Teaching AI Agents to Manage Schema with Atlas
AI agents are becoming a core part of daily development. We utilize them to help us write code, fix syntax errors, and perform tasks that speed up routine work. However, when it comes to high-risk operations like database schema changes, we are more hesitant to hand off control to these AI agents.
While you can leverage the AI agent's abilities to generate migrations and make suggestions, you need to ensure the safety of these operations.
Atlas is a database schema management tool that ensures safe and reliable schema changes. Users define their schemas as code, and Atlas performs migrations based on changes to these code definitions. With Atlas, you can configure lint checks, pre-migration validations, and schema testing, making it an ideal counterpart for AI agents.
In this post, we'll show you how to configure popular AI agents to work with Atlas to ensure that schema changes made by the agent are secure.
