How to Improve Your Coding Speed with AI in Just 2 Hours

As a solo founder or indie hacker, you know the importance of shipping quickly. But what happens when you hit a coding wall? Enter AI tools, which can significantly boost your coding speed. In just 2 hours, you can set yourself up with tools that help you code faster and more efficiently. Here’s how to do it.

Prerequisites: What You Need Before You Start

Before diving into AI tools, make sure you have:

1. Basic Coding Knowledge: Familiarity with at least one programming language (like Python, JavaScript, etc.).
2. A Code Editor: VSCode, Sublime Text, or any IDE you prefer.
3. An Internet Connection: Most tools are cloud-based.
4. Time: Set aside 2 hours for setup and initial usage.

Step 1: Choose Your AI Coding Tools

Here’s a list of AI tools that can enhance your coding speed. Each tool has its unique strengths and weaknesses.

| Tool Name | Pricing | What It Does | Best For | Limitations | Our Take | |--------------------|-------------------------|-------------------------------------------------|---------------------------|-----------------------------------------|-----------------------------------| | GitHub Copilot | $10/mo per user | AI pair programmer that suggests code snippets. | Rapid coding assistance | Limited context understanding. | We use this for quick prototyping.| | Tabnine | Free + $12/mo pro plan | AI code completion tool that learns your style. | Personalized completion | Free tier lacks advanced features. | We prefer it for personalized suggestions.| | Codeium | Free | AI-powered code suggestions and completions. | Beginners and hobbyists | Limited support for some languages. | Great for quick fixes and learning.| | Replit Ghostwriter | Free + $20/mo for pro | AI assistant for coding in Replit environment. | Collaborative coding | Best used within Replit, not standalone.| We use this for collaborative projects.| | Sourcery | Free + $19/mo for pro | AI that reviews and suggests improvements to your code. | Code quality enhancement | Limited language support. | We don't use it often, but it's useful for refactoring.| | Codex by OpenAI | $0.0020 per token | Powerful AI that can generate code from plain text instructions. | Complex coding tasks | Can be expensive with large projects. | We use it for difficult problems.| | Ponic | $15/mo | AI that creates code from user prompts. | Quick prototyping | Requires clear prompts to work well. | We haven't used it yet but plan to. | | Codeium Pro | $12/mo | Advanced AI completions and suggestions. | Experienced developers | Higher learning curve. | We find it useful for enhancing productivity.| | Kite | Free + $19.90/mo for pro| AI-powered code completions for multiple languages.| Multi-language support | Limited to specific IDEs. | We use the free version for quick help. | | LLMs (LangChain) | Pricing varies | Build custom AI models for coding assistance. | Tailored solutions | Requires advanced setup. | Not for beginners, but powerful if set up right.| | IntelliCode | Free | AI-assisted code recommendations in Visual Studio. | Microsoft ecosystem | Limited to Visual Studio. | We use this for .NET projects. |

Step 2: Setting Up Your Tools

1. Install Your Chosen Tools: Start with GitHub Copilot and Tabnine, as they are both great for rapid coding. Install them in your code editor.
2. Connect to Your Repositories: For tools like GitHub Copilot, link it to your GitHub account to access your repositories.
3. Configure Settings: Spend some time adjusting settings to match your coding style and preferences.

Step 3: Practice and Incorporate AI in Your Workflow

1. Start a Small Project: Create a small project (like a to-do app) to test the tools.
2. Use AI Suggestions: As you code, actively use the suggestions provided by the AI tools. Learn to trust their recommendations while also reviewing them critically.
3. Refactor with AI: Use tools like Sourcery to review your code for improvements.

Troubleshooting: What Could Go Wrong

• AI Misunderstands Context: If the suggestions aren’t relevant, try rephrasing your prompt or providing more context.
• Over-reliance on AI: Don’t blindly accept all suggestions; always review the code for quality and security.
• Integration Issues: If a tool doesn’t work with your editor, check for updates or consider alternatives.

What’s Next: Building on Your New Skills

After you've set up and practiced with these AI tools, consider:

• Advanced Projects: Tackle more complex coding tasks.
• Experiment with New Tools: Try out other tools mentioned in this list to see what fits your workflow.
• Join Communities: Engage with other developers using AI tools to share tips and best practices.

Conclusion: Start Here to Boost Your Coding Speed

If you’re serious about improving your coding speed, start with GitHub Copilot and Tabnine. They provide the best balance of immediate value and ease of use. Spend a couple of hours setting them up, and you’ll see a noticeable increase in your productivity.