Augment Code vs Sourcegraph Cody
Compare Augment Code and Sourcegraph Cody by workflow, pricing, privacy, model support, and best use cases.
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.
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.
Key Differences
Workflow
Augment Code is an enterprise-focused AI coding platform for teams working in large repositories, existing IDEs, terminals, and automated engineering workflows.
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
paid
enterprise
BYOK
No
Yes
compare.fields.openSource
No
Yes
Feature Comparison
| Feature | Augment Code | Sourcegraph Cody |
|---|---|---|
| Primary workflow | Augment Code is an enterprise-focused AI coding platform for teams working in large repositories, existing IDEs, terminals, and automated engineering workflows. | 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 | code-assistant | extension |
| Editor base | VS Code | VS Code |
| Pricing model | paid | enterprise |
| Starting price | $100 | $16000 |
| Free plan | No | No |
| Open source | No | Yes |
| Local models | No | No |
| BYOK | No | Yes |
| Platforms | VS Code, JetBrains IDEs, Vim, Neovim, CLI, Browser-based Cosmos cloud agent platform, GitHub, Slack, Linear | VS Code, JetBrains IDEs, Visual Studio, Sourcegraph Web, Cody CLI, GitHub, GitLab, Sourcegraph Cloud, Sourcegraph self-hosted |
| Models | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 Augment Code and Sourcegraph Cody have comparable signals here.
Sourcegraph Cody has BYOK or model-routing flexibility.
Augment Code lists more team or enterprise controls.
Both Augment Code 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
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.
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
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.
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 Augment Code if...
- Enterprise engineering teams
- Large monorepos
- Production refactors
- Repository-scale debugging
- Teams that want AI agents inside existing IDEs
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 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
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