--- title: The New Meta(flow): Plan and Build in Kilo, Deploy on... description: Kilo, now part of Anaconda, pairs its AI agent modes (Plan, Code, Debug, Review) with the Anaconda Platform's Metaflow-based infrastructure to take Python... canonical: https://daily.dev/posts/the-new-meta-flow-plan-and-build-in-kilo-deploy-on-the-anaconda-platform-5vllowqxw twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: The New Meta(flow): Plan and Build in Kilo, Deploy on the Anaconda Platform | daily.dev og:description: Kilo, now part of Anaconda, pairs its AI agent modes (Plan, Code, Debug, Review) with the Anaconda Platform's Metaflow-based infrastructure to take Python... og:url: https://daily.dev/posts/the-new-meta-flow-plan-and-build-in-kilo-deploy-on-the-anaconda-platform-5vllowqxw og:image: https://api.daily.dev/og/posts/5vLLowQXW.png og:image:alt: The New Meta(flow): Plan and Build in Kilo, Deploy on the Anaconda Platform 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. # The New Meta(flow): Plan and Build in Kilo, Deploy on the Anaconda Platform **[Kilo Blog](https://daily.dev/sources/kilo-ai-blog)** · 4 min read · 2 upvotes · 0 comments ## Summary Kilo, now part of Anaconda, pairs its AI agent modes (Plan, Code, Debug, Review) with the Anaconda Platform's Metaflow-based infrastructure to take Python data/ML pipelines from idea to production. Kilo handles planning and building pipeline code, while the Anaconda Platform handles deployment, scaling via Kubernetes, and serving artifacts through a Deployments API with lineage tracking. The pitch is a single workflow from prototype to live, versioned production service without switching tools or environments. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### How does Kilo's AI agent work with the Anaconda Platform to deploy Metaflow pipelines? Kilo's Plan, Code, Debug, and Review agent modes handle sketching and implementing a Metaflow pipeline written in plain Python with @step-decorated functions, while the Anaconda Platform runs it at scale using --with kubernetes and deploys it as a live FastAPI service via the @app_deploy decorator. The same container image and code package used during the flow run becomes the deployed artifact, preserving lineage back to the originating run. _Developers weighing AI-assisted pipeline tools against manual deploy setups can compare options on daily.dev._ ## Similar posts on daily.dev - [Anaconda acquires Outerbounds to rein in the buggy code AI agents keep shipping](https://daily.dev/posts/anaconda-acquires-outerbounds-to-rein-in-the-buggy-code-ai-agents-keep-shipping-hzxp26se7) · The New Stack · 0 upvotes · 0 comments - [Introducing the Metaflow-Kubeflow Integration](https://daily.dev/posts/introducing-the-metaflow-kubeflow-integration-aej0hztht) · Kubeflow · 4 upvotes · 0 comments - [Kilo Is a Finalist in the 2026 SiliconANGLE TechForward Awards](https://daily.dev/posts/kilo-is-a-finalist-in-the-2026-siliconangle-techforward-awards-qohgipumg) · Kilo Blog · 0 upvotes · 0 comments - [Anaconda Releases Desktop in Public Beta, Unifying AI Development Workflow](https://daily.dev/posts/anaconda-releases-desktop-in-public-beta-unifying-ai-development-workflow-vpd6gg4wd) · SD Times · 7 upvotes · 0 comments --- Tags: [#python](https://daily.dev/tags/python), [#kubernetes](https://daily.dev/tags/kubernetes), [#ai-agents](https://daily.dev/tags/ai-agents), [#mlops](https://daily.dev/tags/mlops) [View this post on daily.dev](https://daily.dev/posts/the-new-meta-flow-plan-and-build-in-kilo-deploy-on-the-anaconda-platform-5vllowqxw) ```json 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