Ai Coding Tools

How to Write Code Faster Using AI in 2 Hours

By BTW Team4 min read

How to Write Code Faster Using AI in 2 Hours

In 2026, coding is not just about understanding syntax and logic; it’s about leveraging tools that can help you write code faster and more efficiently. As indie hackers and solo founders, time is our most valuable resource. If you’re still grinding through lines of code manually, you’re missing out on the advantages AI coding tools can offer. Let's dive into how you can integrate AI into your coding workflow in just two hours.

Prerequisites: What You Need Before Starting

Before you jump into AI coding tools, ensure you have:

  • A basic understanding of programming languages (JavaScript, Python, etc.)
  • An IDE (Integrated Development Environment) like Visual Studio Code or JetBrains
  • Accounts for AI coding tools you plan to use (most offer free trials or tiers)
  • A project in mind where you want to implement AI assistance

Step-by-Step: Integrating AI Coding Tools

Step 1: Choose Your AI Coding Tools

Here’s a list of AI coding tools that can help you code faster:

| Tool Name | Pricing | What It Does | Best For | Limitations | Our Take | |--------------------|--------------------------|------------------------------------------------|--------------------------------|------------------------------------------|----------------------------------| | GitHub Copilot | $10/mo, free trial | AI pair programming tool for code suggestions | General coding | Limited to supported languages | We use it for quick suggestions. | | Tabnine | Free tier + $12/mo pro | AI-powered code completion | JavaScript, Python, Java | May miss context in larger projects | Great for autocomplete features. | | Codeium | Free | AI code completion and suggestions | Various languages | Still in beta, occasional inaccuracies | We like its free offering. | | Replit Ghostwriter | $20/mo | AI-powered coding assistant in Replit | Collaborative coding | Limited to Replit platform | Good for team projects. | | Sourcery | Free tier + $19/mo pro | AI code review and suggestions | Python | Limited language support | Useful for improving code quality.| | Kodezi | $29/mo | AI code explanation and debugging | Python, JavaScript | Limited to certain frameworks | Excellent for learning. | | Codex by OpenAI | $0-100/mo (usage-based) | Natural language to code conversion | Any coding task | Cost can escalate with usage | Powerful but pricey. | | Ponic | Free | AI-powered code generation | Simple scripts | Basic features only | Good for small tasks. | | ChatGPT | Free tier + $20/mo pro | Conversational AI for coding queries | Troubleshooting, learning | Not always accurate for specific tasks | We use it for brainstorming. | | DeepCode | $19/mo | AI code review for vulnerabilities | Security-focused developers | Focuses mainly on security | Essential for secure coding. |

Step 2: Set Up Your Environment

  1. Install Your IDE: If you don’t already have one, download and install an IDE like Visual Studio Code.
  2. Integrate AI Tools: Follow the setup guides for each AI tool you choose. Most tools will have plugins/extensions for your IDE.
  3. Create a New Project: Start a new coding project in your IDE where you can apply AI suggestions.

Step 3: Start Coding with AI Assistance

  1. Begin Writing Code: As you start coding, pay attention to AI suggestions. For example, if you’re working on a function, type the first few lines, and see what GitHub Copilot or Tabnine suggests.
  2. Refine Your Code: Use tools like Sourcery to review your code as you write, ensuring you maintain quality while speeding up the process.
  3. Ask for Explanations: If you’re stuck or unsure about a piece of code, use ChatGPT or Kodezi to get explanations or debugging help.

Expected Outputs

By the end of this two-hour session, you should have:

  • A working piece of code with AI-generated suggestions and improvements.
  • A better understanding of how to leverage AI tools in your coding process.
  • A more efficient workflow that saves you time on repetitive tasks.

Troubleshooting: What Could Go Wrong

  • Inaccurate Suggestions: Sometimes, AI tools might suggest code that doesn’t quite fit your needs. Be prepared to tweak these suggestions.
  • Integration Issues: If a tool doesn’t integrate smoothly with your IDE, check the documentation or community forums for help.
  • Learning Curve: You might not get the hang of using AI tools immediately. Don’t get discouraged—keep experimenting.

What's Next: Building on Your AI Skills

After you’re comfortable with AI code assistance, consider:

  • Exploring more advanced features of the tools you’re using.
  • Experimenting with additional AI tools to find the best combination for your workflow.
  • Sharing your experiences and findings with the community, possibly on platforms like Built This Week.

Conclusion: Start Here

If you're serious about speeding up your coding process, start by integrating GitHub Copilot and Tabnine into your workflow. They offer solid foundations for both beginners and seasoned developers, making coding faster and more enjoyable. Remember, the key is to find the right mix of tools that fit your specific needs.

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