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Building the Movie Recommendation Base Backend using Codex

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Overview

The learner will build the base backend by planning the database model, implementing Postgres tables and migrations, creating scripts to load and verify dataset imports, developing repository and endpoint layers, and adding tests/smoke checks to ensure reliable queries and stable behavior over time.

Syllabus

Unit 1: Loading Data into Postgres

Creating the Netflix Database Schema
Building Command Line Arguments Parser
Implementing Core Data Loading Functions
Transforming Raw Data into Relational Structure
Completing the Data Pipeline Integration
Documenting the Data Verification Script
Implementing the Database Verification Script

Unit 2: Designing AGENTS.md Files

Generate Your AI Assistant Handbook
Refining Your AI Assistant Handbook
Document Your Database Schema for Codex

Unit 3: Creating Database Repositories

Building Database Configuration from Environment
Building Connection Pools and Repository Layer
Implementing the Show Repository Layer
Generating a README file

Unit 4: Adding User Reviews

Adding User Tables to Schema
Verifying User Tables in Database

Reviews

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