How to Improve Your Coding Speed Using AI in Just 30 Days

If you're a solo founder or indie hacker, you're probably juggling multiple roles, and coding speed is crucial. The problem is, traditional coding practices can feel painfully slow, especially when you’re under pressure to ship quickly. Enter AI coding tools—these can drastically speed up your coding process, but how do you implement them effectively? In this guide, I'll show you how to improve your coding speed using AI in just 30 days.

The AI Coding Tools You Need

Before diving into the specifics, let’s review some AI tools that can help you code faster. Here’s a list of tools that I've found helpful, along with their pricing and limitations:

| Tool Name | Pricing | Best For | Limitations | Our Take | |--------------------|-----------------------------|-------------------------------|--------------------------------------|----------------------------------------| | GitHub Copilot | $10/mo per user | Code completion and suggestions | Limited language support | We use this for autocomplete and it saves us time. | | Tabnine | Free tier + $12/mo pro | Code snippets and completions | Can be hit-or-miss with complex code | We don’t use this much due to mixed results. | | Codeium | Free | AI code suggestions | Requires an internet connection | We like it for quick fixes and suggestions. | | Replit | Free tier + $20/mo pro | Real-time collaboration | Limited to browser-based coding | Great for pair programming, but not as powerful as local IDEs. | | Sourcery | Free tier + $12/mo pro | Code reviews and improvements | Limited support for some languages | We find it useful for improving existing code. | | KITE | Free | Code completions | No longer actively developed | We stopped using it as it wasn’t updated. | | Codex by OpenAI | $0.002 per token | Advanced code generation | Can be expensive for large projects | We use it for generating boilerplate code. | | Jupyter Notebook | Free | Data science and prototyping | Not ideal for production code | We use it for prototyping, but not for final products. | | ChatGPT | Free tier + $20/mo for Plus| General coding assistance | Can give incorrect outputs | We use it for brainstorming and debugging ideas. | | CodeSandbox | Free tier + $9/mo for pro | Frontend development | Limited backend support | Excellent for quick frontend prototypes. | | SnippetsLab | $19.99 one-time | Code snippet management | Mac only | Great for organizing snippets, but lacks cross-platform support. | | AI Buddy | Free + $50/mo for premium | Personalized coding help | Can be slow to respond | We don't use it as much due to response time. | | Ponic | Free | UI design integration | Limited coding capabilities | We use it occasionally for design assistance. | | Codeium | Free | AI code suggestions | Requires an internet connection | We like it for quick fixes and suggestions. | | Compiler Explorer | Free | Understanding code execution | Not interactive | We use it to understand how our code runs. |

What We Actually Use

In our experience, GitHub Copilot and Codeium are the standout tools for improving coding speed. They give you instant code suggestions and can help you avoid common pitfalls.

Step-by-Step Plan to Improve Coding Speed

Week 1: Familiarize with Tools

Start by spending the first week trying out different AI coding tools. Focus on GitHub Copilot and Codeium. Set aside at least 30 minutes daily to explore their features.

Expected Output: By the end of the week, you should have a solid grasp of how each tool works and which features you find most beneficial.

Week 2: Integrate AI into Your Workflow

Begin integrating these tools into your daily coding tasks. For instance, use GitHub Copilot for writing functions and Codeium for debugging.

Expected Output: You should notice a decrease in the time taken to write and debug code. Aim to reduce your usual coding time by at least 20%.

Week 3: Optimize Your Use of AI

At this stage, start customizing the settings of your AI tools. Explore how to adjust their suggestions based on your coding style.

Expected Output: You should be coding with more confidence, relying on AI suggestions to speed up your workflow. Aim for another 10-15% reduction in coding time.

Week 4: Reflect and Adjust

In the final week, take a moment to reflect on what’s working and what isn’t. Adjust your use of tools based on your coding needs.

Expected Output: You should have a personalized setup that maximizes your coding speed.

Troubleshooting Common Issues

• Tool Conflicts: Sometimes, tools may conflict or slow down your IDE. If you experience this, try disabling one tool at a time to identify the culprit.
• Inaccurate Suggestions: If the AI suggests incorrect code, take the time to double-check and learn from it rather than blindly accepting the suggestion.

What's Next

After you’ve improved your coding speed, consider exploring more advanced AI tools like Codex for generating larger codebases or diving into machine learning for smarter code recommendations.

Conclusion: Start Here

To improve your coding speed in just 30 days, start by integrating GitHub Copilot and Codeium into your workflow. Dedicate time each week to familiarize yourself, integrate, and optimize these tools. By the end of the month, you should be coding significantly faster and more efficiently.