Cross-repository code and history search
Find literal, keyword or regex matches with file-path and language filters. Search symbols, commits and diffs, and organize repository sets at selected revisions.
Sourcegraph
Paid
Search and navigate code across repositories with Sourcegraph, investigate questions with cited AI answers and coordinate reviewed changes at scale.
O que é Sourcegraph?
Sourcegraph is a code understanding platform for engineering teams and AI agents working across multiple repositories. Code Search provides literal, keyword, regex and symbol search, while browser-based navigation connects definitions and references. Deep Search investigates natural-language codebase questions and returns answers with citations.
The platform also provides code insights, monitoring and MCP, API and CLI access for connected coding tools. Agentic Batch Changes adds a coordinated migration workflow: scope a change, run work across repositories, publish changesets and review them with CI and human approval.
O que Sourcegraph pode fazer?
Browser-based code navigation
Jump to definitions and references across repositories. SCIP semantic indexing supports precise navigation, with syntactic or search-based fallbacks when precise index data is unavailable.
Cited Deep Search answers
Ask a natural-language question about the codebase and investigate the response using its citations. The same cross-repository investigation can be made available to coding agents through MCP.
Agent and developer-tool access
Use the MCP server, GraphQL and REST APIs or CLI to access code search and context. Supported coding-tool connections include Claude Code, Cursor, Codex and Amp.
Insights and monitoring
Track migration, adoption and risk patterns over time with Code Insights, and alert teams or agents when monitored code changes.
Agentic changes across repositories
Describe a migration or provide a plan, then scope it with Deep Search and route work to scripts or coding agents. Isolated execution, changesets, CI feedback and approval controls support reviewing the rollout.
Casos de uso
“Find an implementation and its history”
Search for a symbol, pattern or error message across repositories, then inspect definitions, references, commits or diffs to investigate its context.
“Understand an unfamiliar system”
Use Code Search and natural-language Deep Search to locate relevant implementations and review cited answers while onboarding or investigating architecture.
“Coordinate a code migration”
Use Agentic Batch Changes to scope affected repositories, apply a planned update and review resulting changesets and CI feedback before merging.
“Give coding agents broader code context”
Connect a compatible coding tool through MCP or another supported interface so it can retrieve relevant cross-repository context for its work.
Perguntas frequentes
How is the enterprise platform priced?
The Enterprise plan starts at $16,000 with a minimum annual contract. It includes AI-feature credits and scales with team size; volume pricing is available through sales.
How is Agentic Batch Changes billed?
Confirm Agentic Batch Changes pricing and chargeable usage in the current commercial proposal. Do not assume that unmerged changesets are free unless that condition is explicitly included in the agreement.
Which deployment options are offered?
Sourcegraph offers single-tenant cloud and self-hosted deployment. Confirm Agentic Batch Changes availability, enablement and requirements for the selected deployment.
How are included AI credits managed?
Credits are included per user and pooled across the organization. They do not expire monthly. Purchased credit buckets roll over on renewal, and higher-volume buckets are an add-on.
Does a batch change bypass review?
No. Changes are published as changesets with CI in the workflow, and teams approve them before merging. A rollout can first be validated on a smaller repository set; agents can pause for clarification.
Informações rápidas
- Primary users
- Engineering teams and connected AI coding agents
- Core workflows
- Code search, navigation, cited AI investigation and coordinated changes
- Interfaces
- Web, MCP server, GraphQL/REST APIs and CLI
- Deployment
- Single-tenant cloud or self-hosted; individual feature conditions apply
- Commercial model
- Enterprise annual contract; Agentic Batch Changes billing subject to the current agreement
Análise de tráfego de Sourcegraph
Os dados de tráfego são apenas para referência.
- Classificação do domínio
- 80
