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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>AI-Assisted Migration Tool Helps Teams Move from ingress-nginx to Higress in Minutes</title>
      <link>https://www.infoq.com/news/2026/05/ai-nginx-higress/?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/2026/05/ai-nginx-higress/en/headerimage/generatedHeaderImage-1779528783880.jpg"/&gt;&lt;p&gt;The Cloud Native Computing Foundation has highlighted a new AI-assisted migration approach that enabled engineers to migrate 60 ingress-nginx resources to Higress in roughly 30 minutes, demonstrating how artificial intelligence is increasingly being applied to modernize Kubernetes networking and gateway infrastructure.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>migration</category>
      <category>NGINX</category>
      <category>Artificial Intelligence</category>
      <category>AI Development</category>
      <category>Infrastructure</category>
      <category>Infrastructure as Code</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 29 May 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/ai-nginx-higress/?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>2026-05-29T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/ai-nginx-higress/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Building Evals for AI Adoption: From Principles to Practice</title>
      <link>https://www.infoq.com/presentations/eval-ai-adoption/?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/eval-ai-adoption/en/mediumimage/medium-1779185675202.jpeg"/&gt;&lt;p&gt;Mallika Rao discusses the hidden risk of evaluation debt in production AI systems, drawing on her experience at Twitter, Walmart, and Netflix. She explains why traditional metrics fail modern architectures, breaks down a five-layer evaluation stack spanning infrastructure and UX, and shares a diagnostic maturity model to help engineering leaders eliminate silent semantic failures.&lt;/p&gt; &lt;i&gt;By Mallika Rao&lt;/i&gt;</description>
      <category>QCon AI 2025</category>
      <category>Large language models</category>
      <category>Artificial Intelligence</category>
      <category>Adoption</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Fri, 29 May 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/eval-ai-adoption/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Mallika Rao</dc:creator>
      <dc:date>2026-05-29T12:00:00Z</dc:date>
      <dc:identifier>/presentations/eval-ai-adoption/en</dc:identifier>
    </item>
    <item>
      <title>GitHub Slashes Agent Workflow Token Spend up to 62% with Daily Audits and MCP Pruning</title>
      <link>https://www.infoq.com/news/2026/05/github-agentic-token-savings/?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/2026/05/github-agentic-token-savings/en/headerimage/header-1779918825690.jpeg"/&gt;&lt;p&gt;GitHub reports cutting token costs in agentic CI workflows by up to 62% by pruning unused MCP tools, swapping some MCP calls for gh CLI, and running daily “auditor” and “optimizer” agents. A token-usage.jsonl artefact and an Effective Tokens metric help track spend across models and spot regressions.&lt;/p&gt; &lt;i&gt;By Mark Silvester&lt;/i&gt;</description>
      <category>FinOps</category>
      <category>AI Architecture</category>
      <category>github</category>
      <category>Software Engineering</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 29 May 2026 08:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/github-agentic-token-savings/?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>2026-05-29T08:30:00Z</dc:date>
      <dc:identifier>/news/2026/05/github-agentic-token-savings/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: From Founding Engineer to CTO to CEO – At the Same Startup</title>
      <link>https://www.infoq.com/presentations/framework-best-practices-startup/?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/framework-best-practices-startup/en/mediumimage/medium-1779194881438.jpeg"/&gt;&lt;p&gt;Trisha Ballakur discusses her journey from a backend software engineer to CTO and CEO, using her startup Pointz as a case study. She explains how to implement bottom-up customer discovery to find product-market fit, effectively delegate to global contractors to reduce build times, customize open-source repos like Valhalla, and apply engineering test-case models to business development.&lt;/p&gt; &lt;i&gt;By Trisha Ballakur&lt;/i&gt;</description>
      <category>Best Practices</category>
      <category>QCon San Francisco 2025</category>
      <category>Transcripts</category>
      <category>Startup</category>
      <category>Culture &amp; Methods</category>
      <category>presentation</category>
      <pubDate>Thu, 28 May 2026 12:33:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/framework-best-practices-startup/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Trisha Ballakur</dc:creator>
      <dc:date>2026-05-28T12:33:00Z</dc:date>
      <dc:identifier>/presentations/framework-best-practices-startup/en</dc:identifier>
    </item>
    <item>
      <title>Accountability is the Goal for AI, with EU Regulations Supporting Transparency</title>
      <link>https://www.infoq.com/news/2026/05/accountability-AI-EU-regulations/?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/2026/05/accountability-AI-EU-regulations/en/headerimage/accountability-regulation-supporting-transparency-header-1779711042392.jpg"/&gt;&lt;p&gt;AI bias mirrors human bias; both stem from our language and lived experiences. Ethics and AI are inseparable, but AI changes affordances, making harmful actions easier to carry out. The EU regulations apply to AI, since digital products are products. The ultimate goal is accountability: companies must ensure transparency, and laws should favor using the simplest AI that gets the job done.&lt;/p&gt; &lt;i&gt;By Ben Linders&lt;/i&gt;</description>
      <category>Ethics</category>
      <category>Keynote</category>
      <category>Regulation</category>
      <category>GOTO Conference</category>
      <category>Artificial Intelligence</category>
      <category>Products</category>
      <category>GDPR</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Thu, 28 May 2026 11:08:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/accountability-AI-EU-regulations/?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>2026-05-28T11:08:00Z</dc:date>
      <dc:identifier>/news/2026/05/accountability-AI-EU-regulations/en</dc:identifier>
    </item>
    <item>
      <title>Microsoft Announces Azure Linux 4.0, Its First General-Purpose Server Linux Distribution</title>
      <link>https://www.infoq.com/news/2026/05/azure-linux-4-server/?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;Microsoft announced Azure Linux 4.0 and Azure Container Linux at Open Source Summit. Azure Linux 4.0 is a Fedora-based general-purpose server distribution for Azure VMs, the first time Microsoft has offered a supported Linux beyond container hosting. Azure Container Linux is an immutable container-optimized host built on Flatcar.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Open Source</category>
      <category>Linux</category>
      <category>Cloud</category>
      <category>Containers</category>
      <category>Operating Systems</category>
      <category>Microsoft Azure</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Thu, 28 May 2026 09:49:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/azure-linux-4-server/?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>2026-05-28T09:49:00Z</dc:date>
      <dc:identifier>/news/2026/05/azure-linux-4-server/en</dc:identifier>
    </item>
    <item>
      <title>Article: Stragglers, Not Failures: How Adaptive Hedged Requests Reduce p99 Latency by 74 Percent</title>
      <link>https://www.infoq.com/articles/adaptive-hedged-requests-p99-latency/?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/adaptive-hedged-requests-p99-latency/en/headerimage/adaptive-hedged-requests-p99-latency-header-1779785816730.jpg"/&gt;&lt;p&gt;n fan-out microservice architectures, slow-but-completing requests accumulate across services and drive p99 latency far higher than per-service metrics suggest. This article presents an adaptive hedging mechanism that uses DDSketch for real-time quantile estimation, windowed rotation to handle distribution drift, and a token-bucket budget to prevent load amplification.&lt;/p&gt; &lt;i&gt;By Prathamesh Bhope&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Architecture</category>
      <category>Distributed Systems</category>
      <category>Performance</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Thu, 28 May 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/adaptive-hedged-requests-p99-latency/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Prathamesh Bhope</dc:creator>
      <dc:date>2026-05-28T09:00:00Z</dc:date>
      <dc:identifier>/articles/adaptive-hedged-requests-p99-latency/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Adds Support for Claude Managed Agents</title>
      <link>https://www.infoq.com/news/2026/05/cloudflare-claude-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/news/2026/05/cloudflare-claude-agents/en/headerimage/generatedHeaderImage-1779863264544.jpg"/&gt;&lt;p&gt;Cloudflare recently added support for Claude Managed Agents, allowing developers to run and manage Claude agents within Cloudflare. Developers can connect agents to private systems, choose their runtime environment, and monitor agent activity using Cloudflare services.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Cloudflare</category>
      <category>Cloud</category>
      <category>Serverless</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Anthropic</category>
      <category>Agents</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 28 May 2026 06:23:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/cloudflare-claude-agents/?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>2026-05-28T06:23:00Z</dc:date>
      <dc:identifier>/news/2026/05/cloudflare-claude-agents/en</dc:identifier>
    </item>
    <item>
      <title>How LinkedIn Identified a Kernel Lock Contention Issue Causing Recurring System Freezes</title>
      <link>https://www.infoq.com/news/2026/05/linkedin-kernel-lock-freeze/?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/2026/05/linkedin-kernel-lock-freeze/en/headerimage/linkedin-kernel-lock-freeze-1779903552098.jpg"/&gt;&lt;p&gt;When LinkedIn engineers encountered short-lived, recurring outages where the database powering their user feed became unavailable and then recovered without leaving helpful traces, they had to devise a novel approach to uncover the root cause using off-CPU profiling with eBPF.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>LinkedIn</category>
      <category>Linux</category>
      <category>Rust</category>
      <category>Monitoring</category>
      <category>eBPF</category>
      <category>Memory</category>
      <category>Availability</category>
      <category>Profilers</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 27 May 2026 18:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/linkedin-kernel-lock-freeze/?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>2026-05-27T18:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/linkedin-kernel-lock-freeze/en</dc:identifier>
    </item>
    <item>
      <title>Azure Logic Apps Adds Sandboxed Code Interpreters to Agent Workflows</title>
      <link>https://www.infoq.com/news/2026/05/azure-logic-apps-agents/?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;Microsoft added sandboxed code interpreters to Azure Logic Apps, enabling agents within integration workflows to generate and execute Python, JavaScript, C#, and PowerShell in Hyper-V isolated sessions. Architects get full control over model selection per workflow. The capability positions Logic Apps as an agent platform for integration alongside Foundry and Copilot Studio.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Low Code</category>
      <category>AI Architecture</category>
      <category>Azure</category>
      <category>LogicApps</category>
      <category>iPaaS</category>
      <category>Agents</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 27 May 2026 09:45:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/azure-logic-apps-agents/?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>2026-05-27T09:45:00Z</dc:date>
      <dc:identifier>/news/2026/05/azure-logic-apps-agents/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Designing AI Platforms for Reliability: Tools for Certainty, Agents for Discovery</title>
      <link>https://www.infoq.com/presentations/ai-platforms-reliability/?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-platforms-reliability/en/mediumimage/medium-1779182751443.jpg"/&gt;&lt;p&gt;Aaron Erickson discusses the evolution of AI workflows, shifting from "vibe checking" to building reliable, multi-agent frameworks. He explains how to combine deterministic software guardrails with agentic discovery, optimize agent hierarchies, leverage time-series foundation models, and implement rigorous evaluation pyramids to ensure architecture scales effectively in production.&lt;/p&gt; &lt;i&gt;By Aaron Erickson&lt;/i&gt;</description>
      <category>QCon AI 2025</category>
      <category>Artificial Intelligence</category>
      <category>Transcripts</category>
      <category>Reliability</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Wed, 27 May 2026 09:04:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-platforms-reliability/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Aaron Erickson</dc:creator>
      <dc:date>2026-05-27T09:04:00Z</dc:date>
      <dc:identifier>/presentations/ai-platforms-reliability/en</dc:identifier>
    </item>
    <item>
      <title>Sarang Kulkarni on Lessons from Building Deep Research Agents in Production</title>
      <link>https://www.infoq.com/news/2026/05/kulkarni-deep-research-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/news/2026/05/kulkarni-deep-research-agents/en/headerimage/Deep-Research-Agents-Production-header-1779788374890.jpg"/&gt;&lt;p&gt;Deep Research Agentic Systems are AI Agents designed to conduct multi-step research for complex tasks using dynamic reasoning, multi-hop information retrieval, and generate structured analytical reports. Sarang Kulkarni from Thoughtworks spoke at Arc of AI Conference 2026 on how to deploy multi-agent research systems for deep reasoning, and the lessons learned from developing Deep Research Agents.&lt;/p&gt; &lt;i&gt;By Srini Penchikala&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>Artificial Intelligence</category>
      <category>Generative AI</category>
      <category>Agents</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Wed, 27 May 2026 07:45:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/kulkarni-deep-research-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Srini Penchikala</dc:creator>
      <dc:date>2026-05-27T07:45:00Z</dc:date>
      <dc:identifier>/news/2026/05/kulkarni-deep-research-agents/en</dc:identifier>
    </item>
    <item>
      <title>Pullfrog AI: Open-Source CodeRabbit Alternative Powered by GitHub Actions</title>
      <link>https://www.infoq.com/news/2026/05/pullfrog-ai-github/?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/2026/05/pullfrog-ai-github/en/headerimage/generatedHeaderImage-1779809250656.jpg"/&gt;&lt;p&gt;Pullfrog is an open-source AI-powered GitHub bot by Colin McDonnell, designed for automation in GitHub Actions. It supports a model-agnostic approach, allowing integration with various LLM providers. Key features include orchestration for pull request reviews, issue triage, and CI remediation, all managed within GitHub's environment. The tool operates with a bring-your-own-key model for access.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>Code Reviews</category>
      <category>AI Development</category>
      <category>AI Assisted Coding</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 27 May 2026 06:23:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/pullfrog-ai-github/?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>2026-05-27T06:23:00Z</dc:date>
      <dc:identifier>/news/2026/05/pullfrog-ai-github/en</dc:identifier>
    </item>
    <item>
      <title>Platform Engineering Labs Expands formae with Kubernetes Support, Native Helm Integration</title>
      <link>https://www.infoq.com/news/2026/05/formae-k8s-helm-integration/?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/2026/05/formae-k8s-helm-integration/en/headerimage/generatedHeaderImage-1779526130360.jpg"/&gt;&lt;p&gt;Platform Engineering Labs has announced a major update to its open-source Infrastructure-as-Code platform, formae, introducing full Kubernetes support, native Helm integration, direct .tfvars compatibility, and a new public plugin hub aimed at simplifying cloud-native infrastructure management&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>helm</category>
      <category>Infrastructure as Code</category>
      <category>Automated Deployment</category>
      <category>Kubernetes</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 26 May 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/formae-k8s-helm-integration/?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>2026-05-26T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/formae-k8s-helm-integration/en</dc:identifier>
    </item>
    <item>
      <title>InfoQ Online Certification Program: New AI Engineering and Organizational Architecture Cohorts</title>
      <link>https://www.infoq.com/news/2026/05/online-cohort-certification-prog/?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/2026/05/online-cohort-certification-prog/en/headerimage/online-cohort-certification-program-1779709293624.jpg"/&gt;&lt;p&gt;InfoQ expands its online certification portfolio with new AI Engineering and Organizational Architecture cohorts, giving senior practitioners a confidential peer group to pressure-test production AI, platform, team design, and architecture decisions.&lt;/p&gt; &lt;i&gt;By Artenisa Chatziou&lt;/i&gt;</description>
      <category>AI Architecture</category>
      <category>Retrieval-Augmented Generation</category>
      <category>InfoQ Certification Program</category>
      <category>Security</category>
      <category>Enterprise</category>
      <category>Software Engineering</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Tue, 26 May 2026 10:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/online-cohort-certification-prog/?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>2026-05-26T10:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/online-cohort-certification-prog/en</dc:identifier>
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