Amazon Q Developer is an AI-powered development assistant created by Amazon Web Services (AWS).
Amazon helps developers throughout different stages of the software development lifecycle. Instead of only suggesting the next few lines of code, Amazon Q Developer can understand development requests written in natural language and assist with larger coding tasks.
Amazon Q Developer is built using Amazon Bedrock and has been enhanced with AWS-specific knowledge, making it particularly useful for developers working with AWS services.
Amazon Q Developer can generate code based on natural-language instructions. This can be useful for quickly creating functions, APIs, scripts, and application components without writing everything manually.
Amazon Q Developer can help identify bugs and suggest possible fixes. Instead of spending significant time manually searching through documentation or developer forums, developers can discuss an error directly with the AI assistant.
The tool can help scan code for potential security vulnerabilities and provide recommendations for improving application security. However, AI-generated security recommendations should still be reviewed by developers and security professionals before being used in production environments.
Amazon Q Developer can use workspace context to provide answers based on the structure and code available in your project. This allows developers to ask broader questions about their applications and receive suggestions that are more relevant to their existing codebase.
Amazon Q Developer currently offers Free and Pro tiers.
The Free tier provides limited monthly access to Amazon Q Developer’s advanced capabilities.
According to AWS’s current pricing information, the Free tier includes 50 agentic requests per month for Q&A chat and agentic coding.
It can be a good option for students, Individual developers, Beginners learning AWS, Developers who want to test AI-assisted coding
Amazon Q Developer Pro currently costs $19 per user per month.
The Pro tier provides higher usage limits and additional capabilities aimed at professional developers and organizations.
It includes benefits such as higher agentic usage limits, administrative controls for organizations, and IP indemnity.
Pricing and usage limits can change, so businesses should verify the latest information on AWS before subscribing.
Amazon Q Developer can be particularly useful for:
Developers frequently working with AWS services can benefit from its AWS-specific knowledge and integrations.
Teams can use AI assistance for development, debugging, testing, documentation, modernization, and security-related workflows.
Its AWS and command-line capabilities can make Amazon Q useful for infrastructure and operational workflows.
The Free tier provides an accessible way to experiment with AI-assisted software development.
Code explanation, debugging, refactoring, and transformation features can make maintaining larger or older projects easier.
Traditional software development requires developers to manually search documentation, investigate errors, write repetitive code, and understand unfamiliar projects.
Amazon Q Developer can reduce some of this repetitive work.
Instead of manually searching through documentation, you can ask questions directly.
Instead of writing boilerplate code from scratch, you can generate an initial implementation.
Instead of spending significant time understanding an unfamiliar function, you can ask Amazon Q to explain it.
The developer, however, remains responsible for reviewing the generated code, testing the application, and making final technical decisions.
Amazon Q Developer is a powerful AI development assistant with particularly strong value for AWS-focused developers.
It can help developers:
Its agentic capabilities represent a significant improvement over traditional code-completion tools.
At the same time, AWS’s plan to end support for Amazon Q Developer IDE plugins and paid subscriptions in April 2027 means new users should also consider AWS’s Kiro platform when deciding which development environment to adopt.
Best For: AWS developers, DevOps engineers, cloud development teams, and developers experimenting with AI-assisted coding.