Amazon Q Developer vs Sourcegraph Cody
Compare Amazon Q Developer and Sourcegraph Cody 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.
Sourcegraph Cody
Sourcegraph Cody is strongest when paired with Sourcegraph Enterprise and large-scale code search. It is less suitable as a personal AI coding tool now that Cody Free and Cody Pro have been discontinued.
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.
Sourcegraph Cody is an enterprise AI coding assistant focused on codebase-aware chat, code edits, completions, and context retrieval across large multi-repository environments.
Pricing
freemium
enterprise
BYOK
No
Yes
compare.fields.openSource
No
Yes
Feature Comparison
| Feature | Amazon Q Developer | Sourcegraph Cody |
|---|---|---|
| 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. | Sourcegraph Cody is an enterprise AI coding assistant focused on codebase-aware chat, code edits, completions, and context retrieval across large multi-repository environments. |
| Type | extension | extension |
| Editor base | VS Code | VS Code |
| Pricing model | freemium | enterprise |
| Starting price | $0 | $16000 |
| Free plan | Yes | No |
| Open source | No | Yes |
| Local models | No | No |
| 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 | VS Code, JetBrains IDEs, Visual Studio, Sourcegraph Web, Cody CLI, GitHub, GitLab, Sourcegraph Cloud, Sourcegraph self-hosted |
| Models | Claude | Claude Opus 4.5, Gemini 3 Pro, GPT-5.1, OpenAI 4.1, OpenAI 4.1-mini, OpenAI 4.1-nano, OpenAI o3, OpenAI o4-mini, Google Gemini 2.5 Flash Preview, Google Gemini 2.5 Pro Preview, Claude 3.5 Sonnet, Amazon Bedrock, Azure OpenAI, Google Cloud Vertex AI |
| 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 | Sourcegraph Enterprise support, Single-tenant cloud, Self-hosted deployment, Enterprise admin and security controls, SSO and RBAC through Sourcegraph platform, Context Filters, Cody Gateway, Enterprise model selection, Org-wide AI credit pooling, Sourcegraph Code Search integration, MCP Server access, GraphQL and REST APIs, CLI access, 24x5 support with upgrade options |
| 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 teams with large monorepos or multi-repository architectures, Organizations already using Sourcegraph Code Search and code intelligence, Developers who need AI answers grounded in remote repository context, Security-conscious teams that need context filtering and enterprise controls, Teams that want AI assistance inside existing IDEs rather than switching editors |
| 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 | Individual developers looking for a low-cost personal AI coding assistant, Teams that want a standalone AI-native editor, Users looking for a fully autonomous coding agent that takes issues end-to-end, Organizations that do not plan to deploy or buy Sourcegraph Enterprise, Developers who need local model execution as a primary feature |
Use Case Winners
Both Amazon Q Developer and Sourcegraph Cody have comparable signals here.
Sourcegraph Cody has BYOK or model-routing flexibility.
Amazon Q Developer lists more team or enterprise controls.
Both Amazon Q Developer and Sourcegraph Cody have comparable signals here.
Sourcegraph Cody supports more model/provider options or BYOK-style workflows.
Sourcegraph Cody is marked as open source.
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.
Sourcegraph Cody
- Sourcegraph EnterpriseFrom $16K
Enterprise platform plan that includes credits for AI features and scales with team size.
- Cody EnterpriseContact sales
Enterprise-supported Cody access for Sourcegraph customers; Cody Free, Cody Pro, and Enterprise Starter Cody access were discontinued in 2025.
- Volume AI CreditsCustom
Additional volume credit buckets are available as add-ons for AI feature usage.
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.
Sourcegraph Cody
Cody collects prompts and responses to provide the service, and Sourcegraph documentation says it does not use user data to train models. Sourcegraph AI Terms state that Sourcegraph and partner LLMs do not use customer code to train models, and partner LLMs use zero-retention handling for inputs, outputs, and candidate context when accessed through Sourcegraph Partner LLMs. Enterprise teams should review AI Terms, Context Filters, Cody Gateway, model routing, self-hosting, and codehost permissions before rollout.
Choose Amazon Q Developer if...
- AWS developers
- Cloud application teams
- Serverless and infrastructure teams
- Java modernization projects
- .NET modernization projects
Choose Sourcegraph Cody if...
- Enterprise teams with large monorepos or multi-repository architectures
- Organizations already using Sourcegraph Code Search and code intelligence
- Developers who need AI answers grounded in remote repository context
- Security-conscious teams that need context filtering and enterprise controls
- Teams that want AI assistance inside existing IDEs rather than switching editors
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 Sourcegraph Cody if...
- Individual developers looking for a low-cost personal AI coding assistant
- Teams that want a standalone AI-native editor
- Users looking for a fully autonomous coding agent that takes issues end-to-end
- Organizations that do not plan to deploy or buy Sourcegraph Enterprise
- Developers who need local model execution as a primary feature