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Amazon Q Developer

AWS AI coding assistant with code generation and security scanning

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AI coding assistant from AWS with inline code suggestions, chat, code transformation, and built-in security vulnerability scanning. Deep integration with AWS services and CLI makes it particularly powerful for cloud-native development. Helps developers modernize legacy code, optimize AWS resource usage, and implement security best practices across their entire development workflow.

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A detailed review by the aicoolies team — click to read

Amazon Q Developer is a generative AI assistant from AWS that provides real-time code suggestions, vulnerability scanning, autonomous feature implementation, and deep integration with AWS services across the software development lifecycle. It generates code suggestions ranging from snippets to full functions in over 25 programming languages based on your comments and existing code, and its agentic capabilities can autonomously implement features, write tests, refactor code, and perform software upgrades. Amazon Q Developer addresses the challenge of building and maintaining cloud-native applications by combining general-purpose coding assistance with AWS-specific expertise.

Amazon Q Developer stands out with industry-leading code acceptance rates, with enterprise customers reporting 37 to 50 percent acceptance of multi-line code suggestions. Its agentic mode can analyze existing codebases, map out step-by-step implementation plans spanning multiple files, and execute all required code changes and tests upon approval. The platform supports customization based on proprietary codebases across a wide range of languages including Java, Python, JavaScript, C#, C++, Go, Kotlin, Rust, and infrastructure-as-code tools like Terraform and CloudFormation. It also provides vulnerability scanning with instant remediation suggestions and preserves conversation history between sessions.

Amazon Q Developer is primarily designed for developers and engineering teams building on AWS who want AI assistance that understands both general coding patterns and AWS-specific services, APIs, and best practices. It integrates with VS Code, JetBrains IDEs, Visual Studio, Eclipse, and the AWS CLI, providing assistance wherever developers work. Compared to GitHub Copilot and other general-purpose AI coding assistants, Amazon Q Developer offers the strongest AWS ecosystem integration, making it the natural choice for teams whose infrastructure runs on Amazon Web Services.

Pricing

Free tier / Pro $19/user/mo

Platforms

VS Code, JetBrains, CLI, AWS Console

Categories

AI Coding AssistantsChat-based CodingAI Security & DevSecOps

Tags

Free TierVS Code ExtensionJetBrains PluginEnterprise

Use Cases

Code GenerationRefactoringSecurity AuditingFull-Stack DevelopmentVibe CodingAI-Powered Debugging

Alternatives

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Spec-driven coding subscriptions for Kiro IDE/CLI

Kiro Plans refers to the pricing and subscription structure for AWS's Kiro IDE, ranging from a perpetual free tier to enterprise-grade Power plans with varying levels of AI-assisted requests. Pricing distinguishes between two interaction types: spec requests initiated from structured task workflows, and vibe requests for chat-based coding assistance. Designed to scale from individual developers to professional teams building production software.

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Legacy Windsurf plan record folded into Devin pricing

Windsurf Plans is a legacy subscription and pricing entry for the former Windsurf IDE brand. After the June 2, 2026 transition to Devin Desktop, Windsurf pricing routes redirect to Devin pricing and plan decisions should be checked against current Devin Desktop / Devin plan pages. Keep this page only as historical context for old Windsurf-era comparisons and plan references.

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Comparisons

Amazon Q Developer vs Cursor — AWS-Native Assistant vs AI-First IDE

Amazon Q Developer and Cursor both help engineers ship code faster, but they meet different needs. Amazon Q Developer is strongest inside AWS-heavy teams that need cloud-aware guidance, modernization help, and console-to-code assistance. Cursor is an AI-first editor for day-to-day product engineering across many stacks. This comparison separates AWS-native acceleration from general-purpose coding flow.

Amazon Q DeveloperCursor

GitHub Copilot vs Amazon Q Developer — Universal Code Companion vs AWS-Native AI Assistant

GitHub Copilot and Amazon Q Developer are the two enterprise-backed AI coding assistants competing for developer adoption in 2026. Copilot's strength is universality—it works across languages, IDEs, and cloud providers. Amazon Q's strength is depth—it goes beyond code completion into AWS infrastructure awareness, security scanning, and cloud-native workflows. If you're evaluating which to deploy for your engineering team, the answer depends less on raw code quality and more on where your stack lives.

GitHub CopilotAmazon Q Developer