Amazon Q Developer vs Cursor

Side-by-side comparison — features, pricing, pros and cons

Freemium

4.3

Amazon Q Developer is AWS AI coding assistant for building, deploying, and optimizing applications on AWS. Features code generation, debugging, optimization suggestions, and deep AWS service integration to help developers work faster in the AWS ecosystem.

Features

Code generation
AWS integration
Security scanning
Code transformation
CLI assistance
+3 more

Pros

Deep AWS knowledge
Security scanning built-in
Free tier available
Good for AWS projects
IDE and CLI support

Cons

AWS-focused
Less general than Copilot
Newer and less mature
Best within AWS ecosystem

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Cursor

Freemium

4.5

AI-native code editor built on VS Code with deep codebase indexing and a credit-based pricing model. Reached 1M+ monthly active users in 2025 and added a Marketplace for extensions and JetBrains plugin support. The Composer agent can apply multi-file edits with a single instruction, making it the most popular dedicated AI IDE among developers surveyed in Stack Overflow 2025.

Category:AI Coding

Features

Codebase indexing for whole-repository context in completions
Composer: multi-file AI edit agent with diff review before applying
Chat mode with @ references for files, docs, symbols, and web
Credit-based pricing with premium models (Claude 4.6, GPT-4o, o3)
Cursor Marketplace for extensions and community tools
+3 more

Pros

1M+ users validates real-world adoption and ensures long-term support and development
Composer multi-file editing reduces refactoring time significantly versus single-file suggestions
JetBrains support means teams using IntelliJ or PyCharm no longer need to switch editors
Codebase indexing makes AI suggestions context-aware across 100K+ line repos, not just the open file

Cons

Credit system is opaque — using premium models (o3, Claude Opus) burns credits fast; $100+/mo for heavy users
Pro plan ($20/mo) includes 500 fast premium requests; exceeding this drops to slow queue or extra charges
Marketplace extensions are community-maintained with variable quality and no official vetting
JetBrains support is newer and has fewer features than the VS Code-based native editor
Requires internet for AI features — not suitable for air-gapped development environments

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Tool	Amazon Q DeveloperView details →	CursorView details →
Pricing	Freemium	Freemium
Rating	4.3	4.5
Category	—	AI Coding
Description	Amazon Q Developer is AWS AI coding assistant for building, deploying, and optimizing applications on AWS. Features code generation, debugging, optimization suggestions, and deep AWS service integration to help developers work faster in the AWS ecosystem.	AI-native code editor built on VS Code with deep codebase indexing and a credit-based pricing model. Reached 1M+ monthly active users in 2025 and added a Marketplace for extensions and JetBrains plugin support. The Composer agent can apply multi-file edits with a single instruction, making it the most popular dedicated AI IDE among developers surveyed in Stack Overflow 2025.
Features
Code generation
AWS integration
Security scanning
Code transformation
CLI assistance
Debugging help
IDE plugins
Console integration
Codebase indexing for whole-repository context in completions
Composer: multi-file AI edit agent with diff review before applying
Chat mode with @ references for files, docs, symbols, and web
Credit-based pricing with premium models (Claude 4.6, GPT-4o, o3)
Cursor Marketplace for extensions and community tools
JetBrains plugin (IntelliJ, PyCharm, WebStorm) as of 2025
Shadow workspace: preview AI changes before applying to active files
Notepads for reusable context templates across sessions
Pros
	Deep AWS knowledge Security scanning built-in Free tier available Good for AWS projects IDE and CLI support	1M+ users validates real-world adoption and ensures long-term support and development Composer multi-file editing reduces refactoring time significantly versus single-file suggestions JetBrains support means teams using IntelliJ or PyCharm no longer need to switch editors Codebase indexing makes AI suggestions context-aware across 100K+ line repos, not just the open file
Cons
	AWS-focused Less general than Copilot Newer and less mature Best within AWS ecosystem	Credit system is opaque — using premium models (o3, Claude Opus) burns credits fast; $100+/mo for heavy users Pro plan ($20/mo) includes 500 fast premium requests; exceeding this drops to slow queue or extra charges Marketplace extensions are community-maintained with variable quality and no official vetting JetBrains support is newer and has fewer features than the VS Code-based native editor Requires internet for AI features — not suitable for air-gapped development environments
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