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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>Fonttrio Launches as Open-Source Font Pairing Registry for shadcn/ui</title>
      <link>https://www.infoq.com/news/2026/05/fonttrio-shadcn-fonts/?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;Fonttrio is an open-source font pairing registry designed for shadcn/ui projects, featuring 49 curated font combinations that can be installed via a single command. Developed by Dima Kapish, it streamlines font selection and configuration for web applications. The tool integrates seamlessly with shadcn CLI, generating CSS variables and typography scales automatically.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>React</category>
      <category>Web Development</category>
      <category>TypeScript</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 09 May 2026 09:46:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/fonttrio-shadcn-fonts/?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>2026-05-09T09:46:00Z</dc:date>
      <dc:identifier>/news/2026/05/fonttrio-shadcn-fonts/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Ships Dynamic Workflows, Bringing Durable Execution to Per-Tenant and Per-Agent Code</title>
      <link>https://www.infoq.com/news/2026/05/cloudflare-dynamic-workflows/?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-dynamic-workflows/en/headerimage/generatedHeaderImage-1778146936420.jpg"/&gt;&lt;p&gt;Cloudflare released Dynamic Workflows, an MIT-licensed library that extends its durable execution engine so workflow code can differ per tenant, agent, or request at runtime. Built on Dynamic Workers, the library enables platforms to serve millions of unique durable workflows at near-zero idle cost. CI/CD and agent plan execution are the headline use cases.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloudflare</category>
      <category>Cloud</category>
      <category>Cloud Architecture</category>
      <category>Platform Engineering</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 09 May 2026 09:31:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/cloudflare-dynamic-workflows/?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>2026-05-09T09:31:00Z</dc:date>
      <dc:identifier>/news/2026/05/cloudflare-dynamic-workflows/en</dc:identifier>
    </item>
    <item>
      <title>AWS Improves Aurora Serverless: 45% Faster Ramp-Up, 30% Higher Throughput</title>
      <link>https://www.infoq.com/news/2026/05/aurora-serverless-v4/?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/aurora-serverless-v4/en/headerimage/generatedHeaderImage-1777309076897.jpg"/&gt;&lt;p&gt;AWS has recently announced that WorkMail will be discontinued and that App Runner will stop accepting new customers and move into maintenance mode. Several other less popular services and features are also entering maintenance or sunset phases, triggering concern and debate across the AWS community.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Amazon RDS</category>
      <category>MySQL</category>
      <category>Relational Databases</category>
      <category>Postgres</category>
      <category>Cloud</category>
      <category>Serverless</category>
      <category>AWS</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 09 May 2026 06:56:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/aurora-serverless-v4/?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>2026-05-09T06:56:00Z</dc:date>
      <dc:identifier>/news/2026/05/aurora-serverless-v4/en</dc:identifier>
    </item>
    <item>
      <title>How GitHub Is Securing Agentic Workflows in Modern CI CD Systems</title>
      <link>https://www.infoq.com/news/2026/05/github-agentic-workflows/?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-workflows/en/headerimage/generatedHeaderImage-1777009566990.jpg"/&gt;&lt;p&gt;GitHub detailed a defense-in-depth security architecture for agentic workflows in CI/CD pipelines, focusing on isolation, constrained execution, and auditability. The design aims to safely integrate autonomous AI agents while mitigating risks like prompt injection, privilege escalation, and unintended actions, using sandboxed environments, restricted permissions, and full execution traceability.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>AI Architecture</category>
      <category>Continuous Integration</category>
      <category>Agents</category>
      <category>Workflow / BPM</category>
      <category>Continuous Improvement</category>
      <category>GitHub Actions</category>
      <category>Observability</category>
      <category>Cloud Security</category>
      <category>Continuous Deployment</category>
      <category>Security</category>
      <category>Logging</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 08 May 2026 14:38:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/github-agentic-workflows/?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>2026-05-08T14:38:00Z</dc:date>
      <dc:identifier>/news/2026/05/github-agentic-workflows/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Leadership in AI-Assisted Engineering</title>
      <link>https://www.infoq.com/presentations/ai-assisted-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/presentations/ai-assisted-engineering/en/mediumimage/justin-medium-1777371783790.jpg"/&gt;&lt;p&gt;Justin Reock discusses the reality of AI’s impact on engineering, moving past anecdotes to hard data from DORA and DX research.  He explains the "GenAI Divide" - where 95% of pilots fail - and shares how leaders can use the SPACE and Core 4 frameworks to measure true ROI.  He explains how to balance speed with quality, reduce developer fear, and apply agentic solutions across the entire SDLC.&lt;/p&gt; &lt;i&gt;By Justin Reock&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Leadership</category>
      <category>QCon AI 2025</category>
      <category>Software Development</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Fri, 08 May 2026 12:40:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-assisted-engineering/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Justin Reock</dc:creator>
      <dc:date>2026-05-08T12:40:00Z</dc:date>
      <dc:identifier>/presentations/ai-assisted-engineering/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Launches “Artifacts” Beta, Introducing Git-Like Versioning for AI Agents</title>
      <link>https://www.infoq.com/news/2026/05/cloudflare-artifacts-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/news/2026/05/cloudflare-artifacts-ai-agents/en/headerimage/generatedHeaderImage-1777891963459.jpg"/&gt;&lt;p&gt;Cloudflare has announced the beta release of Artifacts, a new system designed to bring Git-style version control to AI agents, enabling developers to track, manage, and evolve agent-generated outputs with the same rigor as traditional code.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Agents</category>
      <category>Cloudflare</category>
      <category>git</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 08 May 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/cloudflare-artifacts-ai-agents/?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>2026-05-08T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/cloudflare-artifacts-ai-agents/en</dc:identifier>
    </item>
    <item>
      <title>Article: Implementing the Sidecar Pattern in Microservices-based ASP.NET Core Applications</title>
      <link>https://www.infoq.com/articles/asp-net-core-side-car/?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/asp-net-core-side-car/en/headerimage/Implementing-the-Sidecar-Pattern-in-Microservices-based-ASP-NET-Core-Applications-header-1778079284259.jpg"/&gt;&lt;p&gt;Today's applications require monitoring, logging, configuration, etc. Each of these concerns can be implemented as a component or a service. These cross-cutting concerns can be tightly integrated into the application. While this tight coupling ensures effective use of shared resources, an outage in any of these components can take your application down. Enter the sidecar design pattern.&lt;/p&gt; &lt;i&gt;By Joydip Kanjilal&lt;/i&gt;</description>
      <category>.NET 10</category>
      <category>.NET 9</category>
      <category>.NET</category>
      <category>Development</category>
      <category>article</category>
      <pubDate>Fri, 08 May 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/asp-net-core-side-car/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Joydip Kanjilal</dc:creator>
      <dc:date>2026-05-08T09:00:00Z</dc:date>
      <dc:identifier>/articles/asp-net-core-side-car/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: The AI Joy Gap: Why Some Developers Thrive While Others Struggle</title>
      <link>https://www.infoq.com/podcasts/some-developers-thrive-while-others-struggle/?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/some-developers-thrive-while-others-struggle/en/smallimage/engineering-culture-podcast-thumbnail-1777018955276.jpg"/&gt;&lt;p&gt;In this podcast, Shane Hastie, Lead Editor for Culture &amp; Methods, spoke to Michael Parker, VP of Engineering at TurinTech AI, about bringing joy back to software development in the AI era, the emerging role of "factory architects" who orchestrate AI agents rather than write code directly, and the cultural divide between AI hype and the reality developers face on legacy codebases.&lt;/p&gt; &lt;i&gt;By Michael Parker&lt;/i&gt;</description>
      <category>Legacy Code</category>
      <category>Developer Experience</category>
      <category>Leadership</category>
      <category>Engineering Culture Podcast</category>
      <category>Psychological Safety</category>
      <category>Teamwork</category>
      <category>Collaboration</category>
      <category>Culture &amp; Methods</category>
      <category>podcast</category>
      <pubDate>Fri, 08 May 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/some-developers-thrive-while-others-struggle/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Michael Parker</dc:creator>
      <dc:date>2026-05-08T09:00:00Z</dc:date>
      <dc:identifier>/podcasts/some-developers-thrive-while-others-struggle/en</dc:identifier>
    </item>
    <item>
      <title>OpenAI Introduces Websocket-Based Execution Mode to Reduce Latency in Agentic Workflows</title>
      <link>https://www.infoq.com/news/2026/05/openai-websocket-responses-api/?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/openai-websocket-responses-api/en/headerimage/generatedHeaderImage-1777845282531.jpg"/&gt;&lt;p&gt;OpenAI introduces a WebSocket-based execution mode for its Responses API to improve agentic workflow performance in coding agents and real-time AI systems. The update reduces latency by up to 40 percent by replacing HTTP request-response cycles with persistent connections, improving streaming, tool execution, and multi-step orchestration in production-scale AI systems.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>Low Latency</category>
      <category>API</category>
      <category>Workflow Foundation</category>
      <category>Distributed Systems</category>
      <category>SDK</category>
      <category>Realtime API</category>
      <category>OpenAI</category>
      <category>Artificial Intelligence</category>
      <category>AI Architecture</category>
      <category>Agents</category>
      <category>AI Assisted Coding</category>
      <category>WebSocket</category>
      <category>Orchestration</category>
      <category>Optimization</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Thu, 07 May 2026 14:48:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/openai-websocket-responses-api/?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>2026-05-07T14:48:00Z</dc:date>
      <dc:identifier>/news/2026/05/openai-websocket-responses-api/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Engineering at AI Speed: Lessons from the First Agentically Accelerated Software Project</title>
      <link>https://www.infoq.com/presentations/engineering-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/engineering-ai/en/mediumimage/medium-1777370739830.jpg"/&gt;&lt;p&gt;Adam Wolff discusses the evolution of Claude Code, explaining how AI shifts the SDLC bottleneck from implementation to architectural decision-making. He shares three "war stories" to show why dogfooding and rapid unshipping are vital. He explains that when coding costs drop to zero, the speed of learning becomes the only competitive advantage.&lt;/p&gt; &lt;i&gt;By Adam Wolff&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>QCon San Francisco 2025</category>
      <category>Software Development</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Thu, 07 May 2026 14:07:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/engineering-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Adam Wolff</dc:creator>
      <dc:date>2026-05-07T14:07:00Z</dc:date>
      <dc:identifier>/presentations/engineering-ai/en</dc:identifier>
    </item>
    <item>
      <title>Applying Best Simple System for Now for Software Design</title>
      <link>https://www.infoq.com/news/2026/05/best-simple-system-design/?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/best-simple-system-design/en/headerimage/best-simple-system-design-header-1776687343321.jpg"/&gt;&lt;p&gt;Choosing between building up technical debt and missing delivery deadlines is a false dichotomy, Daniel Terhorst-North argued in his talk Best Simple System for Now. Programmers love to generalize rather than solve the immediate problem at hand, which can make future changes difficult. Instead, we need to build the skills and instincts for keeping things simple.&lt;/p&gt; &lt;i&gt;By Ben Linders&lt;/i&gt;</description>
      <category>Code Quality</category>
      <category>Scalability</category>
      <category>Architecture</category>
      <category>Technical Debt</category>
      <category>Design</category>
      <category>GOTO Conference</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Thu, 07 May 2026 11:43:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/best-simple-system-design/?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>2026-05-07T11:43:00Z</dc:date>
      <dc:identifier>/news/2026/05/best-simple-system-design/en</dc:identifier>
    </item>
    <item>
      <title>Google Announces GKE Agent Sandbox and Hypercluster at Next '26, Positioning Kubernetes as AI Agent</title>
      <link>https://www.infoq.com/news/2026/05/gke-agent-sandbox-hypercluster/?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/gke-agent-sandbox-hypercluster/en/headerimage/generatedHeaderImage-1777875585040.jpg"/&gt;&lt;p&gt;Google announced GKE Agent Sandbox and hypercluster at Cloud Next '26. Agent Sandbox uses gVisor kernel isolation for secure agent code execution at 300 sandboxes per second, built as an open-source Kubernetes SIG Apps subproject. It is currently the only native agent sandbox among the three major hyperscalers. Hypercluster manages a million chips from a single control plane.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>AI Architecture</category>
      <category>Google Cloud</category>
      <category>Cloud</category>
      <category>Containers</category>
      <category>Cloud Native Computing Foundation</category>
      <category>Google Cloud Platform</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 07 May 2026 10:06:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/gke-agent-sandbox-hypercluster/?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>2026-05-07T10:06:00Z</dc:date>
      <dc:identifier>/news/2026/05/gke-agent-sandbox-hypercluster/en</dc:identifier>
    </item>
    <item>
      <title>Leading Open Source Author Calls for Verification over Trust in Software Supply Chains</title>
      <link>https://www.infoq.com/news/2026/05/stenberg-curl-verification-trust/?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/stenberg-curl-verification-trust/en/headerimage/generatedHeaderImage-1777409230642.jpg"/&gt;&lt;p&gt;In a blog post published in March 2026, Daniel Stenberg, creator and lead developer of curl, makes the case that the software industry's default position of trusting well-known components is no longer adequate. Stenberg argues that users and organisations should actively verify the software they consume, and he uses curl's own practices as a concrete example of how that can be done.&lt;/p&gt; &lt;i&gt;By Matt Saunders&lt;/i&gt;</description>
      <category>Software Supply Chain</category>
      <category>Verification</category>
      <category>Dependency Management</category>
      <category>DevOps</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Thu, 07 May 2026 07:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/stenberg-curl-verification-trust/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Matt Saunders</dc:creator>
      <dc:date>2026-05-07T07:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/stenberg-curl-verification-trust/en</dc:identifier>
    </item>
    <item>
      <title>LinkedIn Consolidates Hiring Data Pipelines to Power AI Driven Talent Systems</title>
      <link>https://www.infoq.com/news/2026/05/linkedin-unified-hiring-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/2026/05/linkedin-unified-hiring-platform/en/headerimage/generatedHeaderImage-1776925266106.jpg"/&gt;&lt;p&gt;LinkedIn introduced a unified integrations platform to standardize and reconcile hiring data across systems. The platform reduces onboarding time by 72%, improves data consistency and completeness, and enables scalable AI-driven hiring features through standardized schemas, orchestration workflows, and centralized data processing.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Platforms</category>
      <category>Hiring</category>
      <category>Evolutionary Architecture</category>
      <category>Unification</category>
      <category>Integration</category>
      <category>Data Pipelines</category>
      <category>Data Analytics</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 06 May 2026 14:15:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/linkedin-unified-hiring-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>2026-05-06T14:15:00Z</dc:date>
      <dc:identifier>/news/2026/05/linkedin-unified-hiring-platform/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: AI-First Software Delivery: Balancing Innovation with Proven Practices</title>
      <link>https://www.infoq.com/presentations/ai-first-practices/?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-first-practices/en/mediumimage/medium-1777371216610.jpeg"/&gt;&lt;p&gt;Wes Reisz discusses the shift toward AI-first software delivery, emphasizing that agentic workflows are not one-size-fits-all.  He explains a strategic two-by-two model based on code longevity and automated verification to decide between supervised and unsupervised agents.  He shares the RIPER-5 framework - Research, Innovate, Plan, Execute, Review - to amplify engineering discipline.&lt;/p&gt; &lt;i&gt;By Wes Reisz&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Best Practices</category>
      <category>QCon AI 2025</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Wed, 06 May 2026 11:12:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-first-practices/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Wes Reisz</dc:creator>
      <dc:date>2026-05-06T11:12:00Z</dc:date>
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