What is GitHub Copilot and How Does It Help Developers Write Better Code?
GitHub Copilot is an AI-powered code assistant developed by GitHub in collaboration with OpenAI. It acts as your personal coding partner, leveraging a large language model trained on billions of lines of code from GitHub repositories.
Key Features of GitHub Copilot:
1. Intelligent Code Completion
- Suggests complete code from just a comment or function name
- Understands context and offers relevant solutions
- Supports multiple programming languages, especially Python
2. Automatic Function and Class Generation
- Quickly generates boilerplate code
- Suggests appropriate design patterns
- Assists in writing unit tests
3. Code Improvement and Bug Fixing
- Detects bugs and suggests fixes
- Improves code efficiency
- Recommends best practices
Research on Effectiveness
GitHub’s research shows clear impact:
- Developers using Copilot spend an average of 1 hour 11 minutes on tasks, compared to 2 hours 41 minutes for those not using it
- 75% of Copilot users report higher job satisfaction, and coding productivity increases by up to 55%
- At Accenture, 67% of developers use Copilot at least 5 days a week
Subscription Plans and Usage
GitHub updated its plans in 2025, introducing charges for premium requests starting June 4, 2025.
Current Plans:
1. GitHub Copilot Free
- For individual developers without organizational access
- Basic features to get started
2. GitHub Copilot Pro ($10/month or $100/year)
- For individual developers
- Includes code suggestion chat and security vulnerability detection
3. GitHub Copilot Pro+ ($39/month or $390/year)
- Access to premium models like GPT-4.5 with 1,500 premium requests per month
- Early access to preview features
4. GitHub Copilot Business & Enterprise
- For teams and organizations
- Centralized license management and security features
How to Install in VSCode:
- Install the GitHub Copilot extension from the VSCode Marketplace
- Log in with a GitHub account that has a subscription
- Wait for activation and start using immediately
- Use Ctrl+I (Windows/Linux) or Cmd+I (Mac) to open Copilot Chat
Note: Premium request charges begin June 4, 2025, for all plans
Limitations of GitHub Copilot
Main Limitations:
1. Code Accuracy
- May suggest incorrect or buggy code
- Always review and test code before use
- Sometimes struggles with complex context
2. Security and Copyright
- May suggest code with security risks
- Intellectual property concerns
- Data sent to GitHub servers
3. Dependency and Skills
- Can lead to over-reliance on AI
- May reduce algorithmic thinking
- Not ideal for beginners lacking fundamentals
4. Learning Limitations
- Research shows acceptance rate is higher on weekends (23.5% vs 23%), indicating different usage patterns
Example: Using GitHub Copilot for a Minimart API
Getting Started
When you start by writing a comment describing what you want, Copilot suggests suitable code:
# Create a Product class for minimart with id, name, price, and quantity
# GitHub Copilot will suggest a complete class structure
# Create FastAPI endpoints for product CRUD operations
# Copilot will generate endpoints with error handling
# Add shopping cart functionality
# Copilot will suggest a cart management system
Benefits:
- Reduces time spent on boilerplate code
- Provides best-practice code structure
- Handles error and validation appropriately
- Helps choose suitable libraries
Summary
GitHub Copilot is a powerful tool that can greatly boost coding productivity, especially for boilerplate or familiar patterns. However, mindful use and code review remain essential.
Pros:
- Speeds up coding
- Reduces repetitive code
- Helps learn best practices
- Supports multiple programming languages
Cautions:
- Always check code accuracy
- Don’t over-rely on AI
- Understand the logic before using
- Be mindful of security and copyright
For Python developers seeking to boost productivity, GitHub Copilot is a worthwhile investment. But remember, strong fundamentals and critical thinking are still the most important factors in developing quality software.
References
- GitHub Copilot Official Plans - GitHub Documentation
- Research: Quantifying GitHub Copilot’s Impact on Developer Productivity and Happiness - GitHub Blog, May 2024
- Measuring GitHub Copilot’s Impact on Productivity - Communications of the ACM, May 2024
- Research: Quantifying GitHub Copilot’s Impact in the Enterprise with Accenture - GitHub Blog, May 2024
- GitHub Copilot Billing Information - GitHub Documentation
- Announcing GitHub Copilot Pro+ - GitHub Changelog, April 2025