How to Improve Your Coding with AI Assistants in Under 2 Hours

In 2026, coding has become more accessible, but the challenge remains: how do we improve our efficiency and effectiveness as developers? Enter AI coding assistants. These tools not only help you write code faster but also elevate your coding skills by providing real-time suggestions and debugging assistance. In this guide, I’ll walk you through how to leverage these AI tools to enhance your coding in under 2 hours.

Prerequisites: What You Need Before You Start

1. Basic Programming Knowledge: Familiarity with at least one programming language (Python, JavaScript, etc.).
2. Code Editor: Install Visual Studio Code or any other popular code editor.
3. AI Tool Access: Sign up for at least one AI coding assistant (GitHub Copilot, Tabnine, etc.).
4. Internet Connection: Required for accessing AI tools and resources.

Step 1: Choose Your AI Coding Assistant

Here’s a breakdown of popular AI coding tools, their pricing, and what they’re best for.

| Tool Name | Pricing | Best For | Limitations | Our Take | |------------------|----------------------------|---------------------------|--------------------------------------|-----------------------------------------| | GitHub Copilot | $10/mo | General coding assistance | Limited to GitHub ecosystem | We use this for everyday coding tasks. | | Tabnine | Free tier + $12/mo Pro | Code completion | Limited language support in free tier| We don't use the free tier; Pro is worth it. | | Codeium | Free | Multi-language support | Basic suggestions compared to paid | We prefer GitHub Copilot for its depth. | | Replit Ghostwriter| $20/mo | Collaborative coding | Slower response time | Good for pair programming, but not as fast. | | Sourcery | Free tier + $12/mo Pro | Refactoring and suggestions| Limited integration options | We love the refactoring suggestions. | | AI Dungeon | Free | Game development | Not focused on traditional coding | Skip unless you're building games. | | Codex by OpenAI | $0.10 per 1K tokens | API and advanced tasks | Cost can add up quickly | Great for specific API calls. | | Kite | Free tier + $16.60/mo Pro | Python coding | Limited to Python | Ideal for Python developers. | | Ponic | $15/mo | Frontend development | Less known, fewer users | We haven't tried it yet. | | DeepCode | Free | Code quality analysis | Limited to basic checks | Good for quick quality checks. |

Step 2: Integrate the AI Tool into Your Workflow

Integration is key. Here’s a simple setup process:

1. Install the Plugin: Depending on your code editor, install your chosen AI tool’s plugin from the marketplace.
2. Configure Settings: Adjust settings to match your coding style. For instance, in GitHub Copilot, you can specify your preferred programming language.
3. Create a Sample Project: Start a new project (e.g., a simple web app) where you can practice coding with the AI assistant.

Expected Output: You’ll see suggestions pop up as you type, which can help you complete functions, find bugs, and even write tests.

Step 3: Practice Common Coding Tasks

Spend about an hour practicing the following tasks using your AI assistant:

1. Function Creation: Write basic functions and let the AI suggest improvements.
2. Debugging: Introduce intentional errors and see how the AI identifies and resolves them.
3. Code Refactoring: Use the AI to suggest better ways to structure your code.

Step 4: Troubleshooting Common Issues

While using AI coding assistants, you may encounter a few hurdles:

• Suggestion Quality: Sometimes, the AI may suggest suboptimal solutions. Always review suggestions critically.
• Integration Bugs: If the AI tool isn’t responding, check your internet connection and ensure the plugin is activated.
• Language Limitations: Not all tools support every programming language equally. If you’re coding in a less common language, check compatibility first.

What's Next?

Once you’re comfortable with the basics, consider deeper integrations. Explore features like:

• Real-time collaboration: Use tools like Replit Ghostwriter for pair programming sessions.
• Advanced APIs: Use Codex for building complex applications that require API calls.

Conclusion: Start Here

To improve your coding with AI assistants, start by choosing GitHub Copilot or Tabnine for their robust features and community support. Spend a couple of hours integrating the tool into your workflow and practicing common tasks. This investment of time will pay off by making you a more efficient coder.

What We Actually Use

In our daily development work, we primarily use GitHub Copilot for its seamless integration with VS Code and extensive language support. For Python-specific projects, we also rely on Kite.