Amazon Q Developer vs Augment Code
Compare Amazon Q Developer and Augment Code 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.
Augment Code
Choose Augment Code when the main problem is applying AI to large, real-world codebases without forcing developers to abandon their current IDEs. It is less attractive as a cheap personal autocomplete tool, but strong for teams that value deep context, cloud agents, code review, automation, and enterprise controls.
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.
Augment Code is an enterprise-focused AI coding platform for teams working in large repositories, existing IDEs, terminals, and automated engineering workflows.
Pricing
freemium
paid
Feature Comparison
| Feature | Amazon Q Developer | Augment Code |
|---|---|---|
| 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. | Augment Code is an enterprise-focused AI coding platform for teams working in large repositories, existing IDEs, terminals, and automated engineering workflows. |
| Type | extension | code-assistant |
| Editor base | VS Code | VS Code |
| Pricing model | freemium | paid |
| Starting price | $0 | $100 |
| Free plan | Yes | No |
| Open source | No | No |
| Local models | No | No |
| BYOK | No | No |
| 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 | VS Code, JetBrains IDEs, Vim, Neovim, CLI, Browser-based Cosmos cloud agent platform, GitHub, Slack, Linear |
| Models | Claude | Claude Fable 5, Claude Haiku 4.5, Claude Opus 4.5, Claude Opus 4.6, Claude Opus 4.7, Claude Sonnet 4.5, Claude Sonnet 4.6, Gemini 3.1 Pro, GPT-5.1, GPT-5.2, GPT-5.4, GPT-5.5, Kimi K2.6, Prism |
| 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 | SSO, OIDC, SCIM, SOC 2 Type II, Security reports, CMEK, ISO 42001 compliance, SIEM integration, Data residency options, Granular access controls, Comprehensive audit trails, Custom usage, Custom top-ups, Unlimited users, Multi-region compute, Custom size compute, Unlimited concurrent sessions, Dedicated support, Usage analytics, Advanced code review analytics, User allowlists, Multi-org GitHub support, Unlimited seats and repositories for enterprise code review |
| 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 | Enterprise engineering teams, Large monorepos, Production refactors, Repository-scale debugging, Teams that want AI agents inside existing IDEs, Teams using JetBrains who do not want to switch to a VS Code fork, Cloud agent automation, AI-assisted code review, Migration and modernization projects, Incident investigation and security remediation workflows |
| 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 | Solo developers looking for the cheapest autocomplete tool, Users who want a full standalone AI IDE replacement, Teams requiring fully local model execution, Workflows that need BYOK model routing as a core documented feature, Projects where usage-based AI billing is unacceptable, Users whose main need is simple line-by-line code completion on a low-cost plan |
Use Case Winners
Both Amazon Q Developer and Augment Code have comparable signals here.
Both Amazon Q Developer and Augment Code have comparable signals here.
Augment Code lists more team or enterprise controls.
Both Amazon Q Developer and Augment Code have comparable signals here.
Augment Code 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.
Augment Code
- Business$100 / month
Flat monthly plan for up to 50 seats with $100/month of usage included across LLM, Context Engine, and Cosmos compute.
- EnterpriseCustom
Custom usage, unlimited users, advanced security, SSO/OIDC/SCIM, compliance options, multi-region compute, and dedicated support.
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.
Augment Code
Augment states that paid plans do not allow AI training on customer data. The platform processes codebase context, prompts, model requests, repository metadata, tool calls, and cloud-agent session data to provide its Context Engine, IDE clients, CLI, Cosmos, and automation features. Enterprise buyers should review the Trust Center, data residency, CMEK, audit trail, SIEM, and access-control options before using it with regulated or highly confidential code.
Choose Amazon Q Developer if...
- AWS developers
- Cloud application teams
- Serverless and infrastructure teams
- Java modernization projects
- .NET modernization projects
Choose Augment Code if...
- Enterprise engineering teams
- Large monorepos
- Production refactors
- Repository-scale debugging
- Teams that want AI agents inside existing IDEs
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 Augment Code if...
- Solo developers looking for the cheapest autocomplete tool
- Users who want a full standalone AI IDE replacement
- Teams requiring fully local model execution
- Workflows that need BYOK model routing as a core documented feature
- Projects where usage-based AI billing is unacceptable