Amazon Q Developer vs Cursor: AWS-First vs Universal AI Coding
I've spent the last month hammering these two AI coding assistants in real-world projects. Here's the unfiltered truth after hundreds of prompts and production code.
Quick Score Table
| Category | Amazon Q | Cursor |
|---|---|---|
| Ease of Use | 6/10 | 9/10 |
| Performance | 7/10 | 8/10 |
| Features | 8/10 | 9/10 |
| Value | 7/10 | 8/10 |
| Overall | 7/10 | 8.5/10 |
Overview
Amazon Q Developer is AWS's answer to AI coding—deeply integrated with the AWS ecosystem, but it feels like it was built by a cloud provider first and a coding tool second. It lives in VS Code as an extension, but its true power emerges when you're neck-deep in Lambda functions, CloudFormation templates, or DynamoDB queries.
Cursor is the opposite—a fork of VS Code built from the ground up for AI-assisted development. It's universal, works with any stack, and feels like the future of coding editors. No cloud lock-in, just raw AI horsepower.
Comparison: The Hands-On Experience
Setup & First Impressions
Installing Amazon Q required an AWS Builder ID and felt like I was configuring an enterprise tool. The chat panel pops up, but the suggestions are slow to kick in—about 2-3 seconds before autocomplete appears. It's reliable, but not snappy.
Cursor? Download, open a folder, and it's already suggesting code before I've finished typing. The Ctrl+K inline editing is instant. It's like going from a loaded server to a sports car.
Code Quality
I tested both on a React + Node.js project with a PostgreSQL backend.
Amazon Q nailed AWS-specific tasks. I asked it to generate an S3 bucket policy with CloudFront integration—perfect, compliant, production-ready. But when I asked for a generic React component with state management, it returned verbose, boilerplate-heavy code that felt like 2019 best practices.
Cursor with Claude 3.5 Sonnet wrote cleaner, more modern code for the React component—used hooks properly, added error boundaries, and even suggested a custom hook for data fetching. It also understood my project context better, referencing existing types and functions without me having to explicitly mention them.
Context Awareness
This is where Cursor dominates. Its @file and @folder references let me pull in entire codebases into the chat context. Amazon Q has "context awareness" but it's shallow—it sees the open file and maybe a few imports. Cursor sees your whole project structure, recent changes, and even your Git history.
Features
Amazon Q Developer
- AWS Service Integration: Generates CloudFormation, CDK, Lambda code with accurate IAM policies
- Code Transformation: Can upgrade Java versions and refactor legacy code
- Security Scanning: Built-in vulnerability detection for AWS resources
- Multi-file Chat: Context window supports up to 5 files
- VS Code Extension Only: No standalone editor
Cursor
- Full Editor Fork: Complete VS Code replacement with AI baked in
- Multi-Model Support: Claude, GPT-4, custom models via API
- Inline Editing:
Ctrl+Ktransforms any code block instantly - Composer: Multi-file editing with diff preview
- Terminal AI: Debugs build errors, suggests commands
- Project-level Context: Understands your entire codebase
Pricing
Amazon Q Developer:
- Free Tier: Generous—1000 code suggestions/month, 50 security scans
- Pro: $19/user/month (unlimited suggestions, advanced features)
- Enterprise: Custom pricing (SSO, admin controls)
Cursor:
- Free: 2000 completions, 50 slow premium requests/month
- Pro: $20/month (500 fast requests, unlimited slow)
- Business: $40/user/month (team features, centralized billing)
Both are similarly priced, but Cursor's free tier feels more usable day-to-day.
Use Cases
Choose Amazon Q if:
- You live in the AWS console and CloudFormation
- Your team needs enterprise compliance and SSO
- You're modernizing legacy Java or .NET apps
- Security scanning for cloud resources is critical
Choose Cursor if:
- You work across multiple languages and frameworks
- You want the fastest AI coding experience available
- You need deep project understanding, not just file-level help
- You're building web apps, APIs, or anything non-AWS-specific
Verdict
Winner: Cursor (8.5/10 vs 7/10)
Amazon Q is excellent for AWS-native development—it's the best tool for generating secure, compliant cloud infrastructure code. But as a general-purpose AI coding assistant, it feels half-baked compared to Cursor.
Cursor wins because it doesn't just help you write code—it understands your codebase, your patterns, and your intent. The experience is faster, smarter, and more intuitive. For 90% of developers working outside the AWS bubble, Cursor is the obvious choice.
That said, if your daily work involves CloudFormation stacks and Lambda functions, Amazon Q is worth having alongside Cursor. They're not mutually exclusive—I use both, just for different things.
The screenshot above shows the same prompt in both tools—notice how Cursor provides a more contextual, multi-file suggestion while Amazon Q focuses on the open file.