents/en/headerimage/cloudflare-computer-agents-1786134762378.jpeg"/&gt;&lt;p&gt;Cloudflare has introduced Cloudflare Computer, a new open-source runtime designed to give AI agents something closer to a real "computer" instead of just ephemeral containers. It leverages Cloudflare isolates for fast serverless execution, making agents cheaper, faster, and more scalable, according to the company.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Isolates</category>
      <category>Containers</category>
      <category>Large language models</category>
      <category>Agents</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 07 Aug 2026 21:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/cloudflare-computer-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-08-07T21:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/cloudflare-computer-agents/en</dc:identifier>
    </item>
    <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=AI%2C+ML+%26+Data+Engineering-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>Distributed Systems</category>
      <category>Reliability</category>
      <category>Large language models</category>
      <category>Artificial Intelligence</category>
      <category>Site Reliability Engineering</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Operational Intelligence</category>
      <category>Developer Experience</category>
      <category>Slack</category>
      <category>Incident Response</category>
      <category>Platform Engineering</category>
      <category>Observability</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</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=AI%2C+ML+%26+Data+Engineering-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=AI%2C+ML+%26+Data+Engineering-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>Observability</category>
      <category>Incident Response</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</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=AI%2C+ML+%26+Data+Engineering-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>Azure API Management Adds Dedicated AI Gateway Tier, Governing Models and MCP Tools</title>
      <link>https://www.infoq.com/news/2026/08/azure-apim-ai-gateway-tier/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/azure-apim-ai-gateway-tier/en/headerimage/generatedHeaderImage-1785739180016.jpg"/&gt;&lt;p&gt;Microsoft released a dedicated AI Gateway tier of Azure API Management in public preview, with a control plane built around models, MCP servers and tools rather than APIs. It fronts Foundry, Bedrock, Vertex AI and OpenAI behind one endpoint, with policy cards instead of XML. Architects welcomed the consolidation while questioning where the governance boundary sits.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Generative AI</category>
      <category>Azure</category>
      <category>API Gateway</category>
      <category>Cloud</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Microsoft Azure</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 07 Aug 2026 06:35:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/azure-apim-ai-gateway-tier/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-08-07T06:35:00Z</dc:date>
      <dc:identifier>/news/2026/08/azure-apim-ai-gateway-tier/en</dc:identifier>
    </item>
    <item>
      <title>Pods as Workers, Not Agents: Rethinking the Deployment Unit for AI Agents on Kubernetes</title>
      <link>https://www.infoq.com/news/2026/08/pod-deployment-unit-ai-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/pod-deployment-unit-ai-agents/en/headerimage/header-1785763169197.jpeg"/&gt;&lt;p&gt;Running AI agents on Kubernetes raises a key question: should each agent get its own Pod? The kagent project argues no—agents are bursty, short-lived, can spawn subagents, and may wait for human approval, making one Pod per agent wasteful. Agent-substrate adds a control plane to schedule logical “Actors” onto long-lived worker Pods.&lt;/p&gt; &lt;i&gt;By Mark Silvester&lt;/i&gt;</description>
      <category>Cloud Native Computing Foundation</category>
      <category>Cloud Native Architecture</category>
      <category>Agents</category>
      <category>AI Architecture</category>
      <category>Kubernetes</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Thu, 06 Aug 2026 06:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/pod-deployment-unit-ai-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</guid>
      <dc:creator>Mark Silvester</dc:creator>
      <dc:date>2026-08-06T06:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/pod-deployment-unit-ai-agents/en</dc:identifier>
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