How to build an AI assistant on a company's codebase: the Zvooq music service team's experience

▤ Summary

The article explains how the Zvooq music service built an AI assistant for working with its internal codebase and company knowledge base. It describes the problem of scattered documentation and the need to speed up developer access to information across tools such as Git, Postgres, and Confluence. The team discusses why it chose an RAG-based approach, how it assembled data sources, and how it used an LLM to answer questions about the codebase. It also covers practical implementation details such as search quality, indexing, and deployment considerations. The piece highlights measurable productivity gains and the broader value of applying AI to internal engineering workflows.

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