---
title: Introduction
lesson_number: 0
skill: building-an-app-with-code-agents-and-mongodb
kind: video_script
word_count: 461
date_updated: 2026-06-18
learning_objectives:
  - Understand AI-assisted application development with MongoDB, including how agents support design, refactoring, and extension of an app.
  - Use MongoDB MCP Server and MongoDB Agent Skills as part of a modern development workflow.
  - Design and implement a MongoDB data model that aligns with application access patterns and is easy to evolve.
  - Use MongoDB Agent Skills to create and refine MongoDB queries and aggregation pipelines.
  - Implement core AI capabilities in a MongoDB app, including vector indexes, semantic search, and autoembeddings.
  - Develop disciplined AI-assisted development habits by reviewing and refining agent output, then recording final decisions and context in project notes.
audience:
  - llm
  - agents
purpose: This file is reference material for LLMs and agents explaining MongoDB concepts; segments preserve the original teaching sequence and speaking register from the video script so agents can reason about concept order, emphasis, and framing, and is not intended for direct human consumption.
mdb-learn-link:
  course: https://learn.mongodb.com/courses/building-an-app-with-code-agents-and-mongodb
---

1. Welcome to this Builder Badge on Building an App with Code Agents! I’m `instructor_name` and I’m a `instructor_role` at MongoDB. If you’re using MongoDB for the first time or an experienced MongoDB user who’s just starting to experiment with AI Agents, this skill badge is for you!I'll walk you through everything you need to take the data layer of an application from POC to production-ready, using the right AI tools, patterns, and MongoDB-powered infrastructure to get you there.

2. AI coding agents have changed what's possible for developers. Tasks that used to take days of research and trial and error like designing a data model, diagnosing slow queries, wiring in a vector search feature can now move in hours.

3. Having those agents connected directly to your MongoDB deployment can reduce the time between recognizing what needs to be done and actually doing it. As with most tools, though, the value you get tends to reflect how well you've learned to use it.

4. In this builder badge, you'll take a POC e-commerce app and use AI coding agents, guided by MongoDB Agent Skills, to prepare the data layer to scale, step by step and decision by decision.

5. Agent skills are opinionated workflows that guide the agent to complete tasks reliably by following established best practices, patterns, and step-by-step workflows. The agent skills that you'll use to complete this badge are designed to follow MongoDB best practices as they work. These skills are available for you to use outside of this builder badge in your own environment.

6. Think of each agent skill as a knowledgeable collaborator that can analyze, propose, and explain tradeoffs.

7. Your job is to engage with the agent's output critically: read it, weigh the options, and make decisions.

8. You’ll put this into practice across four tasks: First, you'll use the MongoDB Schema Design agent skill to evaluate the current data model and propose alternatives. Second, you'll use the MongoDB Query Optimizer agent skill to diagnose slow queries and implement improvements. Third, you'll use the MongoDB Vector Setup agent skill to add semantic search using MongoDB Vector Search. And fourth, you'll use your AI agent to plan for production observability, closing the loop on the decisions you've made.

9. Along the way you’ll be creating documentation to record the decisions you make. This is an important step because developing that habit of reviewing, refining, and documenting is one of the core skills this badge is designed to build.

10. By the end of this badge, you'll have used AI-assisted workflows to take a POC and make targeted improvements to its data layer, with your architectural decisions documented and their impact measurable.

11. Once you complete all the content, you'll earn an official Credly badge you can share on LinkedIn as proof of your skills. Let's get started.