Amazon Q Developer vs JetBrains AI
Compare Amazon Q Developer and JetBrains AI by workflow, pricing, privacy, model support, and best use cases.
Amazon Q Developer
Choose Amazon Q Developer when your team builds, operates, or modernizes software on AWS and wants AI help across IDEs, AWS Console, security review, GitLab/GitHub workflows, and application transformation. Choose a provider-neutral agent or full AI IDE if model flexibility, local execution, or non-AWS workflows matter more.
JetBrains AI
JetBrains AI is a strong choice for developers and teams already committed to JetBrains IDEs who want AI assistance without leaving their existing language-specific workflow. It is less suitable for teams that want a standalone AI editor, a visual app builder, or unconstrained cloud-agent usage.
Amazon Q Developer
- Pricing model
- freemium
- Free plan
- Yes
- Open source
- No
- Local models
- No
- BYOK
- No
- Editor base
- VS Code
Key Differences
Workflow
Amazon Q Developer is an AWS-native AI coding assistant for developers and teams that want IDE coding help, agentic workflows, security review, modernization, and cloud operations guidance across the AWS software lifecycle.
JetBrains AI is an IDE-native AI coding assistant and agent layer for JetBrains IDEs, positioned as an integrated alternative to standalone AI editors and generic coding extensions.
compare.fields.editorBase
VS Code
JetBrains
compare.fields.localModels
No
Yes
BYOK
No
Yes
Feature Comparison
| Feature | Amazon Q Developer | JetBrains AI |
|---|---|---|
| Primary workflow | Amazon Q Developer is an AWS-native AI coding assistant for developers and teams that want IDE coding help, agentic workflows, security review, modernization, and cloud operations guidance across the AWS software lifecycle. | JetBrains AI is an IDE-native AI coding assistant and agent layer for JetBrains IDEs, positioned as an integrated alternative to standalone AI editors and generic coding extensions. |
| Type | extension | extension |
| Editor base | VS Code | JetBrains |
| Pricing model | freemium | freemium |
| Starting price | $0 | $10 |
| Free plan | Yes | Yes |
| Open source | No | No |
| Local models | No | Yes |
| BYOK | No | Yes |
| Platforms | VS Code, JetBrains IDEs, IntelliJ IDEA, PyCharm, WebStorm, Visual Studio 2022 for Windows, Eclipse, AWS Console, AWS Console Mobile Application, GitLab Duo, GitHub and GitHub Enterprise Cloud preview, Microsoft Teams, Slack, AWS websites and documentation pages, Kiro CLI migration path | IntelliJ IDEA, PyCharm, WebStorm, Rider, GoLand, PhpStorm, CLion, RubyMine, RustRover, DataGrip, DataSpell, Android Studio, ReSharper, Windows, macOS, Linux |
| Models | Claude | Claude 4.7 Opus, Claude 4.6 Opus, Claude 4.6 Sonnet, Claude 4.5 Sonnet, Gemini 3.5 Flash, Gemini 3.1 Pro, Gemini 3 Flash, Gemini 2.5 Pro, GPT-5.5, GPT-5.4, GPT-5.3 Codex, GPT-5-Codex, GPT-5, GPT-4.1, GPT-4o, o3, o4-mini, Grok-4.3, Ollama, LM Studio, OpenAI-compatible providers |
| Enterprise features | IAM Identity Center support, Admin dashboard, User management, Policy management, Organization billing, Pro subscriptions, Data collection automatically opted out for Pro, IP indemnity for Pro, Reference tracking, Suppress public code suggestions, AWS IAM-aware context, AWS Console integration, GitLab Duo integration, GitHub preview integration, Microsoft Teams integration, Slack integration, Security scanning, Transformation quotas pooled at payer-account level | AI Enterprise tier through JetBrains IDE Services, Centralized license and quota management, Organization-level top-up AI Credits, JetBrains Account administration, BYOK configuration, Local model configuration, MCP Server controls, Exposed tool management for MCP, Enterprise support and custom features |
| Best for | AWS developers, Cloud application teams, Serverless and infrastructure teams, Java modernization projects, .NET modernization projects, Security scanning in IDE workflows, AWS cost and resource investigation, Teams using IAM Identity Center, GitLab Duo users building with AWS, Developers who want AI help across IDE and AWS Console workflows, Organizations that need AWS-native governance and admin controls | JetBrains IDE users who want AI inside their existing editor workflow, Java, Kotlin, Python, JavaScript, TypeScript, .NET, Go, PHP, Ruby, Rust, C/C++, SQL, and data developers, Teams that rely on JetBrains inspections, refactoring, run configurations, and debugging tools, Developers who want both code assistant features and agentic coding through Junie, Organizations that want BYOK, local model, and MCP-based AI workflow options |
| Not best for | Teams that are not invested in AWS, Developers who want local model execution, Users who need provider-neutral BYOK model routing, Non-technical users looking for prompt-to-app builders, Developers who want a full standalone AI IDE, Teams that need open-source agent runtime control, Workflows where AI agents cannot read files, write diffs, or run shell commands | Developers who primarily use VS Code and do not want to move into JetBrains IDEs, Teams looking for a browser-based AI app builder or prompt-to-app platform, Workflows that require unlimited cloud agent usage without credit-based quotas, Organizations in unsupported territories or environments where cloud LLM processing is not allowed, Users who want a fully open-source AI coding assistant |
Use Case Winners
Amazon Q Developer is built around a VS Code editor workflow.
JetBrains AI supports local model workflows.
Amazon Q Developer lists more team or enterprise controls.
JetBrains AI has stronger frontend or web workflow signals.
JetBrains AI supports more model/provider options or BYOK-style workflows.
Neither tool shows a strong signal for this use case in the current structured data.
Pricing Comparison
Amazon Q Developer
- Free Tier$0 / month
Perpetual free tier with monthly limits, including 50 agentic requests per month and up to 1,000 lines of code per month for supported transformations.
- Amazon Q Developer Pro$19 / user/month
Expanded usage limits, latest Claude model access, IDE/CLI use, Identity Center support, admin dashboard, policy management, data opt-out by default, and IP indemnity.
- Transformation overage$0.003 / line of code
Applies to Amazon Q Developer transformation usage above included Pro allocations for eligible Java upgrade transformations.
- GitLab Duo with Amazon QGitLab plan-dependent
Available through supported GitLab workflows and tiers; use depends on GitLab Duo and AWS integration setup.
- Enterprise / Organization useUsage-based
Managed through AWS accounts, IAM Identity Center, subscriptions, quotas, governance, and AWS organization billing.
JetBrains AI
- AI Free$0 / month
Free tier with limited AI Credits and access to selected JetBrains AI features.
- AI Pro$10 / user/month
Regular AI-assisted coding, AI chat, and limited agent usage with 10 AI Credits per 30 days.
- AI Ultimate$30 / user/month
Higher quota for frequent coding-agent usage with 35 AI Credits per 30 days.
- AI EnterpriseCustom
Enterprise tier for organizations using JetBrains IDE Services with additional administration and custom features.
- Top-up AI CreditsUsage-based
Optional AI Credit top-ups for eligible paid plans when monthly quota is exhausted.
Privacy & Security
Amazon Q Developer
Amazon Q Developer can process prompts, code context, local project files, diffs, shell output, security scan context, AWS resource metadata, GitLab or GitHub workflow context, and chat content depending on where it is used. AWS states that Amazon Q Developer Pro proprietary content is not used for service improvement, while the Free tier provides opt-out controls. Teams should still avoid exposing secrets, credentials, regulated data, or production tokens in prompts, files, terminal output, repositories, or connected chat and DevOps tools.
JetBrains AI
JetBrains AI features may send prompts, selected code, file types, framework information, and other necessary context to LLM providers. JetBrains documentation says detailed AI feature usage data collection is opt-in, disabled by default, kept confidential, and not shared externally. Teams handling sensitive code should review JetBrains data handling, BYOK, local model, and enterprise controls before rollout.
Choose Amazon Q Developer if...
- AWS developers
- Cloud application teams
- Serverless and infrastructure teams
- Java modernization projects
- .NET modernization projects
Choose JetBrains AI if...
- JetBrains IDE users who want AI inside their existing editor workflow
- Java, Kotlin, Python, JavaScript, TypeScript, .NET, Go, PHP, Ruby, Rust, C/C++, SQL, and data developers
- Teams that rely on JetBrains inspections, refactoring, run configurations, and debugging tools
- Developers who want both code assistant features and agentic coding through Junie
- Organizations that want BYOK, local model, and MCP-based AI workflow options
Avoid Amazon Q Developer if...
- Teams that are not invested in AWS
- Developers who want local model execution
- Users who need provider-neutral BYOK model routing
- Non-technical users looking for prompt-to-app builders
- Developers who want a full standalone AI IDE
Avoid JetBrains AI if...
- Developers who primarily use VS Code and do not want to move into JetBrains IDEs
- Teams looking for a browser-based AI app builder or prompt-to-app platform
- Workflows that require unlimited cloud agent usage without credit-based quotas
- Organizations in unsupported territories or environments where cloud LLM processing is not allowed
- Users who want a fully open-source AI coding assistant