<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>InfoQ - Generative AI</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Generative AI feed</description>
    <item>
      <title>AWS Open-Sources Dogwood, Extending Cedar to Govern Sequences of Agent Tool Calls</title>
      <link>https://www.infoq.com/news/2026/08/aws-dogwood-agent-policy/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Generative+AI</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/aws-dogwood-agent-policy/en/headerimage/generatedHeaderImage-1786602838111.jpg"/&gt;&lt;p&gt;AWS has open-sourced Dogwood, a policy language extending Cedar with temporal conditions so rules can reason about an agent's prior tool calls rather than one request in isolation. It covers approvals, rate limits and running totals, ships under Apache 2.0, and is supported in AgentCore Policy, though the reference interpreter is not production-ready.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Open Source</category>
      <category>Generative AI</category>
      <category>Cloud</category>
      <category>Access Control</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>Sun, 16 Aug 2026 07:26:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/aws-dogwood-agent-policy/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Generative+AI</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-08-16T07:26:00Z</dc:date>
      <dc:identifier>/news/2026/08/aws-dogwood-agent-policy/en</dc:identifier>
    </item>
    <item>
      <title>AWS Introduces Native Vector Search for DynamoDB</title>
      <link>https://www.infoq.com/news/2026/08/aws-dynamodb-vector-search/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Generative+AI</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/aws-dynamodb-vector-search/en/headerimage/generatedHeaderImage-1786173983449.jpg"/&gt;&lt;p&gt;Amazon DynamoDB recently introduced native vector search, allowing developers to store embeddings alongside application data and run approximate nearest-neighbor queries directly from DynamoDB without using a separate vector database. The feature supports filtered similarity searches and configurable vector indexes for semantic search workloads.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Dynamo DB</category>
      <category>Generative AI</category>
      <category>Cloud</category>
      <category>NoSQL</category>
      <category>AWS</category>
      <category>vector databases</category>
      <category>Search</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sun, 16 Aug 2026 07:21:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/aws-dynamodb-vector-search/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Generative+AI</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-08-16T07:21:00Z</dc:date>
      <dc:identifier>/news/2026/08/aws-dynamodb-vector-search/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: From Models to Agents: Building Context-Aware Consumer AI at Scale at DoorDash</title>
      <link>https://www.infoq.com/presentations/ai-agentic-recommendations-semantic-ids/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Generative+AI</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-agentic-recommendations-semantic-ids/en/mediumimage/sudeep-das-medium-1785845550765.jpeg"/&gt;&lt;p&gt;Sudeep Das shares how DoorDash shifts from legacy one-shot predictions to an agentic recommendation platform. He discusses leveraging language-native consumer memory, RQ-VAE semantic IDs for catalog representation, and grounded search to dramatically boost relevance and conversion metrics.&lt;/p&gt; &lt;i&gt;By Sudeep Das&lt;/i&gt;</description>
      <category>Agents</category>
      <category>QCon AI Boston 2026</category>
      <category>AI Architecture</category>
      <category>Rankings</category>
      <category>E-Commerce</category>
      <category>Large language models</category>
      <category>Generative AI</category>
      <category>vector databases</category>
      <category>Search</category>
      <category>Machine Learning</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Sat, 15 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-agentic-recommendations-semantic-ids/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Generative+AI</guid>
      <dc:creator>Sudeep Das</dc:creator>
      <dc:date>2026-08-15T11:00:00Z</dc:date>
      <dc:identifier>/presentations/ai-agentic-recommendations-semantic-ids/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Adds Agent Tracing, with Truncation Limits and Uneven Payload Defaults</title>
      <link>https://www.infoq.com/news/2026/08/cloudflare-agent-tracing/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Generative+AI</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/cloudflare-agent-tracing/en/headerimage/generatedHeaderImage-1786103406667.jpg"/&gt;&lt;p&gt;Cloudflare launched agent tracing, adding spans for agent invocations, model calls, tool runs, and approvals to existing Workers traces. Sessions replay turn by turn, though the docs warn traces are not lossless and payloads may be truncated. Payload recording defaults differ by framework, and from October 1, 2026 every span counts as a billable event.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Agents</category>
      <category>AI Architecture</category>
      <category>OpenTelemetry</category>
      <category>Cloudflare</category>
      <category>Monitoring</category>
      <category>Generative AI</category>
      <category>Cloud</category>
      <category>Serverless</category>
      <category>Observability</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 15 Aug 2026 10:46:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/cloudflare-agent-tracing/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Generative+AI</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-08-15T10:46:00Z</dc:date>
      <dc:identifier>/news/2026/08/cloudflare-agent-tracing/en</dc:identifier>
    </item>
    <item>
      <title>LLM-Generated GraphQL Mocks Arrive at Airbnb and Expedia, While the Spec Lags behind</title>
      <link>https://www.infoq.com/news/2026/08/graphql-llm-mocking-spec/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Generative+AI</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/graphql-llm-mocking-spec/en/headerimage/generatedHeaderImage-1786102945106.jpg"/&gt;&lt;p&gt;Expedia Group has open-sourced mockql-rs, a Rust CLI that fills @mock-annotated GraphQL fields with LLM-generated data at request time. It follows Airbnb's @generateMock in April and a GraphQL Foundation RFC opened in February. All three solve the same problem with different architectures, and two use the same directive name with incompatible semantics.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Software Development</category>
      <category>Developer Experience</category>
      <category>Generative AI</category>
      <category>API</category>
      <category>GraphQL</category>
      <category>Rust</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 14 Aug 2026 10:01:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/graphql-llm-mocking-spec/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Generative+AI</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-08-14T10:01:00Z</dc:date>
      <dc:identifier>/news/2026/08/graphql-llm-mocking-spec/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=Generative+AI</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>Agents</category>
      <category>Artificial Intelligence</category>
      <category>Software Development</category>
      <category>Generative AI</category>
      <category>API</category>
      <category>Code Generation</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=Generative+AI</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>JetBrains Details its First Steps to Bring Rapidly Growing AI Spend under Control</title>
      <link>https://www.infoq.com/news/2026/08/jetbrains-ai-spend/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Generative+AI</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/jetbrains-ai-spend/en/headerimage/generatedHeaderImage-1786384052458.jpg"/&gt;&lt;p&gt;JetBrains has described how it began centralising AI usage after development-related spending increased roughly tenfold in six months. Rather than restricting engineers to a small set of approved tools, the company built a shared access and accounting layer intended to preserve tool choice while giving teams greater visibility and control over consumption.&lt;/p&gt; &lt;i&gt;By Matt Foster&lt;/i&gt;</description>
      <category>Generative AI</category>
      <category>Cost Optimization</category>
      <category>FinOps</category>
      <category>Platform Engineering</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Tue, 11 Aug 2026 07:25:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/jetbrains-ai-spend/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Generative+AI</guid>
      <dc:creator>Matt Foster</dc:creator>
      <dc:date>2026-08-11T07:25:00Z</dc:date>
      <dc:identifier>/news/2026/08/jetbrains-ai-spend/en</dc:identifier>
    </item>
    <item>
      <title>Article: Comprehension as an Architectural Characteristic: A System That Is Not Understood Cannot Evolve Safely</title>
      <link>https://www.infoq.com/articles/system-comprehension-evolutionary-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Generative+AI</link>
      <description>&lt;img src="https://res.infoq.com/articles/system-comprehension-evolutionary-architecture/en/headerimage/header-1786087830832.jpg"/&gt;&lt;p&gt;As AI commoditizes code output, system comprehension silently decays, creating cognitive debt that threatens safe architectural evolution. This article explores why human understanding must be treated as an essential architectural characteristic, offering actionable strategies, socio-technical metrics, and design checkpoints to preserve intent across modern engineering teams.&lt;/p&gt; &lt;i&gt;By Jacobus Meintjes, Narayana Rengaswamy, Paul Katsande, Sureshbabu Bikki&lt;/i&gt;</description>
      <category>Leadership</category>
      <category>Code Reviews</category>
      <category>Evolutionary Architecture</category>
      <category>InfoQ Certification Program</category>
      <category>Generative AI</category>
      <category>Architecture ICSAET</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>Culture &amp; Methods</category>
      <category>article</category>
      <pubDate>Mon, 10 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/system-comprehension-evolutionary-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Generative+AI</guid>
      <dc:creator>Jacobus Meintjes, Narayana Rengaswamy, Paul Katsande, Sureshbabu Bikki</dc:creator>
      <dc:date>2026-08-10T11:00:00Z</dc:date>
      <dc:identifier>/articles/system-comprehension-evolutionary-architecture/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=Generative+AI</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>Model Context Protocol (MCP)</category>
      <category>Generative AI</category>
      <category>Cloud</category>
      <category>Azure</category>
      <category>API Gateway</category>
      <category>Microsoft Azure</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</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=Generative+AI</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>
  </channel>
</rss>
