How to Improve Coding Speed with AI in Under 2 Hours

As a solo founder or indie hacker, time is your most precious resource. The faster you can code, the quicker you can ship features, fix bugs, and ultimately grow your project. In 2026, AI coding tools have come a long way, making it possible to significantly speed up your coding process. But with so many options out there, which tools actually make a difference? Let's dive into how you can improve your coding speed using AI tools in under two hours.

Prerequisites: What You Need Before You Start

Before diving in, make sure you have the following:

• A code editor: VSCode is a great choice (free).
• An active GitHub account: You’ll want to connect some tools to your repositories.
• Familiarity with your programming language: This guide assumes you have basic coding knowledge.

Step 1: Choose Your AI Tools Wisely

Here’s a list of AI tools that can help you improve your coding speed, along with what they do, pricing tiers, and our honest take on each.

| Tool Name | What It Does | Pricing | Best For | Limitations | Our Take | |----------------------|------------------------------------------------------|------------------------------|---------------------------------|------------------------------------------------|---------------------------------------| | GitHub Copilot | AI pair programmer that suggests code as you type. | $10/mo per user | Quick code suggestions | Limited to supported languages | We use this for fast prototyping. | | Tabnine | AI code completion tool that learns from your code. | Free tier + $12/mo pro | Customizing suggestions | Can be less effective with less-used languages | We use this for personalized completions. | | Replit | Online IDE with collaborative features and AI support.| Free + $20/mo for pro | Collaborative coding sessions | Limited to online use, less control over env. | Great for team projects, but not my go-to. | | Codeium | AI-driven code completion tool with multilingual support. | Free, paid plans starting at $10/mo | Multilingual projects | Still in beta, can be buggy | We don’t use it because of stability issues. | | Sourcery | Provides real-time feedback on code quality and suggestions. | Free tier + $15/mo pro | Improving code quality | Not all languages supported | We tried it but found it not essential. | | AI Dungeon | Text-based AI that can help brainstorm code ideas. | Free, $10/mo for premium | Creative coding approaches | Not directly code-related | Fun to use, but not practical for daily coding. | | Codex | An OpenAI tool that generates code from natural language prompts. | $20/mo per user | Generating boilerplate code | Can produce incorrect code | We use this for generating templates. | | Ponic | AI tool for generating code snippets based on context. | Free, $15/mo for pro | Snippet generation | Limited to simple tasks | We don’t use it because of its simplicity. | | DeepCode | AI code review tool that highlights potential bugs. | Free for open-source, $25/mo for private | Code quality checks | Sometimes misses edge cases | We use this for our open-source projects. | | CodeGuru | Amazon's AI tool for code reviews and performance suggestions. | $19/mo per user | AWS-based projects | Limited to Java and Python | We don’t use it due to language restrictions. |

What We Actually Use

In our stack, we primarily rely on GitHub Copilot and Tabnine for coding assistance. They help us code faster while maintaining quality. For code quality checks, DeepCode is a reliable tool we recommend.

Step 2: Set Up Your Tools

1. Install GitHub Copilot:

   • Visit the GitHub marketplace and install Copilot.
   • Follow the setup instructions.
   • You can start coding right away and see suggestions pop up.

2. Integrate Tabnine:

   • Download the Tabnine plugin for your code editor.
   • Customize the settings based on your coding style.

3. Set Up DeepCode:

   • Connect it to your GitHub account.
   • Start a new project to see real-time code reviews.

Step 3: Optimize Your Workflow

• Use Keyboard Shortcuts: Familiarize yourself with keyboard shortcuts for each tool to maximize efficiency.
• Combine Tools: Use multiple tools simultaneously; for example, Copilot for suggestions and DeepCode for code quality checks.
• Regularly Review Suggestions: Don’t just accept every suggestion; review them to ensure they fit your coding style and project needs.

Troubleshooting: What Could Go Wrong

• Over-reliance on AI: It’s easy to become dependent on suggestions. Make sure to validate code logic yourself.
• Integration Issues: Sometimes, tools may conflict. If you encounter bugs, try disabling one tool at a time to identify the issue.

What’s Next?

After improving your coding speed with AI tools, consider exploring more advanced features like automated testing or integrating CI/CD pipelines. This will further streamline your development process.

Conclusion: Start Here

To improve your coding speed effectively, focus on integrating GitHub Copilot and Tabnine into your workflow. Spend about two hours setting them up and customizing them to your liking. With these tools, you’ll find yourself coding faster and with greater confidence.