<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <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>Pinecone Introduces Nexus Engine for Compiling Business Context into Structured Data for AI Agents</title>
      <link>https://www.infoq.com/news/2026/07/pinecon-nexus-knowledge-engine/?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;Now generally available, Pinecone Nexus is a "knowledge engine" for AI agents that transforms enterprise data into a structured layer agents can query directly. It enables teams to ingest and curate business context once for all, making it reusable across agents and reducing token costs while improving accuracy.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Retrieval-Augmented Generation</category>
      <category>Large language models</category>
      <category>Enterprise</category>
      <category>vector databases</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 18 Jul 2026 14:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/pinecon-nexus-knowledge-engine/?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>2026-07-18T14:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/pinecon-nexus-knowledge-engine/en</dc:identifier>
    </item>
    <item>
      <title>Version Controlled SQL Database Dolt Releases 2.0 with Automatic Storage Cleanup and Compression</title>
      <link>https://www.infoq.com/news/2026/07/dolt-version-control/?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/2026/07/dolt-version-control/en/headerimage/generatedHeaderImage-1783067948773.jpg"/&gt;&lt;p&gt;DoltHub has recently released Dolt 2.0, a major update to the open source version-controlled SQL database. The latest major version adds automatic storage optimization, including garbage collection and compression, along with improved support for large and vector data types.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>MySQL</category>
      <category>Version Control</category>
      <category>Database</category>
      <category>Git</category>
      <category>Data Lake</category>
      <category>vector databases</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 18 Jul 2026 07:28:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/dolt-version-control/?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>2026-07-18T07:28:00Z</dc:date>
      <dc:identifier>/news/2026/07/dolt-version-control/en</dc:identifier>
    </item>
    <item>
      <title>Cloud Native Infrastructure Emerges as the Foundation for Trustworthy Agentic AI</title>
      <link>https://www.infoq.com/news/2026/07/cncf-trustworthy-agentic-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/2026/07/cncf-trustworthy-agentic-ai/en/headerimage/generatedHeaderImage-1783856714710.jpg"/&gt;&lt;p&gt;A new technical analysis published by the Cloud Native Computing Foundation (CNCF) argues that the future of agentic AI will be built not on entirely new infrastructure, but on the mature cloud-native ecosystem that already powers modern distributed applications&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Kubernetes</category>
      <category>OpenTelemetry</category>
      <category>Cloud Native Computing Foundation</category>
      <category>GitOps</category>
      <category>Apache Kafka</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 17 Jul 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/cncf-trustworthy-agentic-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>Craig Risi</dc:creator>
      <dc:date>2026-07-17T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/cncf-trustworthy-agentic-ai/en</dc:identifier>
    </item>
    <item>
      <title>QCon AI Boston: Production AI Moves Beyond Prompts to Platforms, Harnesses, and Evals</title>
      <link>https://www.infoq.com/news/2026/07/production-ai-platforms-evals/?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/2026/07/production-ai-platforms-evals/en/headerimage/production-ai-platforms-evals-header-1784186327712.jpg"/&gt;&lt;p&gt;QCon AI Boston 2026 focused on the operational challenges of deploying AI agents, emphasizing the need for robust production infrastructure. Key themes included improving context management, ensuring security through a "harness" around agents, and adopting a comprehensive engineering model for AI.&lt;/p&gt; &lt;i&gt;By Tatiana Fesenko&lt;/i&gt;</description>
      <category>Agents</category>
      <category>QCon AI Boston 2026</category>
      <category>Productivity</category>
      <category>QCon Software Development Conference</category>
      <category>Model</category>
      <category>Infrastructure</category>
      <category>Platforms</category>
      <category>Security</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 17 Jul 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/production-ai-platforms-evals/?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>Tatiana Fesenko</dc:creator>
      <dc:date>2026-07-17T09:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/production-ai-platforms-evals/en</dc:identifier>
    </item>
    <item>
      <title>AI Agents with Cloud Credentials Are Outrunning Billing Guardrails Built for Human-Speed Mistakes</title>
      <link>https://www.infoq.com/news/2026/07/ai-agents-billing-guardrails/?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/2026/07/ai-agents-billing-guardrails/en/headerimage/generatedHeaderImage-1783852122330.jpg"/&gt;&lt;p&gt;A three-person agency received a $14,000 AWS bill in one day after attackers extracted static access keys and burned Claude invocations on Bedrock. Combined with May's DN42 incident, where an autonomous agent provisioned $6,531 of oversized infrastructure in 24 hours, practitioners warn that cloud billing lags roughly a day behind agent-speed spend.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>AI Architecture</category>
      <category>Cloud Architecture</category>
      <category>Cloud</category>
      <category>Cost Optimization</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 16 Jul 2026 10:17:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/ai-agents-billing-guardrails/?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>2026-07-16T10:17:00Z</dc:date>
      <dc:identifier>/news/2026/07/ai-agents-billing-guardrails/en</dc:identifier>
    </item>
    <item>
      <title>Stripe Benchmark Shows AI Agents Build Integrations but Struggle with Validation</title>
      <link>https://www.infoq.com/news/2026/07/stripe-ai-agents-benchmark/?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/2026/07/stripe-ai-agents-benchmark/en/headerimage/generatedHeaderImage-1783301844753.jpg"/&gt;&lt;p&gt;Stripe introduces a benchmark suite to evaluate whether AI agents can build real-world Stripe integrations across backend, frontend, and browser-based checkout workflows. The study examines end-to-end software engineering capability, focusing on execution, testing, and validation gaps in agentic systems under production-like constraints.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>AI Development</category>
      <category>AIOps</category>
      <category>payment</category>
      <category>Validation</category>
      <category>ChatGPT</category>
      <category>Web Browser</category>
      <category>Observability</category>
      <category>Agents</category>
      <category>Software Engineering</category>
      <category>Stripe</category>
      <category>Benchmark</category>
      <category>Claude</category>
      <category>Integration</category>
      <category>AI Coding</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 15 Jul 2026 14:25:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/stripe-ai-agents-benchmark/?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>2026-07-15T14:25:00Z</dc:date>
      <dc:identifier>/news/2026/07/stripe-ai-agents-benchmark/en</dc:identifier>
    </item>
    <item>
      <title>AWS Ships Claude Apps Gateway as Self-Hosted Control Plane for Claude Code and Claude Desktop</title>
      <link>https://www.infoq.com/news/2026/07/claude-apps-gateway-aws/?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;AWS and Anthropic have released the Claude apps gateway for AWS, a self-hosted control plane that centralizes identity, policy, telemetry, routing, and spend caps for Claude Code and Claude Desktop. The gateway runs as a single stateless container and routes inference to Amazon Bedrock or Claude Platform on AWS.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>AI Architecture</category>
      <category>Anthropic</category>
      <category>Cloud Architecture</category>
      <category>Cloud</category>
      <category>Access Control</category>
      <category>Claude</category>
      <category>AWS</category>
      <category>Amazon Web Services</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 15 Jul 2026 11:04:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/claude-apps-gateway-aws/?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>2026-07-15T11:04:00Z</dc:date>
      <dc:identifier>/news/2026/07/claude-apps-gateway-aws/en</dc:identifier>
    </item>
    <item>
      <title>Google Cloud Workbench Notebooks Extension Connects VS Code to Google Cloud's Jupyter Notebooks</title>
      <link>https://www.infoq.com/news/2026/07/cloud-workbench-vscode-extension/?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;The Google Cloud Workbench Notebooks extension for VS Code is a new tool that enables developers to connect their local IDE directly to managed Jupyter notebook environments on Google Cloud.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Google Cloud</category>
      <category>Google</category>
      <category>Jupyter Notebooks</category>
      <category>Large language models</category>
      <category>Cloud</category>
      <category>Machine Learning</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 14 Jul 2026 22:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/cloud-workbench-vscode-extension/?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>2026-07-14T22:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/cloud-workbench-vscode-extension/en</dc:identifier>
    </item>
    <item>
      <title>Google and Industry Partners Announce Agentic Resource Discovery Specification for AI Agents</title>
      <link>https://www.infoq.com/news/2026/07/agentic-resource-discovery-spec/?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/2026/07/agentic-resource-discovery-spec/en/headerimage/generatedHeaderImage-1783309687458.jpg"/&gt;&lt;p&gt;Google and industry partners announced Agentic Resource Discovery (ARD) Specification, an open standard for publishing, discovering, and verifying AI tools, APIs, and agents. ARD introduces a discovery layer built on catalogs and registries, enabling dynamic capability discovery while leveraging existing protocols such as MCP and OpenAPI for execution and emphasizing trust and interoperability.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>AI Security</category>
      <category>Cisco</category>
      <category>Google</category>
      <category>Agent2Agent</category>
      <category>Specification</category>
      <category>Microsoft</category>
      <category>AI Interpretability</category>
      <category>Platform Engineering</category>
      <category>Agents</category>
      <category>github</category>
      <category>Service Discovery</category>
      <category>AI Architecture</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Salesforce.com</category>
      <category>GoDaddy</category>
      <category>AI Coding</category>
      <category>Distributed Systems</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Tue, 14 Jul 2026 13:40:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/agentic-resource-discovery-spec/?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>2026-07-14T13:40:00Z</dc:date>
      <dc:identifier>/news/2026/07/agentic-resource-discovery-spec/en</dc:identifier>
    </item>
    <item>
      <title>Meta's Noninvasive Brain–Computer Interface Brain2Qwerty Achieves 61% Accuracy</title>
      <link>https://www.infoq.com/news/2026/07/meta-brain-interface/?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/2026/07/meta-brain-interface/en/headerimage/generatedHeaderImage-1783863685064.jpg"/&gt;&lt;p&gt;Meta recently open-sourced Brain2Qwerty v2, a noninvasive Brain–Computer Interface (BCI) that can decode sentences from thoughts using electroencephalography (EEG) or magnetoencephalography (MEG) signals from the brain. In evaluations, the system achieved a word accuracy rate 61% on average, compared to 8% for other non-invasive methods.&lt;/p&gt; &lt;i&gt;By Anthony Alford&lt;/i&gt;</description>
      <category>Deep Learning</category>
      <category>Neural Networks</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 14 Jul 2026 13:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/meta-brain-interface/?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>Anthony Alford</dc:creator>
      <dc:date>2026-07-14T13:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/meta-brain-interface/en</dc:identifier>
    </item>
    <item>
      <title>Google's Genkit Ships Agents API with Detached Turns and Human-in-the-Loop for TypeScript and Go</title>
      <link>https://www.infoq.com/news/2026/07/genkit-agents-api-preview/?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/2026/07/genkit-agents-api-preview/en/headerimage/generatedHeaderImage-1783618516951.jpg"/&gt;&lt;p&gt;Google released the Genkit Agents API in preview for TypeScript and Go. The open-source framework packages message history, tool loops, streaming, and state persistence behind a single chat() interface. Detached turns let agents work after clients disconnect. Interruptible tools provide human-in-the-loop control with anti-forgery validation on resume.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Google Cloud</category>
      <category>AI Architecture</category>
      <category>Cloud</category>
      <category>Open Source Project Releases</category>
      <category>API</category>
      <category>Java</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 14 Jul 2026 10:17:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/genkit-agents-api-preview/?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>2026-07-14T10:17:00Z</dc:date>
      <dc:identifier>/news/2026/07/genkit-agents-api-preview/en</dc:identifier>
    </item>
    <item>
      <title>Evolutionary Data through Schemaboi: Achieving Forward, Backwards, and Sideways Compatibility</title>
      <link>https://www.infoq.com/news/2026/07/durable-document-schema/?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/2026/07/durable-document-schema/en/headerimage/generatedHeaderImage-1784010959321.jpg"/&gt;&lt;p&gt;Drawing from the enduring adaptability of HTML and HTTP,  Seph Gentle proposes embedding self-contained schemas directly into file headers, ensuring data remains readable without external definitions. His experimental format prioritises forward, backwards, and sideways compatibility, enabling data format evolution without central coordination or data loss&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Emerging Technologies</category>
      <category>Schema</category>
      <category>Data</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 14 Jul 2026 08:08:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/durable-document-schema/?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>2026-07-14T08:08:00Z</dc:date>
      <dc:identifier>/news/2026/07/durable-document-schema/en</dc:identifier>
    </item>
    <item>
      <title>The Path to Sovereign Data: Challenges and Priorities in Local-First Computing</title>
      <link>https://www.infoq.com/news/2026/07/data-ownership-localfirst/?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/2026/07/data-ownership-localfirst/en/headerimage/generatedHeaderImage-1783923656378.jpg"/&gt;&lt;p&gt;A panel on data ownership challenged the definition of "ownership," arguing it must extend beyond simple account control to include structural independence, interoperability, and community governance. Speakers like Zenna Fiscella, Paul Frazee, Boris Mann, and Robin Berjon emphasised the need for shared standards, unbundled platforms, and better tools to support user sovereignty.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Sovereignty</category>
      <category>Data Governance</category>
      <category>Distributed Data</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 13 Jul 2026 14:14:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/data-ownership-localfirst/?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>2026-07-13T14:14:00Z</dc:date>
      <dc:identifier>/news/2026/07/data-ownership-localfirst/en</dc:identifier>
    </item>
    <item>
      <title>How DoorDash Built an AI Shopping Assistant That Doesn’t Rely on the LLM Alone</title>
      <link>https://www.infoq.com/news/2026/07/doordash-ai-ask-assistant/?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/2026/07/doordash-ai-ask-assistant/en/headerimage/generatedHeaderImage-1782515732223.jpg"/&gt;&lt;p&gt;DoorDash details the architecture behind Ask DoorDash, its AI-powered conversational shopping assistant, combining LLMs, specialized AI agents, MCP-based tooling, and an intelligence layer with persistent consumer memory and live backend data. Early results show up to 24% higher checkout conversion, 17% larger baskets, and improved intent accuracy using memory-backed sessions.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>ChatBots</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Memory</category>
      <category>Retrieval-Augmented Generation</category>
      <category>Large language models</category>
      <category>Natural Language Processing</category>
      <category>Distributed Systems</category>
      <category>Microservices</category>
      <category>Prompt Engineering</category>
      <category>Platform Engineering</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 13 Jul 2026 14:08:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/doordash-ai-ask-assistant/?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>2026-07-13T14:08:00Z</dc:date>
      <dc:identifier>/news/2026/07/doordash-ai-ask-assistant/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Introduces Temporary Accounts for Autonomous Worker Deployment</title>
      <link>https://www.infoq.com/news/2026/07/cloudflare-temp-accounts/?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/2026/07/cloudflare-temp-accounts/en/headerimage/generatedHeaderImage-1782506205282.jpg"/&gt;&lt;p&gt;Cloudflare has recently introduced temporary accounts that let AI agents deploy Cloudflare Workers immediately, without first creating or authenticating with a permanent account. If left unclaimed, the accounts and their deployments expire automatically after 60 minutes.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Cloud Computing</category>
      <category>AIOps</category>
      <category>Cloudflare</category>
      <category>Cloud</category>
      <category>Serverless</category>
      <category>Authentication</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 10 Jul 2026 15:16:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/cloudflare-temp-accounts/?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>2026-07-10T15:16:00Z</dc:date>
      <dc:identifier>/news/2026/07/cloudflare-temp-accounts/en</dc:identifier>
    </item>
  </channel>
</rss>
