--- title: Agents that debug agents | daily.dev description: A walkthrough describes the 'operator pattern,' an agent architecture where a reasoner agent automatically detects failed workflow runs, fetches the execution... canonical: https://daily.dev/posts/agents-that-debug-agents-v0njfhhr7 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Agents that debug agents | daily.dev og:description: A walkthrough describes the 'operator pattern,' an agent architecture where a reasoner agent automatically detects failed workflow runs, fetches the execution... og:url: https://daily.dev/posts/agents-that-debug-agents-v0njfhhr7 og:image: https://api.daily.dev/og/posts/v0NJFHhr7.png og:image:alt: Agents that debug agents og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Agents that debug agents **[AgentField.ai](https://daily.dev/sources/agentfield)** · 9 min read · 0 upvotes · 0 comments ## Summary A walkthrough describes the 'operator pattern,' an agent architecture where a reasoner agent automatically detects failed workflow runs, fetches the execution DAG from a control plane, diagnoses the root cause via an LLM call, and optionally drafts a capped fix behind a human approval gate. Built on the AgentField SDK (Python, Go, TypeScript), the pattern bounds every action: one investigation, one diagnosis, at most one budget-capped fix attempt, and nothing merges without human approval. Includes code for failure detection via webhook or polling, DAG traversal, a flat diagnosis schema, and a tiered action router, plus a link to a production-ready reference implementation. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### How can I build an AI agent that automatically diagnoses why another agent's workflow failed? An operator reasoner agent can subscribe to a control plane's execution.failed event, fetch the failed run's DAG, walk the timeline to the broken node, and pass its error, input, and log tail to an LLM call that returns a structured diagnosis with a root-cause category, confidence score, and suggested fix. Low-confidence results just get logged and notified; only high-confidence code-level causes trigger a further action. _See a full code pattern for self-healing agent pipelines curated on daily.dev._ ### How do you prevent an AI agent that automatically fixes code from making unbounded or unsafe changes? Cap every automated fix attempt hard: one investigation per failure, one diagnosis call, at most one budget-capped fix attempt (for example three dollars and thirty turns), and require a human approval gate before anything merges. The fix runs on a branch before approval so a reviewer sees an actual diff rather than a promise, and a rejected fix is recorded and not retried automatically. _Developers designing safe agent autonomy limits can find more patterns like this on daily.dev._ ## Similar posts on daily.dev - [Rethinking Debugging: The Recursive Agent Pattern](https://daily.dev/posts/rethinking-debugging-the-recursive-agent-pattern-o2nkt7ri7) · SitePoint · 1 upvotes · 0 comments - [Agents as scaffolding for recurring tasks.](https://daily.dev/posts/agents-as-scaffolding-for-recurring-tasks--x3gryp88p) · Irrational Exuberance · 0 upvotes · 0 comments - [The Roadmap to Mastering Agentic AI Design Patterns](https://daily.dev/posts/the-roadmap-to-mastering-agentic-ai-design-patterns-rnti5xf8i) · Machine Learning Mastery · 4 upvotes · 0 comments - [Top AI Agentic Workflow Patterns](https://daily.dev/posts/top-ai-agentic-workflow-patterns-kh07ttxry) · ByteByteGo · 9 upvotes · 0 comments --- Tags: [#python](https://daily.dev/tags/python), [#ai-agents](https://daily.dev/tags/ai-agents), [#observability](https://daily.dev/tags/observability), [#claude-code](https://daily.dev/tags/claude-code) [View this post on daily.dev](https://daily.dev/posts/agents-that-debug-agents-v0njfhhr7) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Agents that debug agents","url":"https://daily.dev/posts/agents-that-debug-agents-v0njfhhr7","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/agents-that-debug-agents-v0njfhhr7"},"datePublished":"2026-10-02T17:45:20.793Z","dateModified":"2026-10-02T18:08:20.539Z","description":"A walkthrough describes the 'operator pattern,' an agent architecture where a reasoner agent automatically detects failed workflow runs, fetches the execution...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/80f4480e4dca9ec135d421f8ec03ca16?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/80f4480e4dca9ec135d421f8ec03ca16?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"AgentField.ai","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"AgentField.ai","logo":"https://media.daily.dev/image/upload/s--VLFHaedl--/f_auto/v1791063152/squads/33beeb91-1f14-4d9b-9cf8-db7d9f69160a?_a=BAMAMicg0","url":"https://daily.dev/squads/agentfield"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/agents-that-debug-agents-v0njfhhr7","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"python,ai-agents,observability,claude-code","timeRequired":"PT9M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"AgentField.ai","item":"https://daily.dev/squads/agentfield"},{"@type":"ListItem","position":3,"name":"Agents that debug agents"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/agents-that-debug-agents-v0njfhhr7#faq","mainEntity":[{"@type":"Question","name":"How can I build an AI agent that automatically diagnoses why another agent's workflow failed?","acceptedAnswer":{"@type":"Answer","text":"An operator reasoner agent can subscribe to a control plane's execution.failed event, fetch the failed run's DAG, walk the timeline to the broken node, and pass its error, input, and log tail to an LLM call that returns a structured diagnosis with a root-cause category, confidence score, and suggested fix. 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