AI-Assisted Back-End & API Development

This lesson covers how to use GitHub Copilot Chat to refactor existing code, specifically moving JSON validation logic into a separate helper function. We'll learn the 'separation of concerns' principle, safe use of TypeScript, and testing AI-suggested changes.

This lesson shows you how to use Claude Code to quickly scaffold an Express.js-based CRUD (Create, Read, Update, Delete) API. You will learn how to generate a multi-file project, fix errors, and refine the API together with AI.

This lesson teaches you how to use Cursor AI to quickly build lightweight Hono-based microservices that are ideal for edge and serverless environments. You will learn how to instruct the AI to follow a specific structure, maintain a single responsibility, and account for deployment considerations.

In this lesson, you will learn how to use Supabase AI to generate a database schema, SQL migrations, and Row Level Security (RLS) policies. We'll discuss the importance of RLS as a second line of defense for security and emphasize the necessity of critically reviewing AI-generated SQL.

This lesson covers how to integrate a user authentication (Auth) flow into Next.js server actions using Supabase, with the help of Cursor AI. You will learn how to build email/password sign-up and sign-in functionality, as well as how to test and debug it.

In this lesson, you will learn how to build a secure API in a Next.js Route Handler using a Supabase session, so that only authorized users can access their own data. We'll use an AI assistant (Claude Code) to simplify this process and discuss security best practices.

In this lesson, you will learn what a webhook is, how it differs from a traditional API, and how to use Replit Agent to quickly prototype a webhook receiver. We'll pay special attention to security aspects, such as validating a secret key and safely processing events.

In this lesson, you will learn how to add idempotency to your webhook receiver to prevent duplicate event processing. We'll look at the Stripe-style approach, use AI tools for prototyping, and understand how to move to a database for production.

In this lesson, you will learn how to build and implement a Rate Limiter in an Express API using Cursor AI. You'll get familiar with the concept of rate limiting, its importance for API protection and reliability, as well as practical examples and deployment considerations.

In this lesson, you will learn how to use Copilot Chat to generate Vitest API tests for your backend services. This ensures code quality and prevents regressions during AI-assisted development.

In this lesson, you will learn how to manage backend errors from the terminal with the help of AI. We'll cover the principles of an effective debugging cycle using Claude Code, so you can resolve issues quickly and accurately.

In this lesson, you will learn how to create Supabase Edge Functions with the help of AI for small backend jobs, such as sending emails. We'll cover the specifics of the Deno runtime, local testing, secure validation, and proper CORS configuration.

In this lesson, you will learn how to move slow backend operations (such as sending emails or AI summarization) into a background queue so that the API request-response cycle stays fast. We'll use Cursor AI to build an in-memory queue prototype and discuss its limitations for production environments.

This lesson shows you how to prepare your backend project for deployment with the help of AI. We'll cover environment variable validation and building a deployment checklist to avoid common mistakes and ensure a professional approach to the production environment.

In this lesson, you will learn how to combine various backend components — authentication, a CRUD API, webhooks, and background queues — into a single, functional demo project using AI tools. We'll cover a phased approach that ensures controlled development and effective testing.