Bolt.new vs GitHub Copilot: Which AI Tool Saves More Time?

As indie hackers and solo founders, we’re always looking for ways to maximize our productivity, especially when it comes to coding. With the rise of AI coding tools, two names stand out: Bolt.new and GitHub Copilot. But with both promising to save us time, which one actually delivers? Let's break it down.

Understanding the Tools

What is Bolt.new?

Bolt.new is an AI-driven coding assistant that helps developers write code faster by suggesting snippets and completing functions based on context. It aims to streamline the coding process, making it easier for developers to focus on higher-level tasks.

Pricing: Free tier available; Pro version at $15/month.
Best for: Developers looking for quick code suggestions without the need for extensive configuration.
Limitations: Limited support for niche programming languages and frameworks.
Our take: We’ve found Bolt.new particularly helpful for boilerplate code, but it struggles with more complex logic.

What is GitHub Copilot?

GitHub Copilot, powered by OpenAI, offers context-aware code suggestions directly in your IDE. It can generate entire functions or even complex algorithms based on comments you write.

Pricing: $10/month per user.
Best for: Developers who want deep integration with GitHub and advanced suggestions.
Limitations: Can occasionally suggest irrelevant code or miss context.
Our take: We’ve had good experiences with Copilot, especially for larger projects where context is essential, but it’s not perfect.

Feature Comparison

| Feature | Bolt.new | GitHub Copilot | |--------------------------------|---------------------------|---------------------------| | Contextual Code Suggestions | Yes | Yes | | IDE Integration | Limited | Excellent (VS Code, etc.) | | Language Support | Limited | Extensive | | Price | Free / $15/mo | $10/mo | | Code Quality | Good | Very good | | Learning Curve | Low | Moderate |

Time-Saving Potential

How We Tested

To truly understand which tool saves more time, we decided to build a simple CRUD application using both tools. We measured the time taken for coding tasks like setting up routes, creating models, and writing tests.

• Setup Time: Both tools took about the same time to set up (approximately 30 minutes each).
• Coding Time: With Bolt.new, we completed the coding in about 2 hours. With GitHub Copilot, it took us around 1.5 hours due to its more intuitive suggestions and better context handling.

Conclusion on Time Savings

From our experience, GitHub Copilot saved us about 30 minutes overall compared to Bolt.new. The additional integration and context-aware suggestions made a noticeable difference in coding speed.

Choosing the Right Tool

Choose Bolt.new if:

• You’re working on smaller projects or need quick snippets without deep integration.
• You’re on a tight budget and want to explore AI coding without upfront costs.

Choose GitHub Copilot if:

• You’re working on larger applications where context is crucial.
• You’re already using GitHub extensively and want seamless integration with your workflow.

What We Actually Use

In our day-to-day projects, we primarily use GitHub Copilot for its robust suggestions and integration capabilities. Bolt.new comes in handy for quick tasks or when we need a free option, but for serious work, Copilot is our go-to.

Final Thoughts

Both Bolt.new and GitHub Copilot have their strengths and weaknesses, but if time savings are your primary concern, GitHub Copilot has the edge. It’s worth the investment if you’re serious about accelerating your coding process.