Build AI Resume Builder with Next.js, React, Hono, Drizzle, Kinde & Postgres

Introduction

In this article, we will guide you through the process of building an advanced AI-powered Resume Builder application using modern web technologies: Next.js for server-side rendering, React for building user interfaces, Hono for creating APIs, Drizzle for database management, Kinde for authentication, and PostgreSQL for our database. The application will allow users to create, manage, and share their resumes in a beautifully designed format. Here's a detailed breakdown of the development process and functionality.

Project Overview

The Resume Builder application will feature:

User Authentication: Users can sign up and log in securely using Kinde.
AI Integration: AI will help generate resume summaries and other content.
Dynamic Resume Management: Users can create, update, delete, and restore resume drafts.
PDF Generation: Resumes can be downloaded as PDF files and shared via unique links.
Light and Dark Themes: Users can switch between light and dark mode for better accessibility.
Mobile Responsiveness: The application will be optimized for both desktop and mobile devices.

Setting Up the Project

Initialize a Next.js Application: Start by creating a new Next.js app along with TypeScript support.
```
npx create-next-app@latest --typescript
```
Install Required Dependencies: Install essential libraries like Drizzle for database, Kinde for authentication, and styling components.
```
npm install drizzle-orm hono kinde react-icons
```
Set Up PostgreSQL Database: Use Drizzle to connect to PostgreSQL and manage the database schema which includes tables for user resumes, personal information, skills, and experience.
Develop Authentication Flow: Integrate Kinde for user authentication with endpoints for signing up and logging in.

User Interface

The application's UI will be built using React components:

Resume Form: Contains fields for personal information, experience, and skills. Each section will dynamically update as the user inputs their data.
Preview Section: Renders a live preview of the resume that updates in real-time as users type.
Buttons for Actions: Include buttons for saving the resume, downloading it as a PDF, and switching themes.

API Development

Using Hono, create an API for managing documents:

GET /documents: Fetch all resumes associated with the logged-in user.
POST /documents/create: Create a new resume entry.
PATCH /documents/:id: Update an existing resume.

Implementing AI Features

Utilizing AI, the application will help suggest content for resume summaries and job descriptions based on user input.

Deployment and Final Steps

Once development is complete and all functionalities are thoroughly tested, the application can be deployed using a platform like Vercel. This step will involve:

Environmental Variables setup for secure API keys.
Building the Application for production.
Deploying to Vercel for live usage.

Keywords

Resume Builder
Next.js
React
Hono
Drizzle
Kinde
PostgreSQL
AI Integration
User Authentication
PDF Download
Dark Mode

FAQ

Q1: What technologies are used in building the Resume Builder?
A1: The Resume Builder is built using Next.js, React, Hono, Drizzle, Kinde, and PostgreSQL.

Q2: How does authentication work in the application?
A2: User authentication is handled by Kinde, where users can sign up and log in securely.

Q3: Can users download their resumes in PDF format?
A3: Yes, users can download their resumes as PDF files.

Q4: Is the application mobile-friendly?
A4: Yes, the application is optimized for both desktop and mobile devices.

Q5: What AI features are included in the Resume Builder?
A5: AI features include generating content for resume summaries and suggesting job descriptions based on user input.

Build AI Resume Builder with Next.js, React, Hono, Drizzle, Kinde & Postgres | PDF Download 1/2