Sourcegraph Cody vs Continue

Detailed side-by-side comparison to help you choose the right tool

Sourcegraph Cody

🔴Developer

Developer Tools

Sourcegraph Cody is an enterprise AI coding assistant that uses Sourcegraph code context to help developers search, understand, write, and fix code.

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Starting Price

Enterprise packaging starts at $16K according to the fetched Sourcegraph pricing page. It includes AI feature credits and scales with team size; final seat, credit, and deployment terms are sales-confirmed.
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Continue

🔴Developer

Developer Tools

Open-source AI coding assistant for VS Code and JetBrains — bring any model, any MCP server, and share reusable rules and agents across your team via Continue Hub.

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Starting Price

Free
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Feature Comparison

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FeatureSourcegraph CodyContinue
CategoryDeveloper ToolsDeveloper Tools
Pricing Plans2 listed plans4 listed plans
Starting PriceEnterprise packaging starts at $16K according to the fetched Sourcegraph pricing page. It includes AI feature credits and scales with team size; final seat, credit, and deployment terms are sales-confirmed.Free
Key Features
  • • AI coding assistant for understanding, writing, and fixing code
  • • Available in VS Code, JetBrains, Visual Studio, Sourcegraph web app, and CLI
  • • Developer chat, code completions, code edits, and customizable prompts
  • • Multi-model AI support including OpenAI, Claude, Gemini, and local models
  • • Native IDE extensions for VS Code and JetBrains with smooth workflow integration
  • • MCP server connectivity for development toolchain integration

Sourcegraph Cody - Pros & Cons

Pros

  • ✓Codebase-wide context is useful for large repositories, monorepos, and cross-service discovery
  • ✓Supports multiple developer surfaces: VS Code, JetBrains, Visual Studio, web app, and CLI
  • ✓Enterprise plan includes Sourcegraph platform capabilities such as Full MCP Server, API, CLI, security/admin controls, and 24x5 support
  • ✓Strong fit for onboarding, code explanation, test generation, and finding existing implementation patterns

Cons

  • ✗Enterprise starting price of $16K can be too high for solo developers and small teams
  • ✗Final cost depends on seats, AI feature credits, deployment model, and support terms that must be confirmed with sales
  • ✗Quality depends on Sourcegraph indexing, repository permissions, codebase hygiene, and human code review
  • ✗Teams that only need lightweight autocomplete may find Cody more platform-heavy than necessary

Continue - Pros & Cons

Pros

  • ✓Open-source assistant for VS Code and JetBrains. This directly supports the primary workflow.
  • ✓Bring-your-own-model: Anthropic, OpenAI, Ollama, local, any provider.
  • ✓First-class MCP client — any MCP server becomes callable tools.
  • ✓Continue Hub for sharing assistants, rules, prompts across a team.

Cons

  • ✗At least one tier requires a sales quote, preventing a complete public budget calculation.
  • ✗Features and limits can change by plan, billing interval, region, and release; verify current documentation.
  • ✗MCP connectivity expands the permission surface and requires narrow scopes, approvals, logs, and credential rotation.
  • ✗A representative pilot is necessary because a feature list does not establish reliability or operational fit.

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