| Feature | CodeWhisperer | GitHub Copilot |
|---|---|---|
| Free Plan | ✓ Yes | ✓ Yes |
| Pricing | Free / $19/mo | Free / $10–$19/mo |
| Rating | ★★★★☆ 4.1 | ★★★★★ 4.8 |
| Key Feature 1 | Real-time suggestions | Intelligent Code Completion |
| Key Feature 2 | Security scanning | Copilot Chat |
| Key Feature 3 | AWS API references | Task-Based Multi-File Edits |
Reach buyers comparing CodeWhisperer and GitHub Copilot. High-intent traffic, direct conversions.
GitHub Copilot edges out CodeWhisperer on user ratings (4.8 vs 4.1 out of 5), though both remain solid choices depending on your priorities. Both CodeWhisperer and GitHub Copilot offer free plans, so you can test both before committing. Both tools are widely used by programmers, startups — the deciding factor is usually which specific feature set matches your existing workflow.
CodeWhisperer and GitHub Copilot are frequently weighed against each other — both sit in the coding tools space, but they solve the problem from different angles. CodeWhisperer is best known for real-time suggestions, whereas GitHub Copilot stands out for intelligent code completion. On aggregate user ratings GitHub Copilot holds a slight edge (4.1/5 vs 4.8/5), though that gap rarely decides the match on its own.
Where CodeWhisperer pulls clearly ahead is getting AWS-specific code suggestions for Lambda, CDK, and SDK patterns. A frequent plus in reviews: Free for individuals — especially for real-time suggestions workflows where CodeWhisperer consistently outperforms manual approaches, making it an attractive option for solo developers. GitHub Copilot, by contrast, is the stronger choice for autocompleting boilerplate code and repetitive patterns in real time. In its favour: Deepest GitHub integration available — PR summaries, code review, Actions support all native. Picking based on which of those jobs you actually do day to day beats chasing a longer feature list.
CodeWhisperer/Amazon Q Developer is the best AI coding tool for AWS-heavy development — its service-specific suggestions for Lambda, S3, DynamoDB, and CDK go beyond what general tools produce. GitHub Copilot is the safest enterprise choice for AI coding assistance — deeply integrated with GitHub, broadly trusted by security teams, and genuinely useful for the full development lifecycle. If you only have budget or appetite for one, match the tool to your heaviest workflow rather than the spec sheet.
Choose CodeWhisperer if you are focused on aWS developers who want AI code suggestions with deep AWS service knowledge, and enterprises needing a compliant AI coding tool that doesn't train on their proprietary code, or if a big part of your week goes to security vulnerability scanning with automated fix suggestions. Its free tier also lets you validate the fit before paying.
Choose GitHub Copilot if your priority is professional developers and engineering teams already in the GitHub ecosystem who want inline code suggestions, IDE-native chat, and seamless pull request integration without switching contexts, especially for generating unit tests for existing functions with a single comment. A free plan is available, so you can trial the workflow at zero cost first.
Real-world output tracks the ratings closely: CodeWhisperer at 4.1/5 and GitHub Copilot at 4.8/5, with the difference showing up most in getting AWS-specific code suggestions for Lambda, CDK, and SDK patterns.
Learning curve is worth weighing. CodeWhisperer has a known trade-off — Best only for AWS workloads — worth evaluating before committing if this is central to your use case, as it may not be suitable for non-AWS projects. On GitHub Copilot's side: Context window limits hurt on very large codebases — Cursor handles long-context edits better. Budget a week or two to get fluent in either before judging the output.
Both tools offer a free plan, so you can trial each side by side before spending anything. Paid plans start at $19/user/mo for CodeWhisperer (Professional) and $10/mo for GitHub Copilot (Pro), making GitHub Copilot the cheaper entry point at $10/mo versus $19/user/mo. The extra spend on CodeWhisperer only pays off if you need what its higher tier unlocks. Watch for usage caps and per-seat costs at the tier you'll really land on, not the headline price.
🚀 Ready to decide? Try both free and see which fits your workflow.
Amazon CodeWhisperer is AWS's AI coding companion — now called Amazon Q Developer — that provides inline code suggestions and security scann… Read the full CodeWhisperer review →
GitHub Copilot is the most widely used AI coding assistant, built on OpenAI Codex and deeply integrated with GitHub's ecosystem. It suggests… Read the full GitHub Copilot review →
• Free for individuals — especially for real-time suggestions workflows where CodeWhisperer consistently outperforms manual approaches, making it an attractive option for solo developers
• Strong AWS code quality — especially for real-time suggestions workflows where CodeWhisperer consistently outperforms manual approaches, resulting in high-quality AWS-specific code
• Enhanced security — through automated security scanning, reducing the risk of vulnerabilities in the codebase
• Improved productivity — by providing real-time suggestions, allowing developers to focus on complex tasks
• Best only for AWS workloads — worth evaluating before committing if this is central to your use case, as it may not be suitable for non-AWS projects
• Weaker on non-AWS frameworks — worth evaluating before committing if this is central to your use case, as its strengths lie in AWS-specific knowledge
• Deepest GitHub integration available — PR summaries, code review, Actions support all native
• Free tier is genuinely useful — 2,000 completions/month is enough to evaluate fit
• Works in VS Code, JetBrains, Neovim, and Visual Studio — broadest IDE coverage of any AI coding tool
• Business plan includes IP indemnity — critical for enterprise legal compliance
• Context window limits hurt on very large codebases — Cursor handles long-context edits better
• Chat features lag behind Cursor's Composer for complex multi-file refactoring