Module 3: AI-Assisted CRUD Development
Master AI-assisted Flask development from project setup through production deployment using the CRUD F25 template and Claude AI integration.
Module Objectives
CRUD F25 Template Setup
Master project setup using the CRUD F25 starter template, GitHub repository creation, Heroku deployment with auto-deploy, and JawsDB MySQL database configuration.
AI-Assisted Environment Setup
Learn to use Claude AI for local development setup, virtual environment creation, automated .env file generation, and Heroku config variable configuration with security best practices.
Database Deployment and Testing
Deploy database schemas using Claude AI automation, troubleshoot phantom processes, test Flask applications locally, and verify CRUD operations using MySQL Workbench visualization tools.
Custom Blueprints and Production Deployment
Create custom database schemas and Flask blueprints using AI web research, automate GitHub commits and Heroku deployment, and build professional production-ready applications.
Module Roadmap
Recommended Learning Path
Follow this sequence for optimal learning:
Each step builds upon the previous one, so following this order will give you the best learning experience.
Prerequisites
Before starting this module, make sure you have:
- Completion of Module 1 and Module 2
- Understanding of Flask web development and deployment
- GitHub account and Heroku account setup
- Experience with Cursor IDE and Claude Code
- Basic knowledge of databases and web applications
Key Technologies
What You'll Learn
Module 3 transforms students into AI-assisted full-stack developers who can rapidly build and deploy database-driven applications. Learn modern AI-assisted development workflows using the CRUD F25 template, Claude AI automation, and professional deployment practices to build complete database-driven applications from setup to production.