Ai Coding Tools

How to Use GitHub Copilot to Speed Up Your Development by 50% in 30 Days

By BTW Team4 min read

How to Use GitHub Copilot to Speed Up Your Development by 50% in 30 Days

If you're like most indie hackers and solo founders, you probably feel the pressure to ship products quickly while maintaining quality. The challenge is real: coding can take forever, and every minute counts. What if I told you that you could potentially speed up your development process by 50% in just 30 days using GitHub Copilot? This AI-powered coding assistant has been a game-changer for many developers, including us. But it’s not magic; it requires a strategic approach. Let’s dive in.

Prerequisites: What You Need to Get Started

Before you dive into using GitHub Copilot, here's what you'll need:

  • GitHub Account: You need an active account to access Copilot.
  • Visual Studio Code (VSCode): Copilot is primarily integrated with VSCode.
  • Copilot Subscription: As of June 2026, Copilot costs $10/month or $100/year after a free trial.
  • Basic Programming Knowledge: Familiarity with at least one programming language is essential.

Step 1: Setting Up GitHub Copilot in VSCode

Setting up GitHub Copilot is straightforward. Here’s how to do it:

  1. Install Visual Studio Code: Download and install VSCode from the official website.
  2. Install GitHub Copilot Extension: Go to the Extensions view in VSCode (Ctrl+Shift+X), search for "GitHub Copilot," and click "Install."
  3. Sign In: Once installed, you'll need to sign in with your GitHub account to activate Copilot.

Expected Output: After installation, you should see Copilot suggestions as you code.

Step 2: Learning to Leverage Suggestions

Copilot offers contextual suggestions based on the code you write. Here’s how to make the most of it:

  • Start with Comments: Write comments to describe what you want to accomplish. For example, // Function to calculate the Fibonacci sequence can yield a complete function.
  • Refine Suggestions: Use the arrow keys to scroll through multiple suggestions. Pick the one that fits best and modify it as needed.

Expected Output: You should notice a significant reduction in the amount of boilerplate code you write.

Step 3: Incorporate Copilot into Your Workflow

To truly speed up your development, integrate Copilot into your daily workflow:

  • Pair Programming: Treat Copilot like a coding partner. Talk through your logic and let Copilot suggest alternatives.
  • Use for Code Reviews: When reviewing code, use Copilot to suggest improvements or alternative approaches.

Expected Output: Increased productivity and potentially fewer bugs due to the AI's suggestions.

Step 4: Measure Your Efficiency Gains

Tracking your progress is crucial. Here’s how to do it:

  • Set Baseline Metrics: Before you start using Copilot, measure how long it takes to complete tasks (e.g., building a feature).
  • Track Time: Use a tool like Toggl to log the time spent coding with and without Copilot.

Expected Output: After 30 days, compare the metrics to see if you’ve achieved a 50% increase in speed.

Troubleshooting Common Issues

While GitHub Copilot is powerful, you may encounter some hiccups:

  • Inaccurate Suggestions: Sometimes, Copilot suggests code that doesn’t fit your use case. Always review suggestions critically.
  • Language Limitations: Copilot excels in popular languages like JavaScript and Python but may struggle with niche languages.

What To Do: If you find Copilot isn’t meeting your needs, consider reporting feedback directly through the extension to help improve its accuracy.

What's Next: Building on Your Gains

Once you've mastered Copilot, consider exploring these related tools to further enhance your development speed:

| Tool Name | What It Does | Pricing | Best For | Limitations | Our Take | |------------------------|------------------------------------|---------------------------|----------------------------|--------------------------------------------|-------------------------------------| | GitHub Copilot | AI code suggestions in VSCode | $10/mo | Quick coding assistance | Sometimes inaccurate suggestions | Essential for speed | | Tabnine | AI-powered code completion | Free tier + $12/mo pro | Multi-language support | May lack context in complex projects | Useful for team environments | | Codeium | AI code assistant | Free | Open-source projects | Limited integrations | Great for budget-conscious builders | | Replit | Collaborative coding environment | Free tier + $20/mo pro | Real-time collaboration | Performance can lag with large projects | Good for team projects | | Sourcery | Code improvement suggestions | $10/mo | Python codebases | Focused only on Python | We use this for Python projects | | Snippet Store | Code snippet management | Free | Organizing snippets | Basic functionality | A handy complement to Copilot | | Stack Overflow | Community Q&A for coding | Free | Troubleshooting issues | Not always reliable for code quality | Great for specific coding questions |

Conclusion: Start Here to Boost Your Development

If you're looking to speed up your development by 50% in 30 days, GitHub Copilot is a solid choice. Start by setting it up in VSCode, learn to leverage its suggestions effectively, and integrate it into your workflow. Measure your progress to keep yourself accountable and adjust your approach as needed.

In our experience, combining GitHub Copilot with other tools like Tabnine and Sourcery can further enhance your productivity, especially if you’re working in a team. Remember, it’s all about finding the right balance for your projects.

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