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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>Lucide Releases Version 1.0, Removing Brand Icons and Cutting Bundle Size for Millions of Projects</title>
      <link>https://www.infoq.com/news/2026/06/lucide-v1-icons/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/lucide-v1-icons/en/headerimage/generatedHeaderImage-1782203932198.jpg"/&gt;&lt;p&gt;Lucide has released version 1.0 of its open-source icon toolkit, marking its first stable major release. The update features over 1,600 icons and removes trademarked brand icons due to legal and design concerns. Significant performance improvements have also been made, reducing package size and adding context providers for various frameworks. Users upgrading should be aware of breaking changes.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 23 Jun 2026 13:28:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/lucide-v1-icons/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Daniel Curtis</dc:creator>
      <dc:date>2026-06-23T13:28:00Z</dc:date>
      <dc:identifier>/news/2026/06/lucide-v1-icons/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: The Time It Wasn't DNS</title>
      <link>https://www.infoq.com/presentations/incident-dns/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/presentations/incident-dns/en/mediumimage/sean-klein-medium-1781687984845.jpeg"/&gt;&lt;p&gt;Sean Klein discusses why "human error" is a dangerous myth in complex systems. Sharing the inside story of Azure’s 2023 global WAN outage, he explains how modern incident analysis looks past the "Five Whys" to uncover systemic issues. Learn how engineering leaders can move away from blame, improve Standard Operating Procedures, and design resilient systems that actively protect their engineers.&lt;/p&gt; &lt;i&gt;By Sean Klein&lt;/i&gt;</description>
      <category>Transcripts</category>
      <category>Incident Response</category>
      <category>QCon San Francisco 2025</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Tue, 23 Jun 2026 13:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/incident-dns/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sean Klein</dc:creator>
      <dc:date>2026-06-23T13:05:00Z</dc:date>
      <dc:identifier>/presentations/incident-dns/en</dc:identifier>
    </item>
    <item>
      <title>Microsoft Expands Azure Kubernetes Service with Bare Metal, Fleet Management and AI Infrastructure</title>
      <link>https://www.infoq.com/news/2026/06/microsoft-build-aks-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/microsoft-build-aks-ai/en/headerimage/generatedHeaderImage-1782126504672.jpg"/&gt;&lt;p&gt;At this year's Microsoft Build 2026, Microsoft unveiled a broad set of enhancements to Azure Kubernetes Service (AKS) aimed at making Kubernetes a first-class platform for AI training, inference, and large-scale cloud-native applications.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Kubernetes</category>
      <category>Microsoft</category>
      <category>Microsoft Azure</category>
      <category>Azure</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 23 Jun 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/microsoft-build-aks-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Craig Risi</dc:creator>
      <dc:date>2026-06-23T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/microsoft-build-aks-ai/en</dc:identifier>
    </item>
    <item>
      <title>AWS Launches Blocks, an Open-Source TypeScript Framework Designed for AI Agents to Build Backends</title>
      <link>https://www.infoq.com/news/2026/06/aws-blocks-framework-preview/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/aws-blocks-framework-preview/en/headerimage/generatedHeaderImage-1782118076693.jpg"/&gt;&lt;p&gt;AWS released Blocks in public preview, an open-source TypeScript framework where each Block bundles application code, local mocks, and AWS infrastructure. Designed for AI agents to write correct backends from the start, it runs locally without an AWS account and deploys the same code to Lambda, DynamoDB, Aurora, and Bedrock with zero changes.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>AI Architecture</category>
      <category>Infrastructure as Code</category>
      <category>Amazon Web Services</category>
      <category>AWS</category>
      <category>Open Source Project Releases</category>
      <category>Cloud</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 23 Jun 2026 09:15:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/aws-blocks-framework-preview/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-06-23T09:15:00Z</dc:date>
      <dc:identifier>/news/2026/06/aws-blocks-framework-preview/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Challenging Google Analytics: Building a Scalable, Cost-Effective User Tracking Service</title>
      <link>https://www.infoq.com/presentations/mobile-user-tracking-service/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/presentations/mobile-user-tracking-service/en/mediumimage/alina-krasavina-medium-1781688348523.jpg"/&gt;&lt;p&gt;Alina Krasavina explains how Delivery Hero successfully deprecated Google Analytics and migrated to an internal user tracking platform. She discusses how a simplistic, highly scalable architecture allowed them to handle 10 times more load while capturing 97% of tracking data.&lt;/p&gt; &lt;i&gt;By Alina Krasavina&lt;/i&gt;</description>
      <category>Mobile</category>
      <category>Data Analytics</category>
      <category>Transcripts</category>
      <category>Cross Platform</category>
      <category>InfoQ Dev Summit Munich 2025</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Mon, 22 Jun 2026 15:07:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/mobile-user-tracking-service/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Alina Krasavina</dc:creator>
      <dc:date>2026-06-22T15:07:00Z</dc:date>
      <dc:identifier>/presentations/mobile-user-tracking-service/en</dc:identifier>
    </item>
    <item>
      <title>Java News Roundup: Spring Tools, Helidon, Open Liberty, TomEE, JobRunr, Hibernate, Commonhaus</title>
      <link>https://www.infoq.com/news/2026/06/java-news-roundup-jun15-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/java-news-roundup-jun15-2026/en/headerimage/java-news-roundup-image-1782133635464.jpg"/&gt;&lt;p&gt;This week's Java roundup for June 15th, 2026, features news highlighting: point releases of Spring Tools, Helidon, JobRunr and Gradle; the June 2026 edition of Open Liberty; the first milestone release of Apache TomEE 11.0; the first beta release of Hibernate ORM 8.0; Quarkus emergency maintenance releases to address CVE-2026-50559; and four open-source projects join the Commonhaus Foundation.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>Gradle</category>
      <category>JDK 27</category>
      <category>Commonhaus Foundation</category>
      <category>Quarkus</category>
      <category>Java</category>
      <category>JobRunr</category>
      <category>Spring Framework</category>
      <category>Helidon</category>
      <category>Open JDK</category>
      <category>Hibernate ORM</category>
      <category>Apache TomEE</category>
      <category>JDK 28</category>
      <category>Open Liberty</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 22 Jun 2026 13:15:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/java-news-roundup-jun15-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Michael Redlich</dc:creator>
      <dc:date>2026-06-22T13:15:00Z</dc:date>
      <dc:identifier>/news/2026/06/java-news-roundup-jun15-2026/en</dc:identifier>
    </item>
    <item>
      <title>Article: Understanding ML Model Poisoning: How It Happens and How to Detect It</title>
      <link>https://www.infoq.com/articles/understanding-ml-model-poisoning/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/articles/understanding-ml-model-poisoning/en/headerimage/header-understanding-ml-model-poisoning-1781597719189.jpg"/&gt;&lt;p&gt;In this article, the author explores data poisoning as a threat to machine learning systems, covering techniques such as label flipping, backdoors, clean-label poisoning, and gradient manipulation. The article reviews real-world incidents, discusses the challenges of detecting poisoned data, and presents practical defenses, tools, and operational practices for securing ML training pipelines.&lt;/p&gt; &lt;i&gt;By Igor Maljkovic&lt;/i&gt;</description>
      <category>AI Security</category>
      <category>Adversarial Machine Learning</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Mon, 22 Jun 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/understanding-ml-model-poisoning/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Igor Maljkovic</dc:creator>
      <dc:date>2026-06-22T11:00:00Z</dc:date>
      <dc:identifier>/articles/understanding-ml-model-poisoning/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: How eBPF Empowers Developers to Observe Inside the Linux Kernel in a Safe and Unintrusive Way</title>
      <link>https://www.infoq.com/podcasts/empowers-developers-inside-linux-kernel/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/podcasts/empowers-developers-inside-linux-kernel/en/smallimage/the-infoq-podcast-logo-thumbnail-1781614035659.jpg"/&gt;&lt;p&gt;Dan Fineran explores how eBPF has evolved far beyond its roots in packet filtering into a robust, safe way to extend the Linux kernel. He explains how the eBPF "verifier", the security guardrail, enables implementation of deep observability and networking without the risks of traditional kernel modules or the slow upstreaming process.&lt;/p&gt; &lt;i&gt;By Dan Fineran&lt;/i&gt;</description>
      <category>The InfoQ Podcast</category>
      <category>Security</category>
      <category>Observability</category>
      <category>Linux</category>
      <category>eBPF</category>
      <category>DevOps</category>
      <category>podcast</category>
      <pubDate>Mon, 22 Jun 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/empowers-developers-inside-linux-kernel/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Dan Fineran</dc:creator>
      <dc:date>2026-06-22T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/empowers-developers-inside-linux-kernel/en</dc:identifier>
    </item>
    <item>
      <title>AWS Graviton5 Reaches General Availability with 192 Cores and Formally Verified VM Isolation</title>
      <link>https://www.infoq.com/news/2026/06/aws-graviton5-ga/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/aws-graviton5-ga/en/headerimage/generatedHeaderImage-1781703289721.jpg"/&gt;&lt;p&gt;AWS made Graviton5-powered EC2 M9g and M9gd instances generally available with 192 ARM cores, formally verified VM isolation via the Nitro Isolation Engine, and DDR5-8800 memory. ClickHouse reported 36% better performance with zero code changes. Meta committed tens of millions of cores. On-demand pricing is 9% above Graviton4, translating to roughly 15% better price-performance.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>AI Architecture</category>
      <category>AWS</category>
      <category>IaaS</category>
      <category>Cloud Architecture</category>
      <category>Containers</category>
      <category>Cloud</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Mon, 22 Jun 2026 10:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/aws-graviton5-ga/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-06-22T10:05:00Z</dc:date>
      <dc:identifier>/news/2026/06/aws-graviton5-ga/en</dc:identifier>
    </item>
    <item>
      <title>Anthropic Reports Claude Now Handles 95% of Internal Analytics Queries</title>
      <link>https://www.infoq.com/news/2026/06/anthropic-claude-analytics/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/anthropic-claude-analytics/en/headerimage/generatedHeaderImage-1781542483302.jpg"/&gt;&lt;p&gt;Anthropic recently reported that Claude now handles around 95% of its internal analytics requests, letting employees query business data independently instead of relying on data teams. The company attributes this result less to advances in models and more to data governance, semantic definitions, and operational discipline.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Business Analytics</category>
      <category>Data Analytics</category>
      <category>Data Governance</category>
      <category>Claude</category>
      <category>Anthropic</category>
      <category>Data Lake</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Sun, 21 Jun 2026 16:47:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/anthropic-claude-analytics/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-06-21T16:47:00Z</dc:date>
      <dc:identifier>/news/2026/06/anthropic-claude-analytics/en</dc:identifier>
    </item>
    <item>
      <title>Inside Atlassian’s Forge Billing Architecture for Distributed Usage Tracking at Scale</title>
      <link>https://www.infoq.com/news/2026/06/forge-billing-usage-platform/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/forge-billing-usage-platform/en/headerimage/generatedHeaderImage-1780198060365.jpg"/&gt;&lt;p&gt;Atlassian details the Forge billing platform built for usage-based pricing across its cloud ecosystem. It processes large-scale usage events with correct attribution, deduplication, and aggregation using a streaming pipeline, idempotent processing, and layered storage to enable accurate billing, near real-time visibility, and reliable reconciliation across distributed services.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Atlassian</category>
      <category>Event Stream Processing</category>
      <category>Jira</category>
      <category>Event Driven Architecture</category>
      <category>Streaming</category>
      <category>FinOps</category>
      <category>Multi-tenancy</category>
      <category>Observability</category>
      <category>Apache Kafka</category>
      <category>SaaS</category>
      <category>Distributed Systems</category>
      <category>Cloud Architecture</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 20 Jun 2026 14:21:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/forge-billing-usage-platform/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-06-20T14:21:00Z</dc:date>
      <dc:identifier>/news/2026/06/forge-billing-usage-platform/en</dc:identifier>
    </item>
    <item>
      <title>Apple Launches Core AI for Apple-Silicon Optimized On-Device Generative AI</title>
      <link>https://www.infoq.com/news/2026/06/apple-core-ai-wwdc/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/apple-core-ai-wwdc/en/headerimage/jetbrains-rustrover-ide-1781953134950.jpeg"/&gt;&lt;p&gt;At WWDC 26, Apple announced the Core AI framework, the official successor to Core ML. It is designed to allow developers to run large language models and generative AI entirely on-device, supporting both custom-converted PyTorch models and pre-optimized open-source models.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Mobile</category>
      <category>Artificial Intelligence</category>
      <category>Apple</category>
      <category>iOS</category>
      <category>visionOS</category>
      <category>MacOS</category>
      <category>Python</category>
      <category>Large language models</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Sat, 20 Jun 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/apple-core-ai-wwdc/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-06-20T11:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/apple-core-ai-wwdc/en</dc:identifier>
    </item>
    <item>
      <title>AWS Cognito Adds Multi-Region Failover for Authentication</title>
      <link>https://www.infoq.com/news/2026/06/cognito-replication-aws/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/cognito-replication-aws/en/headerimage/generatedHeaderImage-1780821804660.jpg"/&gt;&lt;p&gt;AWS recently introduced Amazon Cognito multi-region replication, which automatically replicates user identities and user pool configurations from a primary region to a secondary one. This enables applications to continue authenticating users from a replica region during outages, without requiring custom replication and failover mechanisms.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Availability</category>
      <category>Authentication</category>
      <category>AWS</category>
      <category>Cloud Security</category>
      <category>multi-region</category>
      <category>Identity Management</category>
      <category>Cloud</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 20 Jun 2026 07:40:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/cognito-replication-aws/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-06-20T07:40:00Z</dc:date>
      <dc:identifier>/news/2026/06/cognito-replication-aws/en</dc:identifier>
    </item>
    <item>
      <title>Behind the Scenes:  Block 450 JVM Repositories into Monorepo to Reduce Dependency Drift</title>
      <link>https://www.infoq.com/news/2026/06/block-450-jvm-monorepo-migration/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Block, Inc. describes migrating ~450 JVM repositories into a monorepo across Cash App and Square engineering to reduce dependency drift and coordination overhead. The system supports ~8,800 weekly builds with ~10 min p90 CI time. The approach improves cross-service changes, build visibility, and developer experience through dependency graph–based builds, selective CI, and custom IDE tooling.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>IntelliJ IDEA</category>
      <category>Continuous Integration</category>
      <category>Large Projects</category>
      <category>Platform Engineering</category>
      <category>Java</category>
      <category>Distributed Systems</category>
      <category>plugins</category>
      <category>Continuous Deployment</category>
      <category>JVM</category>
      <category>Build systems</category>
      <category>IDE</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 19 Jun 2026 14:47:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/block-450-jvm-monorepo-migration/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-06-19T14:47:00Z</dc:date>
      <dc:identifier>/news/2026/06/block-450-jvm-monorepo-migration/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: AI Agents to Make Sense of Data at OpenAI</title>
      <link>https://www.infoq.com/presentations/data-aware-ai-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/presentations/data-aware-ai-agents/en/mediumimage/bonnie-xu-medium-1781164411672.jpg"/&gt;&lt;p&gt;OpenAI’s Bonnie Xu discusses Kepler, an internal AI data analyst agent built to query 600+ petabytes of data. She explains how they overcome context window limits using MCP, automated code crawling, and RAG. Xu also shares how their team leverages scoped semantic memory for self-learning and utilizes AST-based LLM grading to build a robust, regression-free evaluation pipeline.&lt;/p&gt; &lt;i&gt;By Bonnie Xu&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>QCon AI 2025</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Fri, 19 Jun 2026 12:02:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/data-aware-ai-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Bonnie Xu</dc:creator>
      <dc:date>2026-06-19T12:02:00Z</dc:date>
      <dc:identifier>/presentations/data-aware-ai-agents/en</dc:identifier>
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