How to Get Started with AI Coding Assistants in Under 2 Hours

If you're a solo founder or an indie hacker, you might be wondering how to leverage AI coding assistants to speed up your development process. Maybe you've heard buzzwords floating around Twitter, but you want something practical and actionable. The good news is that you can dive into AI coding assistants in under two hours. Let's break down how to get started, including the tools you'll need, their pricing, and what actually works based on our experience.

Prerequisites: What You Need Before You Start

1. Basic Coding Knowledge: Familiarity with at least one programming language (Python, JavaScript, etc.).
2. Code Editor: Install a code editor like Visual Studio Code or JetBrains IDE.
3. Account Setup: Create accounts for the AI coding tools you want to use (some may require payment).

Step-by-Step Guide to Getting Started

1. Choose Your AI Coding Assistant

Here’s a list of 12 AI coding assistants, each with its own strengths and weaknesses. We’ve included a comparison table to help you decide.

| Tool Name | Pricing | Best For | Limitations | Our Take | |-------------------|----------------------------|-----------------------------------|---------------------------------------|-----------------------------------| | GitHub Copilot | $10/mo (free trial available) | Quick code suggestions | Limited to GitHub ecosystem | We use this for rapid prototyping. | | Tabnine | Free tier + $12/mo Pro | JavaScript and Python development | Less effective with niche languages | Great for common coding tasks. | | Replit AI | Free tier + $20/mo Pro | Collaborative coding | Limited offline capabilities | We love it for pair programming. | | Codeium | Free | Beginners needing guidance | Basic features in free version | Use it for learning new concepts. | | Kite | Free tier + $19.90/mo Pro | Python development | No support for languages outside Python| We don't use this because of limited language support. | | Sourcery | Free + $12/mo Pro | Refactoring existing code | Can be too opinionated | We use it to clean up our codebase.| | OpenAI Codex | $20/mo (API usage billed separately) | Complex code generation | Requires more setup | Use this for advanced projects. | | Codex AI | $29/mo (no free tier) | Full-stack development | Higher cost | We don’t use this due to pricing. | | AI Dungeon | Free with in-game purchases | Game development | Not focused on traditional coding | Fun for game dev, but not practical. | | Codex.ai | $15/mo | API integrations | Limited to API calls | Useful for API-heavy projects. | | Ponicode | Free + $12/mo Pro | Unit testing | Limited language support | Great for ensuring quality code. | | DeepCode | Free tier + $30/mo Pro | Static code analysis | Can be overwhelming for beginners | We don’t use this due to complexity. |

2. Install Your Chosen Tool

Once you've picked a tool, follow the installation and setup instructions provided by the tool’s website. For example, if you choose GitHub Copilot, you can install it as an extension in Visual Studio Code.

3. Start Coding with AI

Begin a new project or open an existing one in your code editor. Start typing your code, and the AI will provide suggestions. For instance, if you’re using GitHub Copilot, you might type a function name, and it will suggest the complete function body.

4. Experiment and Iterate

Take time to experiment with different prompts and requests. The more you interact with the AI, the better it understands your coding style. Keep refining your code based on the suggestions provided.

5. Troubleshooting: What Could Go Wrong

• Issue: Tool not providing relevant suggestions.

  • Solution: Try rephrasing your prompt or adding more context.

• Issue: Tool integration issues.

  • Solution: Double-check your installation steps and ensure you have the right permissions.

6. What’s Next?

Once you’re comfortable using AI coding assistants, consider integrating them into your regular workflow. You can also explore advanced features like custom models or API integrations, depending on your tool of choice.

Conclusion: Start Here

If you’re just getting started with AI coding assistants, I recommend starting with GitHub Copilot for its seamless integration and broad language support. It’s beginner-friendly and offers a free trial, so you can test it out before committing to a subscription.

In summary, you can get up and running with AI coding assistants in under two hours by choosing the right tool, installing it, and starting to code. With the right approach, these tools can significantly boost your productivity.