How to Use AI Coding Assistants to Boost Your Productivity in 2 Hours

As a solo founder or indie hacker, time is your most precious resource. You want to code faster, but the reality is that many coding tasks take longer than they should. Enter AI coding assistants. These tools can significantly reduce your coding time, but they also come with their own learning curves and limitations. In this guide, I’ll show you how to set up and start using AI coding assistants to boost your productivity in just 2 hours.

Prerequisites: What You Need Before Getting Started

Before diving in, ensure you have the following:

1. Basic Programming Knowledge: Familiarity with at least one programming language.
2. Code Editor: You'll need a code editor such as Visual Studio Code or JetBrains IDE.
3. AI Coding Assistant Account: Sign up for one or more of the following tools (details below).

Step-by-Step Setup: Getting Your AI Coding Assistant Ready

1. Choose Your AI Coding Assistant

There are multiple AI coding assistants available, each with unique features. Here’s a breakdown of some popular options:

| Name | Pricing | Best For | Limitations | Our Take | |---------------------|------------------------|------------------------------------|--------------------------------------|---------------------------------| | GitHub Copilot | $10/month | GitHub users | Limited support for non-GitHub repos | We use this for quick code suggestions. | | Tabnine | Free tier + $12/mo pro | JavaScript and Python developers | Can be inaccurate with complex queries | We don't use this for large projects. | | Codeium | Free | Beginners looking to learn coding | Limited advanced features | We recommend this for new coders. | | Replit | Free tier + $20/mo pro | Collaborative coding sessions | Performance issues with larger projects | We use Replit for team projects. | | Sourcery | Free tier + $19/mo pro | Python developers | Limited to Python only | We use this when working in Python. | | OpenAI Codex | $20/month | General coding tasks | API access can be slow | We don’t use this due to cost. |

2. Set Up Your Environment

• Install the AI Assistant: Follow the installation instructions for your chosen tool. For example, if you opt for GitHub Copilot, install it as an extension in Visual Studio Code.
• Configure Settings: Customize settings based on your preferences. For instance, you might want to enable auto-suggestions or adjust the level of assistance.

3. Start Coding with AI Assistance

• Create a New Project: Start a new project in your preferred programming language.
• Use AI Suggestions: Begin coding and observe how the AI suggests code snippets. For example, if you’re building a web app, type out a function and watch the AI autocomplete it.
• Iterate and Improve: Use the AI's suggestions as a starting point. Modify the code as needed and ask for further assistance if required.

4. Troubleshooting Common Issues

• Inaccurate Suggestions: Sometimes the AI may provide incorrect code. Always review and test the suggestions before implementing them.
• Slow Performance: If the assistant is lagging, check your internet connection or consider closing other resource-heavy applications.

5. What's Next? Expanding Your Use of AI Coding Assistants

Once you're comfortable with the basics, consider integrating your AI assistant into your daily coding workflow:

• Daily Coding Tasks: Leverage the assistant for routine tasks like debugging, writing tests, or generating boilerplate code.
• Learning New Languages: Use the assistant to help you learn new programming languages by providing examples and documentation.

Conclusion: Start Here to Boost Your Productivity

To truly harness the power of AI coding assistants, start with GitHub Copilot or Tabnine, depending on your coding environment. Dedicate the first hour to setting everything up, and spend the second hour navigating through its features while coding a small project.

In our experience, these tools can shave off significant time from your development process, making coding less of a chore and more of a creative endeavor.