AI image generators can turn simple ideas into realistic photos, digital artwork, product visuals, social media graphics, fantasy scenes, and much more. But getting a great result often depends on how clearly you describe what you want. In this guide, you'll find 100 of the best AI image prompts for different types of image creation. You can copy these prompts, customize them, and adapt them for your own creative projects. These prompts can be useful for content creators, students, freelancers, marketers, designers, bloggers, business owners, and anyone experimenting with AI image generation. If you're new to prompting, you may also want to read our guide on how to write better AI prompts before creating your own prompts. What Makes a Good AI Image Prompt? A good image prompt gives the AI enough information to understand the subject, environment, composition, lighting, mood, and visual style you want. For example, instead of writing: "A beautiful city....
Artificial intelligence is changing the way developers build software, and Amazon Q Developer is one of the most powerful AI coding assistants available in 2026. Developed by Amazon Web Services (AWS), Amazon Q Developer can help developers understand code, generate new code, debug problems, review projects, improve security, and work with AWS services.
Unlike a simple AI chatbot, Amazon Q Developer is designed to work directly inside development environments and the command line. It can also perform agentic coding tasks, meaning it can break a development request into steps and help implement those steps across a project.
In this complete beginner's guide, you will learn what Amazon Q Developer is, how it works, its key features, pricing, free options, real-world use cases, advantages, limitations, and how it compares with other popular AI coding tools.
What Is Amazon Q Developer?
Amazon Q Developer is an AI-powered software development assistant from Amazon Web Services. It helps developers understand, build, extend, secure, manage, and optimize applications.
It can work inside popular IDEs, through the command line, and across AWS applications and services. Developers can use it to ask coding questions, generate code, receive inline suggestions, debug problems, refactor code, review projects, and perform other development tasks.
Amazon Q Developer is powered by Amazon Bedrock and is designed with a strong focus on AWS development and cloud workloads.
What's New About Amazon Q Developer in 2026?
Amazon Q Developer has evolved beyond traditional code completion. Its current capabilities include agentic coding, codebase assistance, security reviews, MCP support, code transformations, and broader software-development workflows.
Developers can use Amazon Q Developer from supported IDEs and the command line, while AWS users can also use it to ask questions about AWS architecture, resources, documentation, troubleshooting, and best practices.
AWS currently lists Amazon Q Developer support for VS Code, JetBrains IDEs, Visual Studio, and Eclipse, along with command-line access.
Key Features of Amazon Q Developer
1. AI Code Generation
Amazon Q Developer can generate code from natural-language instructions. You can describe what you want to build and ask the assistant to create the required code.
It can also provide inline suggestions based on your comments, existing code, and development context.
2. Agentic Coding
One of the most important Amazon Q Developer features is agentic coding.
Instead of simply generating one code snippet, Amazon Q Developer can analyze a development request, break it into logical steps, create or modify code, generate tests, and help implement a larger feature.
This makes it particularly useful for multi-step software development tasks.
3. Codebase Understanding
Amazon Q Developer can work with the context of your development workspace. This allows it to provide more relevant suggestions and help developers understand existing projects.
You can ask questions about your code, request explanations, or ask the assistant to make improvements to existing files.
4. Debugging and Refactoring
Developers can use Amazon Q Developer to investigate errors, explain problematic code, improve existing implementations, and refactor code.
For example, you can provide an error message and ask Amazon Q to explain the problem and suggest a fix.
5. Security Scanning and Code Reviews
Amazon Q Developer can review code for security vulnerabilities and code-quality problems. AWS documentation says it can review an entire codebase or individual files and can also support automatic reviews while you work.
6. AWS Development Assistance
This is where Amazon Q Developer becomes especially interesting for AWS users.
You can ask questions about AWS architecture, services, documentation, best practices, resources, and troubleshooting. It can also help with AWS SDKs and the AWS Command Line Interface.
7. MCP Support
Amazon Q Developer supports Model Context Protocol (MCP) servers in supported IDE environments. This can allow AI-assisted development workflows to interact with additional tools and resources.
8. Code Transformations
Amazon Q Developer can help transform and modernize certain applications. AWS provides transformation capabilities for Java and .NET workloads, including language and operating-system-level upgrades and conversions.
9. Multiple Development Environments
Amazon Q Developer is available across several popular development environments, including:
- Visual Studio Code
- JetBrains IDEs
- Visual Studio
- Eclipse
- Command line
This makes it possible to use the same AI development assistant across different workflows.
Amazon Q Developer Pricing in 2026
Amazon Q Developer currently has a Free Tier and a Pro Tier. The Pro plan is listed by AWS at $19 per user per month.
| Feature | Free Tier | Pro |
|---|---|---|
| Price | $0 | $19/user/month |
| IDE & CLI | Yes | Yes |
| Agentic requests | Limited | Higher limits |
| Advanced development features | Limited | Expanded |
| Java transformation | 1,000 lines/month | 4,000 lines/month/user pooled at account level |
| Enterprise controls | Limited | Yes |
| IP indemnity | No | Yes |
Pricing and usage limits can change, so check the latest AWS pricing information before purchasing a subscription.
Is Amazon Q Developer Free?
Yes. Amazon Q Developer has a perpetual Free Tier with monthly usage limits.
AWS currently lists up to 50 agentic requests per month in the Free Tier, while the Pro plan provides significantly higher limits. The Free Tier can be a good starting point for students, beginners, and developers who want to test the service before paying.
How to Start Using Amazon Q Developer
Step 1: Choose Your Development Environment
Choose an environment such as VS Code, JetBrains, Visual Studio, Eclipse, or the command line.
Step 2: Install Amazon Q Developer
Install the Amazon Q Developer extension, plugin, or CLI according to your chosen environment.
Step 3: Sign In
You can authenticate using an AWS Builder ID or, depending on your environment and organization, AWS IAM Identity Center.
One useful advantage for beginners is that you can start using Amazon Q Developer through Builder ID without needing an AWS account for the Free Tier in supported IDE workflows.
Step 4: Start Asking Questions
Once installed, you can ask Amazon Q Developer questions about your code or describe what you want to build.
Step 5: Review the Generated Code
Never blindly accept AI-generated code. Review the output, test it, and make sure it behaves as expected before deploying it to production.
Example Amazon Q Developer Prompt
A simple prompt could be:
Create a Python REST API for a simple task management application. Add endpoints for creating, updating, deleting and listing tasks. Include input validation and basic error handling.
For a larger project, you can give Amazon Q Developer more context about your architecture, requirements, existing files, and expected behavior.
Amazon Q Developer for Beginners
Amazon Q Developer can be useful even if you are still learning programming.
You can ask it to explain programming concepts, describe what a particular function does, identify errors, generate examples, and explain why a particular solution works.
However, beginners should use AI as a learning assistant rather than simply copying everything it generates. Understanding the code is still important.
Amazon Q Developer for Professional Developers
Experienced developers can use Amazon Q Developer to accelerate repetitive tasks and work more efficiently across larger projects.
Useful applications include:
- Generating boilerplate code
- Writing tests
- Debugging errors
- Refactoring existing code
- Reviewing code
- Finding security issues
- Understanding unfamiliar codebases
- Modernizing older applications
- Working with AWS services
- Building features through agentic workflows
Amazon Q Developer for AWS Developers
If you frequently work with AWS, Amazon Q Developer can be especially useful.
You can use it to understand AWS services, explore architecture decisions, troubleshoot problems, work with AWS SDKs, and get guidance related to AWS infrastructure and development.
This AWS-focused context is one of the biggest reasons developers may choose Amazon Q Developer instead of a general-purpose AI coding assistant.
Amazon Q Developer vs GitHub Copilot
Amazon Q Developer is particularly attractive for developers who work heavily with AWS and want AI assistance across AWS development workflows.
GitHub Copilot is deeply integrated into the GitHub and developer ecosystem and is widely used for code completion and AI-assisted development.
The better choice depends on your development environment and the platforms you use most.
Amazon Q Developer vs Windsurf
Windsurf focuses heavily on agentic coding and AI-assisted software development inside an AI-powered development environment.
Amazon Q Developer, meanwhile, has a particularly strong connection to AWS services and cloud development.
If AWS is central to your workflow, Amazon Q Developer can be a compelling option.
Amazon Q Developer vs Replit AI
Replit AI is designed around quickly creating and deploying applications through an AI-powered development platform.
Amazon Q Developer is more focused on professional software development workflows, IDE integration, AWS development, code assistance, security, and cloud workloads.
Amazon Q Developer vs ChatGPT
ChatGPT is a general-purpose AI assistant that can help with programming, research, writing, analysis, and many other tasks.
Amazon Q Developer is more specialized for software development and is designed to operate directly inside developer workflows.
For general questions and broad AI assistance, ChatGPT may be more flexible. For AWS-focused software development, Amazon Q Developer can provide a more specialized experience.
How to Get Better Results from Amazon Q Developer
The quality of your instructions can significantly affect AI-generated results.
Instead of writing:
Build a website.
Try something more specific:
Build a responsive task management web application with a clean dashboard, user authentication, task creation and editing, filtering by status, mobile-friendly design, and a REST API backend. Explain the implementation steps before making changes.
For more practical prompting techniques, check our guide on how to write better AI prompts.
Advantages of Amazon Q Developer
- Strong AWS integration
- Free Tier available
- Agentic coding capabilities
- IDE and CLI support
- Code generation and completion
- Debugging and refactoring assistance
- Security scanning and code reviews
- MCP support
- Java and .NET transformation capabilities
- Useful for both beginners and professional developers
Limitations of Amazon Q Developer
- Free usage has monthly limits
- Advanced capabilities may require Pro
- AI-generated code still requires human review
- Output quality can vary by programming language and task
- Developers outside the AWS ecosystem may find some features less relevant
- AI coding tools can occasionally produce incorrect or inefficient solutions
Is Amazon Q Developer Worth Using in 2026?
If you are an AWS developer, the answer is often yes.
Amazon Q Developer combines AI coding assistance with AWS-specific knowledge, agentic development, security capabilities, code reviews, and cloud-development workflows.
Even developers who do not use AWS extensively can benefit from its IDE and CLI coding capabilities, especially if the Free Tier meets their needs.
Who Should Use Amazon Q Developer?
Amazon Q Developer is a good choice for:
- AWS developers
- Software engineers
- Cloud developers
- Java and .NET developers
- Students learning programming
- Developers working on large codebases
- Teams that need AI-assisted code reviews
- Developers who want agentic coding assistance
Who May Not Need Amazon Q Developer?
If you rarely write code and mainly need an AI assistant for writing, research, general questions, or content creation, a general-purpose AI assistant may be more appropriate.
Amazon Q Developer is primarily designed around software development rather than general everyday AI tasks.
Frequently Asked Questions
Is Amazon Q Developer free?
Yes. Amazon Q Developer offers a Free Tier with monthly usage limits. A Pro plan is also available for $19 per user per month according to AWS's current pricing.
Does Amazon Q Developer work with VS Code?
Yes. Amazon Q Developer supports Visual Studio Code along with JetBrains IDEs, Visual Studio, Eclipse, and the command line.
Can Amazon Q Developer write code?
Yes. It can generate code, provide inline suggestions, modify existing code, generate tests, debug problems, and assist with larger development tasks.
Can Amazon Q Developer find security problems?
Yes. Amazon Q Developer includes code review and security scanning capabilities designed to identify vulnerabilities and code-quality issues.
Is Amazon Q Developer only for AWS?
No. Although Amazon Q Developer has a strong AWS focus, it also provides general software development assistance through supported IDEs and the CLI.
Can beginners use Amazon Q Developer?
Yes. Beginners can use it to learn programming concepts, understand code, generate examples, and troubleshoot errors. However, they should learn and review the code rather than blindly copying AI-generated solutions.
Is Amazon Q Developer better than GitHub Copilot?
Neither is universally better. Amazon Q Developer can be particularly attractive for AWS-focused development, while GitHub Copilot is deeply integrated with the GitHub developer ecosystem. Your workflow should determine which tool is more suitable.
Final Verdict
Amazon Q Developer has become much more than a basic AI code completion tool. In 2026, it offers a broad collection of capabilities covering code generation, agentic coding, debugging, refactoring, security reviews, code transformation, AWS assistance, and development workflows across IDEs and the command line.
For developers who work with AWS, Amazon Q Developer is one of the AI coding assistants worth testing. The Free Tier makes it possible to explore the platform without paying, while the Pro plan provides higher limits and additional capabilities.
If you want an AI assistant that can help you write, understand, improve, secure, and manage software while staying closely connected to AWS, Amazon Q Developer is a strong option to consider in 2026.
In short: Amazon Q Developer is especially powerful for AWS-focused developers, but its coding, agentic, security, and IDE capabilities also make it useful beyond the AWS ecosystem.
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