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Show HN: Scaffold a BigQuery and dbt and Cube project an AI agent can operate

A new tool lets users scaffold a BigQuery, dbt, and Cube project that an AI agent can operate, simplifying setup and management of analytics infrastructure.

Background

- dbt (data build tool) is an open-source tool that lets data teams transform data in their warehouses using SQL—essentially, it's a standard way to manage analytics code the way software engineers manage application code. - BigQuery is Google Cloud's serverless, highly scalable data warehouse; it handles massive datasets without needing to manage infrastructure. - Cube is an open-source semantic layer / headless BI tool that sits between your data warehouse and frontend dashboards, making it easier to build consistent metrics and APIs for analytics. - Revo is a developer tool for scaffolding full-stack data projects that combine these three technologies. The key twist is that the scaffolding is designed to produce a project an AI agent (e.g., a code-writing LLM) can reliably operate on—meaning the generated codebase has clear conventions, minimal ambiguity, and predictable patterns an AI can navigate. - "Show HN" is a tag on Hacker News (news.ycombinator.com) where makers and founders present side projects or startups to the tech community for feedback; this project was posted there, indicating it's aimed at a technical audience who build data pipelines.

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