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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>AI Root Cause Analysis Shifts from Model Reasoning to Context Engineering</title>
      <link>https://www.infoq.com/news/2026/07/ai-rca-context-engineering/?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/2026/07/ai-rca-context-engineering/en/headerimage/header-1784749972581.jpeg"/&gt;&lt;p&gt;Engineers are increasingly arguing that modern LLMs can already reason through root cause analysis once given correctly prepared context, shifting the hard problem to the pipelines that correlate telemetry. A Coroot experiment across eleven models offers early evidence for the claim.&lt;/p&gt; &lt;i&gt;By Mark Silvester&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>AIOps</category>
      <category>Observability</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Sat, 25 Jul 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/ai-rca-context-engineering/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Mark Silvester</dc:creator>
      <dc:date>2026-07-25T09:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/ai-rca-context-engineering/en</dc:identifier>
    </item>
    <item>
      <title>How Zalando Built an In-Process Client-Side Load Balancer for One Million Requests per Second</title>
      <link>https://www.infoq.com/news/2026/07/client-side-load-balancer/?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/2026/07/client-side-load-balancer/en/headerimage/generatedHeaderImage-1783270035162.jpg"/&gt;&lt;p&gt;The engineering team at Zalando recently described the design and implementation of an in-process, client-side load balancer for a high-throughput API handling around 1 million requests per second. The result was more predictable latency, a drop in infrastructure costs, and better visibility into where failures actually originate.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>AWS</category>
      <category>Load Balancing</category>
      <category>Load Balancers</category>
      <category>Kubernetes</category>
      <category>Performance &amp; Scalability</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sat, 25 Jul 2026 06:43:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/client-side-load-balancer/?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>2026-07-25T06:43:00Z</dc:date>
      <dc:identifier>/news/2026/07/client-side-load-balancer/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Autonomous Data Products for the Autonomous Era: Rethinking Data Architecture for GenAI</title>
      <link>https://www.infoq.com/presentations/ai-framework-data-infrastructure/?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/ai-framework-data-infrastructure/en/mediumimage/medium-1784107102579.jpeg"/&gt;&lt;p&gt;Jörg Schad explains how to tame the complex "data management hairball" to build scalable, safe architectures for AI. He shares how autonomous data products act like containers for data, encapsulating pipelines, schemas, and metadata. Discover how progressive tool discovery via protocols like MCP limits context rot, enforces governance policies, and ensures reliable, multi-modal access.&lt;/p&gt; &lt;i&gt;By Jörg Schad&lt;/i&gt;</description>
      <category>Data</category>
      <category>Infrastructure</category>
      <category>QCon AI 2025</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Fri, 24 Jul 2026 13:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-framework-data-infrastructure/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Jörg Schad</dc:creator>
      <dc:date>2026-07-24T13:30:00Z</dc:date>
      <dc:identifier>/presentations/ai-framework-data-infrastructure/en</dc:identifier>
    </item>
    <item>
      <title>Airbus Makes Protection from Extraterritorial Law a Scored Criterion in Its Cloud Tender</title>
      <link>https://www.infoq.com/news/2026/07/airbus-scaleway-sovereign-cloud/?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/2026/07/airbus-scaleway-sovereign-cloud/en/headerimage/generatedHeaderImage-1784717127691.jpg"/&gt;&lt;p&gt;Airbus selected Scaleway as its sovereign cloud provider after a tender that scored protection against non-European extraterritorial legislation alongside technical capability. Airbus frames it as complementing multi-cloud, not exiting AWS. Practitioners note the pattern is spreading past hyperscalers to small US SaaS vendors, and that sovereignty claims still require verifiable controls.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Compliance</category>
      <category>Sovereignty</category>
      <category>Cloud</category>
      <category>Cloud Architecture</category>
      <category>Enterprise Architecture</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Fri, 24 Jul 2026 10:42:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/airbus-scaleway-sovereign-cloud/?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>2026-07-24T10:42:00Z</dc:date>
      <dc:identifier>/news/2026/07/airbus-scaleway-sovereign-cloud/en</dc:identifier>
    </item>
    <item>
      <title>Article: The Self-Building Agent: A LangChain4j Experiment</title>
      <link>https://www.infoq.com/articles/self-building-agent-langchain4j/?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/self-building-agent-langchain4j/en/headerimage/the-self-building-agent-a-langChain4j-experiment-header-1784637877074.jpg"/&gt;&lt;p&gt;The article discusses an experiment where a code assistant had to design an agentic system using LangChain4j documentation. The assistant created a coding framework capable of writing, testing, and debugging code autonomously. Results showed that two architectural patterns—supervisor and workflow—offered different trade-offs between flexibility and execution speed during debugging tasks.&lt;/p&gt; &lt;i&gt;By Kevin Dubois, Mario Fusco&lt;/i&gt;</description>
      <category>Java</category>
      <category>Large language models</category>
      <category>LangChain4j</category>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Fri, 24 Jul 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/self-building-agent-langchain4j/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Kevin Dubois, Mario Fusco</dc:creator>
      <dc:date>2026-07-24T09:00:00Z</dc:date>
      <dc:identifier>/articles/self-building-agent-langchain4j/en</dc:identifier>
    </item>
    <item>
      <title>Jotai v2.20: Rework Store Building Blocks for High-Throughput Performance and Sets the Stage for v3</title>
      <link>https://www.infoq.com/news/2026/07/jotai-rework-performance/?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/2026/07/jotai-rework-performance/en/headerimage/generatedHeaderImage-1784795525005.jpg"/&gt;&lt;p&gt;Jotai v2.20.0 has been released, focusing on improved performance for high-throughput scenarios. Key changes involve adjustments to internal building blocks and addressing previous performance regressions. While the API for everyday use remains unchanged, library authors should note some deprecations as the groundwork for Jotai v3 begins.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>JavaScript</category>
      <category>Web Development</category>
      <category>TypeScript</category>
      <category>React</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 24 Jul 2026 06:26:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/jotai-rework-performance/?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>2026-07-24T06:26:00Z</dc:date>
      <dc:identifier>/news/2026/07/jotai-rework-performance/en</dc:identifier>
    </item>
    <item>
      <title>Indirect Prompt Injection Exploits GitHub's AI Agent to Leak Private Repository Data</title>
      <link>https://www.infoq.com/news/2026/07/gitlost-github-prompt-injection/?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/2026/07/gitlost-github-prompt-injection/en/headerimage/gitlost-vulnerability-1784835323320.jpeg"/&gt;&lt;p&gt;GitLost is a prompt-injection exploit discovered by Noma Security that tricks GitHub's new Agentic Workflows into leaking private data. By embedding concealed instructions within public GitHub issues, attackers can circumvent security safeguards and induce AI agents to reveal confidential information in public comments.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>Agents</category>
      <category>github</category>
      <category>Security Vulnerabilities</category>
      <category>Prompt Engineering</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Thu, 23 Jul 2026 20:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/gitlost-github-prompt-injection/?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>2026-07-23T20:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/gitlost-github-prompt-injection/en</dc:identifier>
    </item>
    <item>
      <title>Expedia Uses AI-Driven Service Telemetry Analyzer to Accelerate Incident Investigation</title>
      <link>https://www.infoq.com/news/2026/07/expedia-ai-observability-star/?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/2026/07/expedia-ai-observability-star/en/headerimage/generatedHeaderImage-1783819381373.jpg"/&gt;&lt;p&gt;Expedia Group has introduced STAR, an internal AI-assisted observability platform that helps engineers investigate production incidents using service telemetry and LLMs. Built with FastAPI, Datadog, Celery, Redis, and Langfuse, STAR follows structured workflows to analyze telemetry, generate root cause assessments, and support incident response while keeping engineers in the loop.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Redis</category>
      <category>OpenTelemetry</category>
      <category>AI Assisted Coding</category>
      <category>Site Reliability Engineering</category>
      <category>Kubernetes</category>
      <category>Prompt Engineering</category>
      <category>API</category>
      <category>HTTP</category>
      <category>Monitoring</category>
      <category>gRPC</category>
      <category>GraphQL</category>
      <category>Observability</category>
      <category>Platform Engineering</category>
      <category>Incident Response</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Thu, 23 Jul 2026 14:15:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/expedia-ai-observability-star/?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>2026-07-23T14:15:00Z</dc:date>
      <dc:identifier>/news/2026/07/expedia-ai-observability-star/en</dc:identifier>
    </item>
    <item>
      <title>Achieving Compliance as a Platform Engineering Team by Helping Developers</title>
      <link>https://www.infoq.com/news/2026/07/platform-that-helps-developers/?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/2026/07/platform-that-helps-developers/en/headerimage/header-1784099869567.jpg"/&gt;&lt;p&gt;When a new platform team set out to implement their roadmap through forced workflows with poor documentation, developer experience declined. Success came from simplifying governance, prioritizing what mattered, and rolling out compliance incrementally through prevention, detection, and communication. Empathy, focus, and shared purpose drove successful adoption.&lt;/p&gt; &lt;i&gt;By Ben Linders&lt;/i&gt;</description>
      <category>AWS</category>
      <category>InfoQ Dev Summit Munich 2025</category>
      <category>Collaboration</category>
      <category>Governance</category>
      <category>Communication</category>
      <category>Developer Experience</category>
      <category>Platforms</category>
      <category>Change</category>
      <category>InfoQ Dev Summit</category>
      <category>Roadmap</category>
      <category>Platform Engineering</category>
      <category>Development</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Thu, 23 Jul 2026 11:42:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/platform-that-helps-developers/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Ben Linders</dc:creator>
      <dc:date>2026-07-23T11:42:00Z</dc:date>
      <dc:identifier>/news/2026/07/platform-that-helps-developers/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Compiling Workflows into Databases: The Architecture That Shouldn't Work (But Does)</title>
      <link>https://www.infoq.com/presentations/dbos/?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/dbos/en/mediumimage/medium-1784107354116.jpg"/&gt;&lt;p&gt;Jeremy Edberg &amp; Qian Li discuss why external orchestrators decrease reliability and how to use your existing database for durable execution. They share how DBOS Transact uses standard tables, SKIP LOCKED queues, and unique primary keys to manage complex, fault-tolerant AI workflows with minimal latency, all without the operational overhead of separate distributed systems.&lt;/p&gt; &lt;i&gt;By Jeremy Edberg, Qian Li&lt;/i&gt;</description>
      <category>Workflow / BPM</category>
      <category>Resilience</category>
      <category>Database</category>
      <category>QCon San Francisco 2025</category>
      <category>Transcripts</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Thu, 23 Jul 2026 10:26:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/dbos/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Jeremy Edberg, Qian Li</dc:creator>
      <dc:date>2026-07-23T10:26:00Z</dc:date>
      <dc:identifier>/presentations/dbos/en</dc:identifier>
    </item>
    <item>
      <title>QCon AI New York 2026: Registration Opens for December 15-16 Production-AI Conference</title>
      <link>https://www.infoq.com/news/2026/07/qcon-ai-newyork-2026-live/?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/2026/07/qcon-ai-newyork-2026-live/en/headerimage/qcon-ai-newyork-2026-live-1784537918040.jpg"/&gt;&lt;p&gt;QCon AI New York 2026 (Dec 15-16) has opened registration at The Westin Jersey City Newport. Six tracks on production AI, chaired by Eder Ignatowicz with Faye Zhang and Wes Reisz. First sessions announced in August, full program by November.&lt;/p&gt; &lt;i&gt;By Artenisa Chatziou&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Model Context Protocol (MCP)</category>
      <category>AI Security</category>
      <category>QCon AI New York 2026</category>
      <category>QCon Software Development Conference</category>
      <category>Zero Trust</category>
      <category>Observability</category>
      <category>Platform Engineering</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Thu, 23 Jul 2026 10:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/qcon-ai-newyork-2026-live/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Artenisa Chatziou</dc:creator>
      <dc:date>2026-07-23T10:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/qcon-ai-newyork-2026-live/en</dc:identifier>
    </item>
    <item>
      <title>Ink &amp; Switch Introduces Bijou64: Canonical Variable-Length Integer Encoding for Safe Parsing</title>
      <link>https://www.infoq.com/news/2026/07/bijou64-canonical-varint/?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/2026/07/bijou64-canonical-varint/en/headerimage/generatedHeaderImage-1784638187891.jpg"/&gt;&lt;p&gt;Ink &amp; Switch published bijou64, a variable-length integer encoding where every number has exactly one byte representation, closing the canonicality bug class behind attacks on PKCS#1, JWT libraries, and Bitcoin. The design also decodes two to ten times faster than LEB128. Community ports to Elixir, Go, Perl, and Java followed, while HN commenters debated SIMD performance and residual range checks.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Algorithms</category>
      <category>Application Security</category>
      <category>serialization</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 23 Jul 2026 09:43:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/bijou64-canonical-varint/?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>2026-07-23T09:43:00Z</dc:date>
      <dc:identifier>/news/2026/07/bijou64-canonical-varint/en</dc:identifier>
    </item>
    <item>
      <title>Article: Multi-Agent AI for Production Security Operations: An A2A and MCP Architecture in a 5G Core</title>
      <link>https://www.infoq.com/articles/multi-agent-security-operations/?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/multi-agent-security-operations/en/headerimage/Multi-Agent-AI-for-Production-Security-Operations-header-image-1784628074663.jpg"/&gt;&lt;p&gt;The bottleneck in a mature SOC is rarely analyst triage; rather, it is the detection-engineering team's ability to keep the rule base aligned with a threat landscape that evolves faster than rules can be written. Learn how  multi-agent system for production security operations has reduced mean times to detect and to respond by 40% and compressed the human work required by 12x.&lt;/p&gt; &lt;i&gt;By Willem Berroubache&lt;/i&gt;</description>
      <category>Threat detection</category>
      <category>Agent2Agent</category>
      <category>Security Assessment</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Thu, 23 Jul 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/multi-agent-security-operations/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Willem Berroubache</dc:creator>
      <dc:date>2026-07-23T09:00:00Z</dc:date>
      <dc:identifier>/articles/multi-agent-security-operations/en</dc:identifier>
    </item>
    <item>
      <title>Meta Ports React Compiler to Rust for Faster Builds and Tighter Toolchain Integration</title>
      <link>https://www.infoq.com/news/2026/07/meta-react-compiler-rust/?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/2026/07/meta-react-compiler-rust/en/headerimage/generatedHeaderImage-1784621337399.jpg"/&gt;&lt;p&gt;Meta's React library has integrated a Rust version of the React Compiler into its main repository, aimed at enhancing build speed and compatibility with the Rust-based JavaScript toolchain. This port, which memoizes components automatically, demonstrates significant performance improvements, boasting up to 50% faster compilation. The public API remains unchanged to facilitate easy upgrades.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Compilers</category>
      <category>Web Development</category>
      <category>TypeScript</category>
      <category>React</category>
      <category>Rust</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 23 Jul 2026 06:07:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/meta-react-compiler-rust/?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>2026-07-23T06:07:00Z</dc:date>
      <dc:identifier>/news/2026/07/meta-react-compiler-rust/en</dc:identifier>
    </item>
    <item>
      <title>GitHub Increased Instant Navigation from 4% to 22% by Rethinking Client Side Architecture</title>
      <link>https://www.infoq.com/news/2026/07/github-issues-navigation/?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/2026/07/github-issues-navigation/en/headerimage/generatedHeaderImage-1783811772898.jpg"/&gt;&lt;p&gt;GitHub redesigned GitHub Issues navigation using a client-side architecture that combines caching, predictive prefetching, and service workers to reduce perceived latency. The approach uses IndexedDB, in-memory caching, and background synchronization to serve data faster. GitHub reported instant navigation improvements from 4% to 22%, with latency reductions across multiple navigation paths.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Low Latency</category>
      <category>Web Browser</category>
      <category>Architecture</category>
      <category>Front-end</category>
      <category>Caching</category>
      <category>github</category>
      <category>IndexedDB</category>
      <category>navigation</category>
      <category>Scalability</category>
      <category>Performance</category>
      <category>Optimization</category>
      <category>React</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 22 Jul 2026 14:09:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/github-issues-navigation/?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>2026-07-22T14:09:00Z</dc:date>
      <dc:identifier>/news/2026/07/github-issues-navigation/en</dc:identifier>
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