--- title: Your agent loop is not a production system | daily.dev description: An argument that agent frameworks (LangGraph, Strands, OpenAI Agents SDK, Google ADK) provide useful lifecycle hooks like checkpoints and interrupts, but... canonical: https://daily.dev/posts/your-agent-loop-is-not-a-production-system-s0faarjcu twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Your agent loop is not a production system | daily.dev og:description: An argument that agent frameworks (LangGraph, Strands, OpenAI Agents SDK, Google ADK) provide useful lifecycle hooks like checkpoints and interrupts, but... og:url: https://daily.dev/posts/your-agent-loop-is-not-a-production-system-s0faarjcu og:image: https://api.daily.dev/og/posts/S0fAARjcu.png og:image:alt: Your agent loop is not a production system 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. # Your agent loop is not a production system **[LeadDev](https://daily.dev/sources/leaddev)** · 13 min read · 0 upvotes · 0 comments ## Summary An argument that agent frameworks (LangGraph, Strands, OpenAI Agents SDK, Google ADK) provide useful lifecycle hooks like checkpoints and interrupts, but organizations must build their own production harness around five durable contracts: context, state, tools, control, and completion. Drawing on experience building AWS DevOps Agent, the piece distinguishes approval, execution, and verification as three separate proofs that a naive agent loop conflates, and argues mutation capability, not model choice, is the real production boundary. It proposes a three-stage rollout: a reconstructable read-only path, one operator-approved write with full contract enforcement, then deliberate failure testing before scaling to generated code, plugins, and multi-agent delegation. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### Why isn't a successful tool call enough to prove an AI agent finished an incident response task? A successful API response only proves an action executed, not that the underlying problem was solved. For example, a rollback can succeed and the deployment system confirms the previous version is active, while the 5xx error rate stays elevated and the alarm never clears. Approval proves authority, execution evidence proves what changed, and a separate verification step must confirm the actual goal, like alarm clearance, was reached. _Anyone building verification into agent workflows can follow ongoing coverage of production AI agent design on daily.dev._ ### What is the difference between guardrails and a harness for AI agents that can modify production systems? Guardrails keep an agent's actions inside a defensible envelope, while a harness is the control plane that makes those actions inspectable, attributable, and verifiable across an entire run. A harness must preserve five contracts: context, state, tools, control, and completion, so that approvals, executed changes, and outcome verification survive restarts, cancellations, and scope changes rather than collapsing into a single fragile conversation turn. _Engineers weighing how much authority to grant autonomous agents can track this design debate on daily.dev._ ## Similar posts on daily.dev - [How to Build a Production-Safe Agent Loop: From Exit Conditions to Audit Trails](https://daily.dev/posts/how-to-build-a-production-safe-agent-loop-from-exit-conditions-to-audit-trails-5tqmtiv6o) · freeCodeCamp · 1 upvotes · 0 comments - [Long-running Agents](https://daily.dev/posts/long-running-agents-irtro0veg) · Addy Osmani · 78 upvotes · 3 comments - [The Agentic Loop: Three loops in a trench coat](https://daily.dev/posts/the-agentic-loop-three-loops-in-a-trench-coat-jg81mltng) · Hacker News · 0 upvotes · 0 comments --- Tags: [#aws](https://daily.dev/tags/aws), [#ai-agents](https://daily.dev/tags/ai-agents), [#mcp](https://daily.dev/tags/mcp) [View this post on daily.dev](https://daily.dev/posts/your-agent-loop-is-not-a-production-system-s0faarjcu) ```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":"Your agent loop is not a production system","url":"https://daily.dev/posts/your-agent-loop-is-not-a-production-system-s0faarjcu","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/your-agent-loop-is-not-a-production-system-s0faarjcu"},"datePublished":"2026-09-28T09:43:03.257Z","dateModified":"2026-09-28T09:43:27.312Z","description":"An argument that agent frameworks (LangGraph, Strands, OpenAI Agents SDK, Google ADK) provide useful lifecycle hooks like checkpoints and interrupts, but...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/382d523e39791c0889ad2f3c78e0793d?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/382d523e39791c0889ad2f3c78e0793d?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"LeadDev","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":"LeadDev","logo":"https://media.daily.dev/image/upload/s--u_Q34nzh--/f_auto,q_auto/v1774514111/logos/leaddev?_a=BAMAMiWQ0","url":"https://daily.dev/sources/leaddev"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/your-agent-loop-is-not-a-production-system-s0faarjcu","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"aws,ai-agents,mcp","timeRequired":"PT13M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"LeadDev","item":"https://daily.dev/sources/leaddev"},{"@type":"ListItem","position":3,"name":"Your agent loop is not a production system"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/your-agent-loop-is-not-a-production-system-s0faarjcu#faq","mainEntity":[{"@type":"Question","name":"Why isn't a successful tool call enough to prove an AI agent finished an incident response task?","acceptedAnswer":{"@type":"Answer","text":"A successful API response only proves an action executed, not that the underlying problem was solved. 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