Sourcegraph Deep Search vs Continue
Detailed side-by-side comparison to help you choose the right tool
Sourcegraph Deep Search
🔴DeveloperDeveloper Tools
AI-assisted code search for investigating relationships and behavior across large codebases
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Starting Price
Starts at $16,000/year; annual minimumContinue
🔴DeveloperDeveloper 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
FreeFeature Comparison
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Sourcegraph Deep Search - Pros & Cons
Pros
- ✓Surfaces cross-repository relationships
- ✓Serves humans and agents through several interfaces
- ✓Enterprise deployment options
Cons
- ✗$16,000 minimum excludes small teams
- ✗AI credits add variable cost
- ✗Results need runtime verification
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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