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.
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Two tools that were already speaking the same languageWhat the new flow actually looks likeWhy this is bigger than one demo166 Impressions