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    <title>InfoQ - Agents</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Agents feed</description>
    <item>
      <title>Presentation: Multi-Agent Patterns from Spotify’s AI Powered Advertising Platform</title>
      <link>https://www.infoq.com/presentations/spotify-multi-agent-ai-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</link>
      <description>&lt;img src="https://res.infoq.com/presentations/spotify-multi-agent-ai-architecture/en/mediumimage/pratik-rasam-medium-1790847111671.jpeg"/&gt;&lt;p&gt;Pratik Rasam discusses how Spotify Ads Manager runs production-grade multi-agent systems at scale using Google ADK Java. He shares key architectural patterns, domain ownership models, deterministic guardrails, and tracing-based evaluation strategies, detailing hard-learned lessons on drawing agent boundaries, optimizing tool schemas, and managing costs while avoiding monolithic agent pitfalls.&lt;/p&gt; &lt;i&gt;By Pratik Rasam&lt;/i&gt;</description>
      <category>Patterns</category>
      <category>Performance Evaluation</category>
      <category>Prompt Engineering</category>
      <category>Agents</category>
      <category>Generative AI</category>
      <category>Transcripts</category>
      <category>AI Architecture</category>
      <category>QCon AI Boston 2026</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Thu, 08 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/spotify-multi-agent-ai-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</guid>
      <dc:creator>Pratik Rasam</dc:creator>
      <dc:date>2026-10-08T11:00:00Z</dc:date>
      <dc:identifier>/presentations/spotify-multi-agent-ai-architecture/en</dc:identifier>
    </item>
    <item>
      <title>Survey Finds AI-Generated Code Increases Debugging and Failure Rates and Creates a Comprehension Gap</title>
      <link>https://www.infoq.com/news/2026/10/survey-complex-codebases-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/survey-complex-codebases-agents/en/headerimage/agent-friendly-android-cli-1791394744043.jpeg"/&gt;&lt;p&gt;A survey conducted by independent research firm Coleman Parkes on behalf of Undo, a company focused on scaling AI-powered root-cause analysis, found that while AI coding agents have accelerated code generation, they have shifted the primary bottleneck to debugging, code comprehension, and maintenance.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Code Reviews</category>
      <category>AI coding agents</category>
      <category>C++</category>
      <category>Agents</category>
      <category>AI Assisted Coding</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 07 Oct 2026 18:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/survey-complex-codebases-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-10-07T18:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/survey-complex-codebases-agents/en</dc:identifier>
    </item>
    <item>
      <title>Spanner Omni Reaches GA, Replacing Google's Atomic Clocks and File System with Software</title>
      <link>https://www.infoq.com/news/2026/10/spanner-omni-deploy-anywhere-ga/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/spanner-omni-deploy-anywhere-ga/en/headerimage/generatedHeaderImage-1791038786495.jpg"/&gt;&lt;p&gt;Google has made Spanner Omni generally available, running its distributed SQL database on-premises, across clouds or on a laptop. Doing so meant replacing Colossus with a Colossus-like abstraction layer and TrueTime with software-based time synchronization. There is no availability SLA, and practitioners are pricing the move in tail latency and operational toil.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Google Cloud</category>
      <category>Database</category>
      <category>Cloud</category>
      <category>Agents</category>
      <category>Hybrid Cloud</category>
      <category>Architecture</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 07 Oct 2026 04:43:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/spanner-omni-deploy-anywhere-ga/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-10-07T04:43:00Z</dc:date>
      <dc:identifier>/news/2026/10/spanner-omni-deploy-anywhere-ga/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Introduces CLI for AI Agents, Sunsetting Wrangler</title>
      <link>https://www.infoq.com/news/2026/10/cloudflare-cf-cli/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/cloudflare-cf-cli/en/headerimage/generatedHeaderImage-1790917350141.jpg"/&gt;&lt;p&gt;Cloudflare recently launched the open beta of cf, a new open-source, agent-focused command-line interface for interacting with Cloudflare services through a unified CLI. Written in TypeScript, it provides structured output and command discovery to make Cloudflare’s APIs easier for both developers and AI agents.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Cloudflare</category>
      <category>AI coding agents</category>
      <category>Cloud</category>
      <category>TypeScript</category>
      <category>Agents</category>
      <category>CLI</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 06 Oct 2026 04:59:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/cloudflare-cf-cli/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-10-06T04:59:00Z</dc:date>
      <dc:identifier>/news/2026/10/cloudflare-cf-cli/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Building Reusable Evaluation Frameworks for Agentic AI Products</title>
      <link>https://www.infoq.com/presentations/elastic-ai-agent-evaluations/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</link>
      <description>&lt;img src="https://res.infoq.com/presentations/elastic-ai-agent-evaluations/en/mediumimage/susan-chang-medium-1790846586191.jpeg"/&gt;&lt;p&gt;Susan Chang explains how Elastic transitioned from siloed, ad-hoc AI agent evaluations to a unified, production-grade framework. She discusses balancing LLM-as-a-judge with deterministic rules, bridging Python data science evals with TypeScript production code, and implementing deep tracing to catch regressions across complex RAG and cybersecurity workloads while preserving domain context.&lt;/p&gt; &lt;i&gt;By Susan Chang&lt;/i&gt;</description>
      <category>MLOps</category>
      <category>Performance Evaluation</category>
      <category>ElasticSearch</category>
      <category>Large language models</category>
      <category>Agents</category>
      <category>Transcripts</category>
      <category>Retrieval-Augmented Generation</category>
      <category>Observability</category>
      <category>QCon AI Boston 2026</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Mon, 05 Oct 2026 11:19:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/elastic-ai-agent-evaluations/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</guid>
      <dc:creator>Susan Chang</dc:creator>
      <dc:date>2026-10-05T11:19:00Z</dc:date>
      <dc:identifier>/presentations/elastic-ai-agent-evaluations/en</dc:identifier>
    </item>
    <item>
      <title>Article: The Platform Engineering Playbook for Production LLMs</title>
      <link>https://www.infoq.com/articles/platform-engineering-playbook-production-llms/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</link>
      <description>&lt;img src="https://res.infoq.com/articles/platform-engineering-playbook-production-llms/en/headerimage/platform-engineering-playbook-production-llms-header-1790763235683.jpg"/&gt;&lt;p&gt;In this article, author discusses his experience with AI agent hallucinations in an inventory recommendation system and how this problem was solved by treating the LLM stack as a platform infrastructure concern instead of as an application one. He makes a case for a shared LLM platform with common services like prompt registry &amp; versioning, schema enforcement and token cost attribution by request.&lt;/p&gt; &lt;i&gt;By Aditya Mulik&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>Agentic AI Architecture</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Mon, 05 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/platform-engineering-playbook-production-llms/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</guid>
      <dc:creator>Aditya Mulik</dc:creator>
      <dc:date>2026-10-05T11:00:00Z</dc:date>
      <dc:identifier>/articles/platform-engineering-playbook-production-llms/en</dc:identifier>
    </item>
    <item>
      <title>Pizza Bot: Open-Source Inbox for Background AI Agents</title>
      <link>https://www.infoq.com/news/2026/10/pizza-bot-ai-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/pizza-bot-ai-agents/en/headerimage/generatedHeaderImage-1790332896027.jpg"/&gt;&lt;p&gt;A team of developers working at AWS recently open-sourced Pizza Bot, a self-hosted application designed to let AI agents run tasks in the background and return results through an inbox-style interface. Agents can perform scheduled or webhook-triggered work, delegate tasks to specialized workers, and pause for human approval when needed.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Developer Experience</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Open Source</category>
      <category>AI coding agents</category>
      <category>Agents</category>
      <category>AI Coding</category>
      <category>AWS</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sun, 04 Oct 2026 06:34:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/pizza-bot-ai-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-10-04T06:34:00Z</dc:date>
      <dc:identifier>/news/2026/10/pizza-bot-ai-agents/en</dc:identifier>
    </item>
    <item>
      <title>AI Agents Are Disrupting Open Source Security Disclosure</title>
      <link>https://www.infoq.com/news/2026/10/open-source-ai-security/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;A recent article by Anil Madhavapeddy argues that AI agents can turn publicly available clues about software vulnerabilities into working exploits, reducing the effectiveness of traditional disclosure embargoes in open source projects. The author highlights the need for faster patching and release processes as the time between vulnerability disclosure and exploitation shrinks.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Application Security</category>
      <category>Open Source</category>
      <category>AI coding agents</category>
      <category>Agents</category>
      <category>Common Vulnerabilities and Exposures</category>
      <category>AI Security</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 03 Oct 2026 06:46:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/open-source-ai-security/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-10-03T06:46:00Z</dc:date>
      <dc:identifier>/news/2026/10/open-source-ai-security/en</dc:identifier>
    </item>
    <item>
      <title>OpenAI DevDay 2026 Recap for Developers</title>
      <link>https://www.infoq.com/news/2026/10/openai-devday-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/openai-devday-2026/en/headerimage/generatedHeaderImage-1790873120154.jpg"/&gt;&lt;p&gt;OpenAI announced a series of product and developer updates at DevDay 2026, including GPT-6.1 Sol, computer use for the Agents API, cloud-based Codex environments, a Decisions API, and new plugin capabilities for ChatGPT.&lt;/p&gt; &lt;i&gt;By Daniel Dominguez&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>Agents</category>
      <category>OpenAI</category>
      <category>ChatGPT</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 02 Oct 2026 10:39:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/openai-devday-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</guid>
      <dc:creator>Daniel Dominguez</dc:creator>
      <dc:date>2026-10-02T10:39:00Z</dc:date>
      <dc:identifier>/news/2026/10/openai-devday-2026/en</dc:identifier>
    </item>
    <item>
      <title>Engineering Production Systems for an Agentic Era: QCon San Francisco 2026</title>
      <link>https://www.infoq.com/news/2026/10/qconsf-2026-sessions/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/qconsf-2026-sessions/en/headerimage/qcon-sf-2026-session-focus-1790849488514.jpg"/&gt;&lt;p&gt;QCon San Francisco 2026 will bring together practitioners from Airbnb, OpenAI, Netflix, Honeycomb, and other engineering organizations to share how they are building, operating, and evolving production systems as AI agents take on a larger role.&lt;/p&gt; &lt;i&gt;By Artenisa Chatziou&lt;/i&gt;</description>
      <category>QCon San Francisco 2026</category>
      <category>Agents</category>
      <category>OpenAI</category>
      <category>Artificial Intelligence</category>
      <category>QCon Software Development Conference</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 02 Oct 2026 10:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/qconsf-2026-sessions/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</guid>
      <dc:creator>Artenisa Chatziou</dc:creator>
      <dc:date>2026-10-02T10:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/qconsf-2026-sessions/en</dc:identifier>
    </item>
    <item>
      <title>Docker Sandbox Kit Spec: Packaging AI Agent Permissions as OCI Images</title>
      <link>https://www.infoq.com/news/2026/10/docker-sandbox-ai-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/docker-sandbox-ai-agent/en/headerimage/generatedHeaderImage-1790838829021.jpg"/&gt;&lt;p&gt;Docker has announced that it is bringing the Sandbox Kit Specification to the CNCF, aiming to make what an AI agent may access as portable as the agent itself.&lt;/p&gt; &lt;i&gt;By Claudio Masolo&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Docker</category>
      <category>AI Architecture</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 02 Oct 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/docker-sandbox-ai-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</guid>
      <dc:creator>Claudio Masolo</dc:creator>
      <dc:date>2026-10-02T09:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/docker-sandbox-ai-agent/en</dc:identifier>
    </item>
    <item>
      <title>DigitalOcean Managed Agents Brings Managed Cloud Infrastructure to AI Agents</title>
      <link>https://www.infoq.com/news/2026/10/digitalocean-managed-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/digitalocean-managed-agents/en/headerimage/digitalocean-managed-agents-1790930999544.jpeg"/&gt;&lt;p&gt;DigitalOcean recently launched DigitalOcean Managed Agents in public preview, offering a managed cloud infrastructure layer for AI agents with isolated microVM runtimes, governed tool access, and serverless AI inference.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>Orchestration</category>
      <category>Agents</category>
      <category>Digital Ocean</category>
      <category>Virtual Machines</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 02 Oct 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/digitalocean-managed-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-10-02T09:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/digitalocean-managed-agents/en</dc:identifier>
    </item>
    <item>
      <title>Container Apps Express Reaches GA on a Newly Generally Available Sandbox Layer</title>
      <link>https://www.infoq.com/news/2026/10/container-apps-express-sandboxes/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/container-apps-express-sandboxes/en/headerimage/generatedHeaderImage-1790627736740.jpg"/&gt;&lt;p&gt;Microsoft has made Azure Container Apps Express generally available alongside Container Apps Sandboxes, the microVM compute layer it runs on. Express skips environment provisioning and scales to zero, with subsecond startup from prewarmed pools. Custom domains, zone redundancy, Key Vault references, OpenTelemetry and Dapr are not supported.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Serverless</category>
      <category>Containers</category>
      <category>Agents</category>
      <category>Architecture</category>
      <category>Azure</category>
      <category>Microsoft Azure</category>
      <category>Platform Engineering</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Thu, 01 Oct 2026 06:31:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/container-apps-express-sandboxes/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-10-01T06:31:00Z</dc:date>
      <dc:identifier>/news/2026/10/container-apps-express-sandboxes/en</dc:identifier>
    </item>
    <item>
      <title>Cursor Uses S3 WAL to Scale Git Storage to More than 300 Pushes per Second</title>
      <link>https://www.infoq.com/news/2026/09/cursor-continuity-git-storage/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Cursor has introduced Continuity, a Git storage architecture that uses an S3 backed write ahead log as the source of truth. The design turns local NVMe repositories into warm caches and separates replica coordination from consistency. Cursor reports linear read scaling with up to 100 replicas and more than 300 pushes per second with S3 Express One Zone in synthetic tests.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>S3</category>
      <category>Protocol</category>
      <category>Continuous Integration</category>
      <category>Database Replication</category>
      <category>Hashing</category>
      <category>Agents</category>
      <category>Distributed Systems</category>
      <category>IDE</category>
      <category>AI Assisted Coding</category>
      <category>github</category>
      <category>AI Architecture</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 30 Sep 2026 13:47:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/cursor-continuity-git-storage/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-09-30T13:47:00Z</dc:date>
      <dc:identifier>/news/2026/09/cursor-continuity-git-storage/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Context is the New Code</title>
      <link>https://www.infoq.com/presentations/context-as-code-devops-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</link>
      <description>&lt;img src="https://res.infoq.com/presentations/context-as-code-devops-agents/en/mediumimage/patrick-medium-1789632704652.jpeg"/&gt;&lt;p&gt;Patrick Debois discusses how to manage, evaluate, distribute, and observe context using proven software engineering practices. He shares how treating context like code - complete with testing, CI/CD, package managers, and security scanning - enables engineering leaders to reliably scale AI coding agents, maintain control over non-deterministic outputs, and build long-term organizational knowledge.&lt;/p&gt; &lt;i&gt;By Patrick Debois&lt;/i&gt;</description>
      <category>Monitoring</category>
      <category>Performance Evaluation</category>
      <category>Testing</category>
      <category>Software Development Lifecycle</category>
      <category>Agents</category>
      <category>Transcripts</category>
      <category>QCon London 2026</category>
      <category>Code Quality</category>
      <category>Artificial Intelligence</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Culture &amp; Methods</category>
      <category>presentation</category>
      <pubDate>Wed, 30 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/context-as-code-devops-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</guid>
      <dc:creator>Patrick Debois</dc:creator>
      <dc:date>2026-09-30T11:00:00Z</dc:date>
      <dc:identifier>/presentations/context-as-code-devops-agents/en</dc:identifier>
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