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Sourcegraph is a code intelligence platform built for enterprise engineering teams to understand, oversee, and evolve large, complex codebases. Founded by Quinn Slack and Beyang Liu, Sourcegraph solves the problem of code growing faster than teams can understand or control it, especially as AI agents become more prevalent. The platform indexes all repositories across an entire codebase, providing complete context to both humans and AI agents. Core capabilities include Deep Search for natural language queries with grounded answers, an MCP Server that gives agents SCIP-powered context for reliable results, Code Search for exact deterministic search, Code Insights for tracking migrations and risk over time, Code Monitoring for alerting on code changes, Living Documentation for a continuously updated knowledge base, and Batch Changes for safe, large-scale refactoring. It fits workflows for engineering, security, product design, and go-to-market teams, and is trusted by over 200 enterprise organizations including Stripe.
4.7/5
High, consistent, and on-brand
Clean and minimal
To give humans and agents complete context to understand, oversee, and evolve large codebases.
Integrates with all major code hosts and IDEs, supports monorepos and multi-repo architectures, and offers an MCP server for AI agent integration.
Freemium with paid tiers
Features with the highest value for users are highlighted here.
Deep Search with natural language queries
MCP Server for agent context
Code Search with deterministic results
Code Insights for tracking migrations
Code Monitoring for change alerts
Living Documentation
Batch Changes for multi-repo updates
Enterprise authentication and compliance
Enterprise engineering teams
Security engineers
Product designers
Go-to-market teams
AI/ML engineers
DevOps/platform engineers
Technical leads
Open source maintainers
Compliance officers
Startup engineering teams
Free
Enterprise
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
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