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How we built an internal data analytics agent

опубликовано 01:08 UTC · дата новости: June 19, 2026 · The GitHub Blog

GitHub's engineering team published a detailed postmortem on Qubot, an internal Copilot-powered analytics agent that lets any GitHub employee query company data in plain language — no SQL, no Tableau. The post is a real-world case study in shipping a production AI agent: prompt d

The post is notable because it shows how GitHub itself uses Copilot internally — a useful counterweight to vendor marketing. Qubot covers GitHub's internal data warehouse and is gated by role-based permissions; the team built it iteratively, with a heavy emphasis on evaluation sets, regression tests for prompts, and human-in-the-loop review for high-stakes queries. For developers building their own internal agents, the post is a concrete template for the "agent engineering" discipline that GitHub says it now treats as a first-class engineering practice.

Источник: The GitHub Blog
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