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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>Presentation: From OTEL to SLMs: Distilling Frontier Model Behaviour from Production Telemetry</title>
      <link>https://www.infoq.com/presentations/otel-slm-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/presentations/otel-slm-ai/en/mediumimage/benomahony-medium-1783500827260.jpeg"/&gt;&lt;p&gt;Ben O'Mahony discusses building custom AI-powered Language Server Protocols (LSPs) that go beyond standard rule-based checkers. He explains how to instrument AI agents natively with OpenTelemetry to track concrete user actions (accepting, dismissing, or regenerating code fixes) as implicit labels, creating a continuous data flywheel to distill frontier capabilities into cheaper, local SLMs.&lt;/p&gt; &lt;i&gt;By Ben O'Mahony&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Telemetry</category>
      <category>QCon AI 2025</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Fri, 17 Jul 2026 13:17:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/otel-slm-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Ben O'Mahony</dc:creator>
      <dc:date>2026-07-17T13:17:00Z</dc:date>
      <dc:identifier>/presentations/otel-slm-ai/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=global</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=global</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>How Uber Builds Zone-Failure-Resilient OpenSearch Clusters</title>
      <link>https://www.infoq.com/news/2026/07/uber-opensearch-zone-failure/?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/uber-opensearch-zone-failure/en/headerimage/generatedHeaderImage-1784274349171.jpg"/&gt;&lt;p&gt;Uber explained how it keeps its OpenSearch deployments running during a zone outage. It does this by using OpenSearch's built-in shard allocation and its own isolation-group system, which relies on the Odin container orchestration platform. This way, it maintains both query and ingestion capabilities.&lt;/p&gt; &lt;i&gt;By Claudio Masolo&lt;/i&gt;</description>
      <category>Uber</category>
      <category>OpenSearch</category>
      <category>Architecture</category>
      <category>Reliability</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 17 Jul 2026 10:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/uber-opensearch-zone-failure/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Claudio Masolo</dc:creator>
      <dc:date>2026-07-17T10:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/uber-opensearch-zone-failure/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=global</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=global</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>AWS Continuum to Enable Agentic Code Security for Enterprises</title>
      <link>https://www.infoq.com/news/2026/07/aws-continuum-code-security/?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/aws-continuum-code-security/en/headerimage/generatedHeaderImage-1784225072280.jpg"/&gt;&lt;p&gt;Amazon Web Services has recently introduced AWS Continuum, a new integrated security platform to automate the discovery, enforcement, and remediation of security issues across codebases, dependencies, and applications. AWS Continuum launches with four agentic capabilities, aiming at the entire vulnerability lifecycle: penetration testing, code review, threat modelling, and code vulnerabilities.&lt;/p&gt; &lt;i&gt;By Gianmarco Nalin&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Cloud</category>
      <category>Cloud Security</category>
      <category>AWS</category>
      <category>Enterprise</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Thu, 16 Jul 2026 19:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/aws-continuum-code-security/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Gianmarco Nalin</dc:creator>
      <dc:date>2026-07-16T19:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/aws-continuum-code-security/en</dc:identifier>
    </item>
    <item>
      <title>Developing and Deploying a Platform that the Business Understands and Developers Actually Want</title>
      <link>https://www.infoq.com/news/2026/07/platform-business-users/?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-business-users/en/headerimage/header-1783344970544.jpg"/&gt;&lt;p&gt;A lot of platform teams face a problem: they build a lot of really cool stuff, and then their developers don't use it.  Be visible to management, talk to stakeholders and listen to their problems, make your value measurable with metrics like DORA, create narratives, and show the hidden pain to make it personal: these are lessons that Lucas Hornung and Christian Matthaei presented.&lt;/p&gt; &lt;i&gt;By Ben Linders&lt;/i&gt;</description>
      <category>Communication</category>
      <category>Metrics</category>
      <category>Developer Experience</category>
      <category>Collaboration</category>
      <category>Business Value</category>
      <category>Platforms</category>
      <category>Stakeholder</category>
      <category>Platform Engineering</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Thu, 16 Jul 2026 11:09:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/platform-business-users/?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>2026-07-16T11:09:00Z</dc:date>
      <dc:identifier>/news/2026/07/platform-business-users/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: The Rust High Performance Talk You Did Not Expect</title>
      <link>https://www.infoq.com/presentations/rust-tps-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/rust-tps-service/en/mediumimage/ruth-linehan-medium-1783501117151.jpg"/&gt;&lt;p&gt;Ruth Linehan explains how migrating high-performance caching services from Kotlin to Rust shattered internal preconceptions around delivery velocity and engineering overhead. She discusses the ergonomics of the Rust borrow checker, shares how compile-time safety shortens the developer feedback loop, and profiles how tools like Criterion and flamegraphs optimize concurrent code paths.&lt;/p&gt; &lt;i&gt;By Ruth Linehan&lt;/i&gt;</description>
      <category>QCon San Francisco 2025</category>
      <category>Performance</category>
      <category>Rust</category>
      <category>Platform Engineering</category>
      <category>Transcripts</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Thu, 16 Jul 2026 10:20:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/rust-tps-service/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Ruth Linehan</dc:creator>
      <dc:date>2026-07-16T10:20:00Z</dc:date>
      <dc:identifier>/presentations/rust-tps-service/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=global</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=global</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=global</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>Web Browser</category>
      <category>ChatGPT</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=global</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>Presentation: Postgres for Production Agents: Your Relational Foundation for Enterprise AI</title>
      <link>https://www.infoq.com/presentations/postgres-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/postgres-ai-agents/en/mediumimage/gwen-shapira-medium-1783500671134.jpeg"/&gt;&lt;p&gt;Gwen Shapira shares how teams are scaling AI features using PostgreSQL for mission-critical apps. She explains how to leverage Postgres's multi-modal capabilities - including JSONB parsing and high-recall HNSW vector indexing - to deliver deterministic and semantic context to LLMs. She also discusses vector quantization to speed up queries by 4x and strategies for managing agentic memory.&lt;/p&gt; &lt;i&gt;By Gwen Shapira&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>Postgres</category>
      <category>QCon AI 2025</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Wed, 15 Jul 2026 12:57:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/postgres-ai-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Gwen Shapira</dc:creator>
      <dc:date>2026-07-15T12:57:00Z</dc:date>
      <dc:identifier>/presentations/postgres-ai-agents/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=global</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=global</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=global</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=global</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=global</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>Agent2Agent</category>
      <category>Google</category>
      <category>Specification</category>
      <category>Microsoft</category>
      <category>AI Interpretability</category>
      <category>Platform Engineering</category>
      <category>Agents</category>
      <category>github</category>
      <category>AI Architecture</category>
      <category>Service Discovery</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=global</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=global</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=global</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>Presentation: Lessons Learned in Migrating to Micro-Frontends</title>
      <link>https://www.infoq.com/presentations/migration-micro-frontend/?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/migration-micro-frontend/en/mediumimage/luca-mezzalira-medium-1783500980769.jpeg"/&gt;&lt;p&gt;Luca Mezzalira shares proven learnings from guiding hundreds of teams through the migration from monolithic web applications to distributed frontend architectures. He explains the core architectural difference between components and micro-frontends, outlines a 6-step decision framework spanning client vs. server rendering, and discusses how to utilize edge compute for safe, iterative rollouts.&lt;/p&gt; &lt;i&gt;By Luca Mezzalira&lt;/i&gt;</description>
      <category>QCon San Francisco 2025</category>
      <category>Micro Frontends</category>
      <category>migration</category>
      <category>Web Development</category>
      <category>Transcripts</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Tue, 14 Jul 2026 12:42:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/migration-micro-frontend/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Luca Mezzalira</dc:creator>
      <dc:date>2026-07-14T12:42:00Z</dc:date>
      <dc:identifier>/presentations/migration-micro-frontend/en</dc:identifier>
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