How to Increase Your Coding Speed by 50% Using AI in Just 2 Weeks

Let’s face it: coding can sometimes feel like you’re trudging through mud. When deadlines loom, the pressure to crank out more lines of code can be overwhelming. But what if I told you that you could increase your coding speed by 50% in just two weeks using AI tools? Sounds like a stretch? I thought so too, until I took the plunge. In this guide, I'll share the tools that helped me boost my productivity and how you can implement them effectively.

Prerequisites: What You Need to Get Started

Before diving in, here’s what you’ll need:

• Basic Coding Knowledge: Familiarity with at least one programming language.
• An Open Mind: Be ready to adapt your workflow.
• A Budget: Some tools have free tiers, while others require payment. Expect to invest between $0-30/month for effective tools.
• Time Commitment: Set aside about 2 hours each week to integrate these tools into your workflow.

Top AI Tools to Elevate Your Coding Speed

Here’s a rundown of the top AI coding tools that can help you increase your coding speed, complete with pricing, use cases, and limitations.

| Tool | Pricing | Best For | Limitations | Our Take | |-------------------|-----------------------|------------------------------|-------------------------------------------------------------|------------------------------------------------| | GitHub Copilot | $10/mo | Code suggestions & completions | Limited to supported languages (e.g., Python, JavaScript) | We use this for quick code snippets. | | Tabnine | Free tier + $12/mo | Autocompletion | Free tier is limited; may not integrate with all IDEs | We don’t use it because Copilot fits better. | | Replit | Free + $20/mo for Pro | Collaborative coding | Limited offline capabilities; Pro features cost more | Great for team projects but not for solo work.| | Codeium | Free | AI-powered coding assistant | Still in beta; may lack some advanced features | We recommend trying it out for new projects. | | Sourcery | Free + $19/mo | Refactoring & improving code | Focuses mainly on Python; limited language support | Useful for cleaning up messy code. | | AI Dungeon | Free | Generating creative code ideas| Not focused on productivity; more for fun | Skip if you're serious about coding tasks. | | Ponic | $15/mo | Real-time code collaboration | May lag with larger teams; limited integrations | We use this for brainstorming sessions. | | Codex by OpenAI | $20/mo | Generating code from prompts | Requires some setup; not always accurate | We use Codex for generating boilerplate code. | | Katalon | $49/mo | Automated testing | Expensive; overkill for simple projects | Skip unless testing is a major focus. | | Codeium | Free | AI coding assistant | Basic functionality; lacks advanced features | Check it out if you're just starting. | | Tabnine Pro | $12/mo | AI autocomplete | Limited to specific languages; can be hit or miss | Not our primary choice, but worth a look. | | DeepCode | Free | Code review | Limited to certain languages; can miss context | Use for final reviews before deployment. |

What We Actually Use

In our experience, GitHub Copilot, Codex by OpenAI, and Sourcery are our go-to tools. They provide the best balance of functionality and integration, making them indispensable in our daily coding tasks.

Step-by-Step Implementation: Your 2-Week Plan

Week 1: Getting Started with AI Tools

1. Set Up Your Environment:

   • Choose an IDE (like VSCode) that supports your selected AI tools.
   • Install GitHub Copilot and any other tools you've chosen.

2. Experiment with Basic Features:

   • Spend the first few days familiarizing yourself with the tools.
   • Try coding small projects or snippets using AI suggestions.

3. Track Your Time:

   • Use a timer to see how long tasks take without AI assistance versus with it.

Week 2: Deepening Your Integration

1. Focus on Real Projects:

   • Start integrating these tools into your actual work projects.
   • Challenge yourself to code more complex features using AI assistance.

2. Review and Reflect:

   • After two weeks, assess your coding speed and efficiency.
   • Take notes on what worked and what didn’t.

3. Adjust Your Workflow:

   • If a tool isn’t fitting your style, don’t hesitate to try another.
   • Make adjustments based on your experiences and preferences.

Troubleshooting: What Could Go Wrong

• Tool Conflicts: Sometimes, tools may not play nicely together. Stick to a maximum of 2-3 AI tools to avoid conflicts.
• Over-reliance on Suggestions: Don’t let AI do all the thinking. Use it as a guide, but ensure you understand the code being generated.
• Integration Issues: If a tool isn’t integrating well with your IDE, check for updates or consider alternative tools.

Conclusion: Start Here to Boost Your Coding Speed

If you're looking to increase your coding speed, start by integrating GitHub Copilot and Codex by OpenAI into your workflow. Spend two weeks experimenting and refining your approach. You might just find that coding becomes a lot less of a slog and a lot more enjoyable.