Quick Summary
GitHub Copilot
An AI-powered coding assistant integrated into IDEs, offering intelligent code suggestions, documentation, and real-time collaboration.
Rating:
4.7/5
Amazon Q Developer
An AI-powered coding assistant integrated into the AWS ecosystem, offering intelligent assistance, legacy code modernization, and secure development workflows.
Rating:
4.2/5
Tool Overview
1st
GitHub Copilot
AI Assistant
2nd
Amazon Q Developer
Agentic AI Assistant
Features
Features
| Feature | GitHub Copilot | Amazon Q Developer |
|---|---|---|
| Subtype | Plugin, Web App | CLI, Plugin |
| Recommendation | Recommended | Developing |
| Code Autocompletion | Generates entire code blocks contextually | — |
| Multi-Language Support | Supports Python, JavaScript, Ruby, C++, and more | — |
| Interactive Chat | Natural language queries for troubleshooting | — |
| Code Documentation | Automated generation of comments and documentation | — |
| Collaborative Tools | Summarize pull requests, propose changes, and assist in collaborative coding | — |
| Integrated Debugging | Real-time debugging suggestions | — |
| Conversational Development Support | — | Natural language interactions for AWS services and troubleshooting |
| Smart Code Completion | — | Context-aware code suggestions to streamline development |
| Security-First Development | — | Automated vulnerability scanning with actionable recommendations |
| Legacy Code Modernization | — | Upgrade outdated codebases (e.g., Java 8 to Java 17) |
| Seamless IDE Integration | — | Supports popular IDEs like Visual Studio Code and JetBrains |
| Automated Documentation | — | Generates real-time documentation and performance analytics |
Pricing
Pricing Plans
| Plan | GitHub Copilot | Amazon Q Developer |
|---|---|---|
| Free | $0 Basic access with API key requirements | $0 Basic AI capabilities for AWS-integrated projects |
| Pro | $10/month Enhanced code completion and debugging | $25/month Advanced collaboration and modernization tools |
| Enterprise | Custom Advanced security, scalability, and team tools | Custom Scalable AWS-integrated AI for large teams |
Pros & Cons
GitHub Copilot
Pros
- •Context-aware and intelligent code suggestions
- •Strong integration with major IDEs like VS Code and JetBrains
- •Automated documentation and pull request generation
- •Supports multiple programming languages
Cons
- •Occasional incorrect code suggestions
- •Limited customization of AI behavior
- •Requires API keys for advanced functionality
Amazon Q Developer
Pros
- •Deep integration with AWS ecosystem
- •Strong legacy code modernization capabilities
- •Automated vulnerability scanning and security recommendations
- •Effective documentation and analytics tools
Cons
- •Slower response times under heavy loads
- •Limited AI model flexibility
- •Context management across larger projects is inconsistent
Our Recommendation
Based on the comparison above, we recommend GitHub Copilot for most users because:
- Best overall feature set
- Competitive pricing
- Strong user ratings