Sourcegraph
To bring code search to every company and developer, making it so everyone can code by helping developers understand, write, and fix code faster across large, complex codebases.
At a Glance
- Enterprise software development teams
- Large technology companies
- Financial services and banks
- E-commerce platforms
- +6 more
AI Tools by Sourcegraph
(2)
Amp
Agentic AI Coding Tool
Sourcegraph Cody
AI Coding Assistant with Codebase Context
Discussions
No discussions yet
Be the first to start a discussion about Sourcegraph
Latest News
New AI Models Available for Cody Enterprise - Added Claude Opus 4.5, Gemini 3 Pro, and GPT-5.1
Sourcegraph spins out Amp as independent company; Dan Adler becomes CEO
Introducing Deep Search: A faster way to understand your code
Sourcegraph Cody is Generally Available - Launch of Cody 1.0
Products & Services
Universal code search platform that allows developers to search for code across thousands of repositories and languages. Includes Deep Search (launched June 2025), Symbol Search, Code Navigation, and Code Monitoring. Supports all popular coding languages and code hosts including GitHub, GitLab, Bitbucket, Gerrit, and Perforce.
AI coding assistant that uses intelligent code context to answer technical questions, generate code, and suggest completions. Features include autocomplete, context-aware chat, commands, custom prompts, inline edits, and experimental agents. Supports multiple LLMs including Claude 3.5 Sonnet, GPT-4o, Claude Opus 4.5, Gemini 3 Pro, and GPT-5.1. Available for VS Code, JetBrains, Visual Studio, Eclipse, web browser, and CLI.
Agentic code search tool that allows users to ask natural-language questions about codebases and returns structured, navigable answers. Uses underlying search and code navigation to explore code, run queries, follow references, and summarize findings.
Automates large-scale code changes across all repositories and code hosts. Enables bulk refactors, security fixes, and migrations. Allows users to change code everywhere with a single declarative file, track changesets through checks and code reviews, and manage changes until merged.
Market Position
Sourcegraph positions itself as the enterprise code intelligence platform with superior codebase understanding compared to competitors. Unlike GitHub Copilot which is limited to single repositories and GitHub-hosted code, Sourcegraph Cody provides comprehensive multi-repository context across all code hosts (GitHub, GitLab, Bitbucket, Perforce, Gerrit). Key differentiators include: (1) Context Engine that searches and navigates entire codebases rather than simple local context, (2) Flexibility in AI infrastructure with self-hosted options and support for multiple LLMs, (3) Enterprise-grade security and compliance (SOC2, ISO27001), (4) Zero vendor lock-in with support for all major code hosts, and (5) Agentic capabilities through Deep Search and MCP integration. Sourcegraph claims higher code quality through better context awareness and reduced hallucinations.
Leadership
Founders
Quinn Slack
Co-founder and CEO. Taught himself to code at age nine. Previously co-founded Blend Labs (an enterprise technology company for U.S. banks) and worked as an engineer at Palantir. Holds a BS in Computer Science from Stanford.
Beyang Liu
Co-founder and CTO. Started his career as an engineer at Google, where he used Google's internal Code Search product. Also worked at Palantir where he met Quinn Slack.
Executive Team
Dan Adler
Chief Executive Officer
Former VP of Operations. CS major and programmer who wrote Sourcegraph's original data infrastructure. Former CFO with hundreds of commits to the production codebase.
Beyang Liu
CTO and Co-founder (Board Member)
Started career as engineer at Google using Google's internal Code Search. Worked at Palantir before co-founding Sourcegraph.
Board of Directors
Founding Story
Quinn Slack and Beyang Liu met while working at Palantir. They realized that universal access to code search was not a standard in the industry despite its transformative power at companies like Google. They decided to start Sourcegraph on April 1, 2013 to bring those tools to every company and developer. Their mission was to tame and eventually automate the tedious parts of working in big, messy codebases.
Business Model
Revenue Model
SaaS subscription-based business model with tiered pricing based on user count and features. Revenue from API usage, subscriptions, and enterprise licenses. Also generates $5M to $10M in annualized revenue from ads in the free tier.
Pricing Tiers
Code search with enterprise-level security, scalability, and flexibility. Includes Deep Search (3 searches per seat after Oct 15, 2025), Code Search, Symbol Search, Batch Changes, Code Insights, Code Navigation, Code Monitoring. Single-tenant cloud deployment. 24x5 support with options for CSM and Premium Support.
Limited version of Cody with rate limits. As of June 2024, not accepting new signups.
Full Cody features. As of June 2024, not accepting new signups.
Enterprise-grade Cody with access to latest AI models (Claude Opus 4.5, Gemini 3 Pro, GPT-5.1), multi-repository context, self-hosted options, and enterprise security features.
For teams up to 50 developers. Supports up to 100 GitHub private and public repositories. As of June 2024, new workspaces do not include Cody.
Business plan features as noted in research sources.
Target Markets
- Enterprise software development teams
- Large technology companies
- Financial services and banks
- E-commerce platforms
- AI research labs
- Organizations with large, complex codebases
- Understanding and navigating large, complex codebases
- Finding and fixing code across multiple repositories
- Large-scale code refactoring and migrations
- Security vulnerability fixes and GDPR compliance
- Deprecating legacy code
- API migrations and library replacements
- Uber
- Amazon
- Lyft