Autonomous coding assistants are shifting from basic auto-complete tools into active agents capable of handling complex software development workflows. But these assistants inherit defaults from generic training data and often stray from best practices unless you actively guide them. In this recorded session, MongoDB Developer Advocate Nestor Daza demonstrates how to properly anchor an AI coding agent to your stack using Claude Code, ensuring it writes native, idiomatic database queries from day one.
Key Takeaways:
- Explore the differences between prompt wizards and code-native agents, focusing on how cheap schema evolution changes developer velocity.
- Practice data modeling tailored for autonomous assistance, prioritizing access patterns over traditional relational structures.
- Learn techniques for using specific database agent skills to automate data ingestion and accelerate API scaffolding.
- Deploy MongoDB’s Model Context Protocol (MCP) server to enable your agent to execute live schema introspection, query explanations, and indexing choices.
Watch this session to refine your development workflow, discover how to keep your database out of your assistant's way, and gain the hands-on expertise needed to build reliable applications alongside agentic tools.
