Amazon Q Developer vs. Cursor Comparison


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About Amazon Q Developer is a generative AI–powered coding assistant from AWS that helps developers accelerate the entire software development lifecycle. It integrates directly into popular IDEs like JetBrains, VS Code, Visual Studio, and Eclipse, providing real-time code suggestions, refactoring, documentation, and debugging assistance. Beyond coding, Amazon Q Developer supports agentic capabilities—autonomously performing tasks like feature implementation, testing, and modernization of applications. As an AWS-native expert, it helps optimize cloud resources, diagnose issues, and guide users through architectural best practices. The platform also enables seamless data and AI integration, allowing developers to build analytics and ML applications using natural language. With up to 80% faster development speed and 40% productivity gains, Amazon Q Developer delivers enterprise-grade intelligence directly inside the tools developers use every day.	About Cursor is an AI coding agent and development platform for building ambitious software faster. The platform lets developers hand off tasks to agents that can build, test, demo, and prepare features for review. Cursor supports autonomous and parallel agent workflows, including cloud agents that can work on multiple tasks across repositories. It runs across the editor, terminal, Slack, and GitHub, helping teams automate coding, code review, PR workflows, and repetitive engineering work. Cursor also lets users choose from leading AI models for different tasks, including models from OpenAI, Anthropic, Gemini, SpaceXAI, and Cursor. Built for developers, engineering teams, and enterprises, Cursor helps accelerate software development while keeping humans focused on decisions and review.
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Software engineers, DevOps teams, and enterprise developers seeking a secure, AI-driven coding assistant that integrates with AWS and leading IDEs to automate development tasks, boost productivity, and modernize applications efficiently	Audience Developers, engineering teams, software companies, startups, enterprise engineering organizations, product teams, DevOps teams, AI coding teams, code reviewers, and technical leaders that need AI coding agents, autonomous development, cloud agents, parallel task execution, code review, CLI workflows, Slack collaboration, GitHub integration, model choice, automations, and secure software development at scale
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing $19/month Free Version Free Trial	Pricing $20/month Free Version Free Trial
Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 4.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews	Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews
Pros & Cons from Real Users Pros Integrates well with my IDE (VS Code), can scan my repo, understands context, i can undo any changes it has made with one click, can build a full app from scratch with my prompts and directions. Cons NO CLI capability yet which I think this is where Claude Code excels better. I think the Amazon team should find a way to integrate the CLI feature into Amazon Q.	Pros & Cons from Real Users Pros Cursor is one of the best AI coding tools because it feels built around how developers actually work. It is not just autocomplete; it can understand a repo, make edits, explain code, help debug, and work through bigger tasks with an agentic workflow. I like that it combines the familiar feel of a code editor with deeper AI features like Agent mode, project rules, MCP, skills, and CLI support. That makes it useful for everyday coding, but also flexible enough for more advanced workflows. The model options and pricing controls are also helpful. Being able to choose stronger or cheaper models depending on the task makes Cursor easier to fit into a real development routine. I'm a novice to intermediate programmer and I've always felt a bit overwhelmed by editors. I've been learning to code by copy and pasting a million times into chatgpt. Switching to cursor saves me so much time, and I love how easy it is to give it the context. It has this awesome feature where you can upload docs into it and it can go pull the docs when answering questions, which was one of my biggest pain points as a user when AI would give me old docs or out of date code. Another epic feature was the natural language terminal commands, which have allowed me to get through projects i previously would get stuck on. Cons I don't have any cons about Cursor. Use it daily in my development. No IDE is perfect, but this one is by far my favorite. I think most of the cons lie in the limitations of the AI models right now. I think the code interpreter is a littley sketchy to use becuase it's hard to see exactly what code its suggesting I change so I ran into some issues when using it without double checking the work, but it also saved me in a couple spots I got stuck.
Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information Amazon Founded: 1994 United States aws.amazon.com/q/developer/	Company Information Cursor Founded: 2022 United States www.cursor.com
Alternatives Amazon Q Business Amazon	Alternatives JetBrains Junie JetBrains
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Categories Agentic AI Agentic CLI Coding Tools AI Code Generators AI Code Refactoring AI Code Review AI Coding Agents AI Coding Assistants AI-Augmented Code Modernization Tools Application Modernization	Categories Agentic AI Agentic CLI Coding Tools AI Code Generators AI Code Refactoring AI Code Review AI Coding Agents AI Coding Assistants AI Copilots AI IDEs Code Editors IDE Pair Programming Vibe Coding

Integrations GitHub OpenSpec Slack Bito CLion Claude Sonnet 4.6 Gemini 3.5 Pro Grok 4.7 Hook0 Josys Kastra Mailtrap Oxylabs Pensero Prefactor SchemaFlow Solid Supermodel T3 Code Ximilar Show More Integrations View All 33 Integrations	Integrations GitHub OpenSpec Slack Bito CLion Claude Sonnet 4.6 Gemini 3.5 Pro Grok 4.7 Hook0 Josys Kastra Mailtrap Oxylabs Pensero Prefactor SchemaFlow Solid Supermodel T3 Code Ximilar Show More Integrations View All 290 Integrations
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