Qubot: Engineering GitHub’s Internal AI Data Analytics Agent

GitHub developed an internal AI tool called Qubot to help employees navigate complex data warehouses using natural language. This Copilot-powered agent enables users to perform self-service analytics by translating plain English questions into technical queries across multiple data engines. The system relies on a robust context layer that organizes documentation and business rules, ensuring the AI provides accurate and relevant insights. By integrating with Slack and VS Code, the tool makes data exploration accessible to both technical and non-technical staff. Since its deployment, the company has observed a significant decrease in routine support requests for the data team, fostering a more autonomous decision-making culture. Ultimately, the project demonstrates how structured metadata and automated evaluation frameworks are essential for building reliable AI-driven engineering tools.Note:  This podcast was AI-generated, and sometimes AI can make mistakes.  Please double-check any critical information.Sponsored by Embersilk LLC