Amazon CodeWhisperer
AI coding companion by AWS
GitHub Copilot
AI pair programmer by GitHub and OpenAI
Amazon CodeWhisperer vs GitHub Copilot
A detailed side-by-side comparison to help you choose the best code AI tool for your needs in 2026.
Quick Verdict
$0 - $19/user/mo
GitHub Copilot edges ahead with a 4.4/5 rating compared to Amazon CodeWhisperer's 3.7/5. However, Amazon CodeWhisperer may still be the better choice depending on your specific requirements.
$0 - $39/mo
Feature Comparison
| Feature | Amazon CodeWhisperer | GitHub Copilot |
|---|---|---|
| Code suggestions | Yes | No |
| Security vulnerability scanning | Yes | No |
| AWS service integration | Yes | No |
| Reference tracking for open source | Yes | No |
| 15+ language support | Yes | No |
| IDE integrations | Yes | No |
| CLI completions | Yes | No |
| Infrastructure-as-code support | Yes | No |
| Multi-line code suggestions | No | Yes |
| Natural language to code | No | Yes |
| Chat interface in IDE | No | Yes |
| Code explanation | No | Yes |
| Test generation | No | Yes |
| Multi-file context | No | Yes |
| Workspace indexing | No | Yes |
| CLI integration | No | Yes |
Pricing Comparison
Amazon CodeWhisperer
AI coding companion by AWS
Unlimited code suggestions for individuals
GitHub Copilot
AI pair programmer by GitHub and OpenAI
Free for students, OSS maintainers, and limited individual use
Pros & Cons
Amazon CodeWhisperer Pros
- Free unlimited suggestions
- Excellent AWS integration
- Built-in security scanning
- Open source reference tracking
Amazon CodeWhisperer Cons
- Best for AWS ecosystem only
- Fewer language/framework coverage
- Less capable than Copilot for general code
- Rebranding to Q Developer causes confusion
GitHub Copilot Pros
- Deeply integrated into GitHub ecosystem
- Excellent code completion
- Wide language support
- Chat and inline suggestions
GitHub Copilot Cons
- Requires subscription for most users
- Can suggest insecure or outdated code
- May reproduce licensed code
- Heavy resource usage in editor
Which One Is Right for You?
Who Should Choose Amazon CodeWhisperer?
AI coding companion by AWS
- Users who want a free tier to get started
- Professionals and small-to-medium teams
- Power users who need a comprehensive feature set
- Users who need versatility across multiple use cases
Who Should Choose GitHub Copilot?
AI pair programmer by GitHub and OpenAI
- Users who want a free tier to get started
- Budget-conscious individuals and small teams
- Power users who need a comprehensive feature set
- Users who need versatility across multiple use cases
Frequently Asked Questions
Is Amazon CodeWhisperer better than GitHub Copilot?
It depends on your needs. Amazon CodeWhisperer (rated 3.7/5) excels at free unlimited suggestions, while GitHub Copilot (rated 4.4/5) is known for deeply integrated into github ecosystem. Both are strong code tools with different strengths.
Which is cheaper, Amazon CodeWhisperer or GitHub Copilot?
Amazon CodeWhisperer pricing is $0 - $19/user/mo (free tier available). GitHub Copilot pricing is $0 - $39/mo (free tier available). Both offer free tiers to get started.
Can I use Amazon CodeWhisperer and GitHub Copilot together?
Yes, many users combine Amazon CodeWhisperer and GitHub Copilot for different tasks. Amazon CodeWhisperer may be better for some code workflows while GitHub Copilot excels at others. Using both can give you the best of each tool's strengths.
What are the main differences between Amazon CodeWhisperer and GitHub Copilot?
Key differences include: Amazon CodeWhisperer offers Code suggestions and Security vulnerability scanning, while GitHub Copilot provides Multi-line code suggestions and Natural language to code. Amazon CodeWhisperer is priced at $0 - $19/user/mo and GitHub Copilot at $0 - $39/mo.
Which has better features, Amazon CodeWhisperer or GitHub Copilot?
Amazon CodeWhisperer offers 8 features including Code suggestions and Security vulnerability scanning. GitHub Copilot offers 8 features including Multi-line code suggestions and Natural language to code. The "better" feature set depends on which capabilities matter most for your use case.
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