Head-to-Head Comparison

Amazon CodeWhisperer vs Tabnine

Which Code Assistant is right for you? See our complete breakdown.

Amazon CodeWhisperer

7/10 Our Pick Visit Amazon CodeWhisperer
VS

Tabnine

6/10 Visit Tabnine
FeatureAmazon CodeWhispererTabnine
MegaOne Score7/106/10
CategoryCode AssistantCode Assistant
Pricing ModelFreemiumPaid Only
Starting Price$19.00/mo$12.00/mo
Free TierYesNo
API AvailableNoNo
Open SourceNoNo
iOS AppNoNo
Android AppNoNo
Chrome ExtensionNoNo
CompanyAmazon Web ServicesTabnine
Total FundingN/A$102M

Visual Comparison

Score Reach Value Team Funding Reviews
Amazon CodeWhisperer Tabnine

About Amazon CodeWhisperer

AWS's AI coding assistant providing real-time code suggestions, security scanning, and AWS-specific optimizations.

Amazon CodeWhisperer, now integrated into Amazon Q Developer, is an AI coding assistant from AWS that provides real-time code suggestions, security scanning, and reference tracking across 15+ programming languages. It is particularly optimized for developers working within the AWS ecosystem, offering deep integration with AWS services and best practices. The tool also includes agent capabilities for tasks like code transformation and unit test generation.

About Tabnine

Tabnine is an AI coding platform purpose-built for enterprises, offering secure generative AI for coding with a strong focus on privacy and control.

Tabnine is an AI coding platform that provides code completion, chat, and agentic workflows, designed for enterprise software development. It emphasizes privacy, security, and compliance, offering flexible deployment options including SaaS, VPC, on-premises, and air-gapped environments. The platform leverages an Enterprise Context Engine to understand an organization's entire codebase, ensuring AI-generated code aligns with internal standards and architectural patterns.

Amazon CodeWhisperer takes the edge

With a MegaOne score of 7/10 versus 6/10, Amazon CodeWhisperer edges ahead of Tabnine in our analysis. However, Tabnine may still be the better choice depending on your specific use case and budget.