Build a CRUD REST API for tasks or users

Implement JWT-based authentication

Integrate SQLAlchemy for database operations

Add pagination and filtering for endpoints

Use Flask-CORS for cross-origin requests

Check Flask app context errors

Verify correct import of resources and API

Ensure reqparse arguments match request data

Check endpoint URLs and method definitions

Debug using Flask’s built-in debugger

Use Flask test client for endpoint testing

Unit test resource methods

Mock database sessions for isolated tests

Integration tests with API and DB

Use pytest-flask for enhanced testing features

Deploy with Gunicorn or uWSGI on Linux servers

Use Docker for containerized deployment

Deploy on cloud platforms (AWS, GCP, Heroku)

Set up CI/CD pipelines for testing and deployment

Monitor logs and metrics in production

Flask - core microframework

Flask-RESTful - API extension

Flask-SQLAlchemy - ORM integration

Flask-JWT-Extended - JWT authentication

Flask-CORS - cross-origin support

Database via SQLAlchemy or Peewee

Authentication via Flask-JWT or OAuth

Caching via Flask-Caching or Redis

Rate limiting via Flask-Limiter

Testing via unittest or pytest

Use resource classes for structured APIs

Leverage Flask extensions for common features

Modularize code for maintainability

Automate testing with pytest

Monitor API performance regularly

Learning Flask app context and request lifecycle

Properly structuring multi-resource APIs

Managing request parsing and validation

Integrating authentication and database cleanly

Scaling Flask apps for production workloads