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

As a solo founder or indie hacker, you're likely familiar with the grind of coding. It can feel like an endless cycle of debugging, searching for resources, and trying to remember syntax. The good news? In 2026, AI tools have come a long way in helping us code faster and more efficiently. But how do you actually leverage these tools to boost your coding speed in just two hours? Let’s break it down.

Prerequisites: What You Need Before You Start

Before diving into the tools, make sure you have:

• A code editor installed (like VSCode or IntelliJ).
• Basic familiarity with the programming language you’ll be using.
• An account with the AI tools you plan to try (most offer free tiers).

Step 1: Choose the Right AI Coding Tools

Here’s a list of AI tools that can significantly speed up your coding process:

| Tool Name | Pricing | Best For | Limitations | Our Take | |-------------------|---------------------------|-----------------------------------|----------------------------------|------------------------------------| | GitHub Copilot | $10/mo, free tier available | Autocomplete and suggestions | Limited language support | We use this for quick function suggestions. | | Tabnine | Free tier + $12/mo pro | Code completions and snippets | Less effective for complex logic | We don’t use it because Copilot fits our needs better. | | Codeium | Free | AI-powered code completions | May lack in-depth explanations | We’ve found it useful for simple tasks. | | Replit | $0-20/mo | Collaborative coding | Performance issues with large projects | We use this for pair programming sessions. | | Sourcery | $19/mo, free tier available | Code refactoring and optimization | Limited to Python | We use this to clean up our Python code. | | Katalon | $0-20/mo | Automated testing | Steeper learning curve | We don’t use it because we prefer manual tests. | | Codex by OpenAI | $20/mo | Complex problem-solving | Requires good prompts | We’ve tried it for advanced queries. | | AI Dungeon | Free tier + $15/mo pro | Creative coding challenges | Not focused on productivity | We skip this for serious work. | | CodeGPT | $10/mo | General coding assistance | Can sometimes give irrelevant responses | We use it occasionally for brainstorming. | | Ponic | $5/mo | Real-time coding help | Limited language support | We haven’t adopted it yet. |

Step 2: Set Up Your Environment

1. Install the Tools: Depending on your choices, install the relevant plugins or software.
2. Configure Settings: Spend a few minutes adjusting the settings to fit your coding style. For example, set GitHub Copilot to suggest full functions instead of just lines.

Step 3: Create a Sample Project

Now, let’s put these tools to the test. Create a simple project based on your interests—like a personal blog or a task manager. This will give you a real-world scenario to measure your coding speed.

1. Outline Your Project: List out the features you want to implement.
2. Use AI Tools for Each Step:
   • Start with GitHub Copilot for function suggestions.
   • Use Sourcery to refactor your code as you build.
   • Incorporate Codeium to fill in gaps and provide alternatives.

Expected output: A functioning project with basic features implemented.

Step 4: Troubleshooting Common Issues

While working with AI tools, you might encounter some hiccups:

• Irrelevant Suggestions: Sometimes the AI might not understand your intent. If this happens, try rephrasing your comment or prompt.
• Performance Lag: If your code editor becomes slow, consider disabling unnecessary plugins or restarting the editor.

Step 5: What's Next?

Once you’ve completed your project, consider the following steps:

• Iterate: Refine your project based on feedback or personal evaluation.
• Explore Advanced Features: Dive deeper into the capabilities of the AI tools you used.
• Join Communities: Engage with others using these tools to share tips and learn from their experiences.

Conclusion: Start Here

If you're looking to boost your coding speed, start by integrating GitHub Copilot and Sourcery into your workflow. Spend the first hour setting them up and the second hour coding a small project. The combination of these AI tools will help you write code faster and more efficiently than ever before.

What We Actually Use

In our experience, we primarily rely on GitHub Copilot for its autocomplete features and Sourcery for code optimization. This combination suits our needs well without overwhelming us with options.