How to Write Better Code Faster: 30-Minute Guide with AI Tools

As indie hackers and solo founders, we often find ourselves juggling multiple roles—developer, marketer, and product manager, just to name a few. Writing code efficiently becomes crucial, especially when you're on a tight timeline. The good news? AI tools have come a long way in helping us write better code faster. In this guide, I’m going to share a selection of AI coding tools that can streamline your workflow while being mindful of your budget.

Prerequisites

Before diving into the tools, here’s what you need:

• Basic understanding of programming (Python, JavaScript, etc.)
• An IDE (Integrated Development Environment) like VSCode or JetBrains
• An internet connection for cloud-based tools

Time Estimate

You can set up and start using these AI tools in about 30 minutes.

AI Coding Tools to Write Better Code

Here’s a list of AI tools that can help you write code faster and better, along with their pricing and limitations.

| Tool | Pricing | Best For | Limitations | Our Take | |------------|-------------------------------|------------------------------------|---------------------------------|----------------------------------------| | GitHub Copilot | $10/mo per user | Autocompletion and suggestions | Limited to supported languages | We use this for quick code suggestions. | | Tabnine | Free tier + $12/mo Pro | AI-powered code completion | Can be less accurate than Copilot| We found it helpful but prefer Copilot for integration. | | Replit | Free tier + $7/mo Pro | Collaborative coding | Performance can lag with big projects | We use it for quick prototyping. | | Codeium | Free | Code suggestions and documentation | Limited to fewer languages | Great for occasional use, but not our main tool. | | Sourcery | Free tier + $20/mo Pro | Code review and refactoring | Limited to Python | We don’t use it as we focus on JavaScript. | | DeepCode | Free + $19/mo for teams | Code analysis and bug detection | Limited language support | We don’t use it; better for larger teams. | | ChatGPT | Free + $20/mo for Pro | General coding assistance | Not code-specific | We use it for brainstorming and explanations. | | Codex | $0-100/mo based on usage | API integration and automation | Requires API knowledge | Good for advanced users; we don’t use it. | | CodeSandbox| Free tier + $9/mo Pro | Rapid prototyping | Limited offline capabilities | Great for quick demos and testing. | | JupyterLab | Free | Data science and interactive coding | Steeper learning curve | We use it for data manipulation; not for all projects. | | AI Dungeon | Free + $5/mo for premium | Creative coding scenarios | Not focused on professional coding| Fun for side projects, but not practical. | | AIDevTools | Free + $15/mo Pro | Project management and tracking | Newer tool, still gaining features | We haven’t tried it yet but it looks promising. | | CodeGuru | $19/mo per user | Performance improvement suggestions | Limited to Java | We don’t use it due to language constraints. | | Codeium | Free + $20/mo for Pro | General coding assistance | Limited language support | We use it for quick tasks, but not as our main tool. |

What We Actually Use

In our experience, GitHub Copilot and Tabnine are at the top of our stack for code completion. We also rely on Replit for collaborative coding and quick prototypes. For brainstorming, ChatGPT is invaluable.

Recommended Workflow Using AI Tools

1. Set Up Your Environment: Install your preferred IDE and any plugins for the AI tools you’re using (e.g., GitHub Copilot).
2. Start Coding: Begin writing your code. As you type, the AI will suggest completions and improvements.
3. Review and Refactor: Use Sourcery or DeepCode to analyze your code for potential improvements.
4. Collaborate: If you’re working with others, leverage Replit to share and edit code in real-time.
5. Test and Iterate: Use tools like CodeSandbox to quickly test your code in different environments.

Troubleshooting Common Issues

• AI Suggestions Are Off: If you find that the AI tool is not suggesting relevant code, consider tweaking your input or providing more context.
• Performance Lags: This can happen with cloud-based tools; try using desktop versions or checking your internet connection.

What’s Next?

Once you’re comfortable with these tools, consider diving deeper into AI-based code generation or even exploring advanced integrations with APIs for more automation in your projects.

Conclusion

Writing better code faster is not just about tools; it's about integrating them into your workflow effectively. Start with GitHub Copilot or Tabnine, and expand your toolkit with the other options as you identify your specific needs.