How to Build a Simple API Using AI Coding Tools in Under 2 Hours

Building a simple API might sound like a daunting task, especially if you’re a solo founder or indie hacker with limited coding experience. But with the rise of AI coding tools in 2026, you can get this done in under two hours—yes, really! I’ve been there, struggling with initializing projects and debugging, but the right tools can change the game. In this article, I’ll walk you through the process and share the tools we actually use to make it happen.

Prerequisites: What You Need Before You Start

Before diving in, make sure you have:

1. Basic understanding of APIs: Knowing what an API is and how it functions will help.
2. An account on a code editor platform: We recommend using GitHub Codespaces or Replit.
3. Familiarity with JavaScript or Python: Most AI coding tools support these languages.
4. AI coding tool: We’ll use a few AI coding assistants like GitHub Copilot and Tabnine.

Step 1: Choose Your AI Coding Tool

You have several options when it comes to AI coding tools. Here’s a breakdown of some popular ones:

| Tool Name | What It Does | Pricing | Best For | Limitations | Our Take | |------------------|--------------------------------------------|-----------------------------|-------------------------------|-------------------------------------|-----------------------------------------| | GitHub Copilot | AI-powered code completion and suggestions | $10/mo per user | JavaScript, Python projects | Limited to supported languages | We use this for quick code suggestions. | | Tabnine | AI code completion across multiple languages| Free tier + $12/mo Pro | Various languages | Less context-aware than Copilot | We don’t use this because of its limitations. | | Codeium | AI code completions with a free plan | Free, $19/mo for pro | Beginners in coding | Limited integrations | We use this for basic projects. | | Replit AI | Integrated AI for coding in Replit | Free, $20/mo for Pro | Collaborative coding | Only works within Replit | Great for quick prototyping. | | AI21 Studio | AI text generation for code documentation | Free tier + $30/mo | Documenting APIs | Not a coding tool per se | We use this for documentation purposes. | | Ponicode | AI testing assistant for code | $0-29/mo based on usage | Automated testing | Limited to testing scenarios | We don’t use this, prefer manual testing.| | Sourcery | AI for Python code quality improvement | Free, $12/mo for Pro | Python code optimization | Only for Python | We use this for maintaining code quality. | | Codex by OpenAI | General-purpose AI for coding tasks | $0.0015 per token | Various coding tasks | Cost can add up quickly | We use this for complex logic tasks. | | ChatGPT | Conversational AI for coding help | Free, $20/mo for Plus | Debugging and explanations | Slower response times | We use this for brainstorming ideas. |

Step 2: Set Up Your Environment

1. Open your code editor: For this tutorial, let’s use GitHub Codespaces.
2. Create a new repository: Name it something relevant like simple-api-example.
3. Initialize your project: Use npm init for JavaScript or pip for Python to set up your environment.

Step 3: Write the API Code

Using your chosen AI tool, start coding your API. Here’s a simple example of a REST API in JavaScript using Express:

const express = require('express');
const app = express();
const PORT = process.env.PORT || 3000;

app.get('/api/hello', (req, res) => {
    res.json({ message: 'Hello, World!' });
});

app.listen(PORT, () => {
    console.log(`Server running on port ${PORT}`);
});

Expected Output

When you run this code, you should see your API responding with a JSON message when you hit the /api/hello endpoint.

Step 4: Test Your API

1. Use Postman or Insomnia: These tools are great for testing your API endpoints.
2. Make a GET request to /api/hello: You should receive a response like { "message": "Hello, World!" }.

What Could Go Wrong

• Port conflicts: If another application is using the same port, change the port number in your code.
• Missing dependencies: Ensure you have installed all necessary packages, like express.

Step 5: Deploy Your API

You have several options for deployment:

| Deployment Tool | What It Does | Pricing | Best For | Limitations | Our Take | |------------------|--------------------------------------------|-----------------------------|-------------------------------|-------------------------------------|-----------------------------------------| | Vercel | Serverless deployment for APIs | Free tier + $20/mo | Frontend apps with backend | Limited to serverless functions | We use this for front-end projects. | | Heroku | Easy deployment for apps | Free tier + $7/mo | Quick backend setups | Limited free tier resources | We don’t use this due to scaling issues. | | DigitalOcean App Platform | Full-fledged app hosting | $5/mo and up | Full-stack applications | More complex setup | We use this for more complex deployments. | | Render | Automated deployments for web apps | Free tier + $7/mo | Quick backend setup | Limited to specific frameworks | We use this for projects needing speed. |

What's Next

Now that you have a simple API up and running, consider adding features like authentication, a database connection, or even integrating third-party APIs. Each of these steps can be tackled with the same AI coding tools we discussed.

Conclusion: Start Here

For indie hackers and solo founders, using AI coding tools can significantly speed up the process of building an API. Start with GitHub Copilot for code suggestions, and consider Vercel for deployment. This approach allows you to focus on building your product rather than getting bogged down in the details.

Ready to get started? Dive into your coding environment and see how quickly you can build your first API!