How to Build Your First Project with AI Coding Tools in 30 Days

If you’re a new developer looking to build your first project, the sheer number of AI coding tools available today can feel overwhelming. You might be wondering, “Where do I even start?” or “Which tools are really worth my time?” Trust me, I’ve been there. In this guide, I’ll break down a practical, step-by-step approach to leveraging AI coding tools to build your first project in just 30 days.

Week 1: Defining Your Project

1. Choose a Simple Project Idea

Start by brainstorming project ideas that excite you but are simple enough to complete in 30 days. Think of a personal website, a task manager, or a simple game. The key here is to keep it manageable.

2. Set Clear Goals

Define what you want to achieve by the end of the month. Is it to learn a new programming language? To deploy something live? Write down your goals.

Week 2: Tool Selection

3. Research AI Coding Tools

Here’s a list of AI coding tools that can help you along the way. I’ve included what each tool does, pricing, and our take on them.

| Tool Name | Pricing | What It Does | Best For | Limitations | Our Take | |-------------------|------------------------|--------------------------------------------------|-----------------------------|--------------------------------------|--------------------------------| | GitHub Copilot | $10/mo | AI-powered code suggestions in your IDE. | Code completion & guidance | May suggest inefficient code | We use it for quick fixes. | | Codeium | Free + $20/mo for Pro | AI code generation and completion. | Rapid prototyping | Limited languages in free tier | Great for fast iterations. | | Replit | Free tier + $20/mo Pro| Collaborative coding environment. | Team projects | Performance issues with large apps | We use it for collaboration. | | Tabnine | Free + $12/mo Pro | AI code completions based on your coding style. | Personalized coding | Free tier is very limited | It's good but not essential. | | ChatGPT | Free + $20/mo Pro | Conversational AI for coding questions. | Debugging and learning | Less effective for complex code | I rely on it for explanations. | | Ponic AI | $29/mo | AI that helps write and debug code. | Debugging | Limited language support | Not as versatile as others. | | Codex | $15/mo | AI model for generating code from natural language.| Generating specific functions| Requires good prompts | It’s powerful but tricky. | | Sourcery | Free + $10/mo Pro | Code improvement suggestions in real-time. | Code quality enhancement | Limited to Python | A must for Python devs. | | Glitch | Free + $8/mo Pro | Build and host web apps collaboratively. | Rapid web app development | Limited to web technologies | Great for quick projects. | | DeepCode | Free + $19/mo Pro | AI-powered code review tool. | Code quality checks | Limited to certain languages | Useful for peer reviews. |

4. Choose Your Stack

Based on your project idea and the tools above, choose your tech stack. For a web app, you might go with JavaScript and Node.js, using GitHub Copilot and Replit for development.

Week 3: Development Phase

5. Set Up Your Development Environment

Sign up for the tools you chose and set up your development environment. If you’re using Replit, create a new project, and if you’re using GitHub Copilot, install it in your IDE.

6. Start Coding

Begin coding your project! Use the AI tools to help you with code snippets, debugging, and learning new concepts. Don’t hesitate to ask questions to ChatGPT when you’re stuck.

7. Regular Check-ins

Set aside time each day to review your progress. Adjust your goals if needed, based on what you’ve learned.

Week 4: Testing and Deployment

8. Testing Your Project

Once your project is built, it’s time to test it thoroughly. Use tools like Sourcery for code quality checks. Make sure to fix any bugs you encounter.

9. Deploy Your Project

Deploy your project using platforms like Vercel or Heroku (both have free tiers). This will give you the experience of taking your project live.

10. Gather Feedback

Share your project with friends or on platforms like Reddit or Twitter. Gather feedback and iterate based on the suggestions you receive.

Conclusion: Start Here

Building your first project with AI coding tools doesn’t have to be daunting. Follow this structured approach over the next 30 days, and you’ll not only have a finished project but also a wealth of knowledge and experience. Start by defining your project, selecting the right tools, and committing to daily progress.

What We Actually Use

In our experience, we rely heavily on GitHub Copilot for code suggestions, Replit for collaboration, and ChatGPT for troubleshooting. This combination has worked wonders for our projects.