Sourcegraph Review (2026): Pricing, Verdict & Alternatives
Last updated: 2026-07-01
Sourcegraph is an enterprise-only code intelligence platform with the AI assistant Cody for cross-repository semantic search and code understanding at massive scale.
Sourcegraph is an enterprise-only code intelligence platform with AI assistant Cody for cross-repository semantic search and context-aware code generation across million-line codebases. As of July 2025, Sourcegraph discontinued its Free and Pro tiers to focus exclusively on enterprise deployments; pricing is available through direct enterprise sales.
Screenshots
Pricing
Enterprise plan at $59/user/month (annual, billed per seat). Free and Pro plans were fully discontinued on July 23, 2025. Individual developers can use Sourcegraph Amp (separate free product) instead.
Feature Comparison by Tier
| Feature | Cody Enterprise | Self-hosted Enterprise |
|---|---|---|
| Cloud deployment | ✓ | ✓ |
| Semantic code search | ✓ | ✓ |
| Cody AI assistant | ✓ | ✓ |
| Cross-repo context (up to 10 repos) | ✓ | ✓ |
| IDE extensions (VS Code/JetBrains) | ✓ | ✓ |
| Code insights dashboards | ✓ | ✓ |
| SAML/SSO authentication | ✓ | ✓ |
| Model choice flexibility | ✓ | ✓ |
| Context filters for compliance | ✓ | ✓ |
Key Features
- Semantic Code Search: Search entire codebase with regex and Comby pattern matching, not just text matching.
- AI Assistant Cody: LLM-powered assistant uses code graph and search to explain code, refactor, write with full codebase context.
- Code Navigation: Jump-to-definition, find references, smart IDE-like browsing on any branch or PR.
- Code Insights: Dashboard visualizations of code patterns, tech debt, and codebase health metrics.
- Enterprise Scale: Indexes 100 to 1M+ repositories simultaneously with lightning-fast performance.
Pros
- Semantic search goes beyond simple text matching; understands code structure and relationships.
- Cody AI uses full codebase context enabling more accurate refactoring and understanding.
- Self-hosted option enables on-premise deployments for regulated industries.
Cons
- No free or individual plans — Free and Pro tiers discontinued July 2025.
- Steep learning curve for traditional grep/IDE users; different mental model required.
- Enterprise pricing deters small teams and open source projects.
Product Information
- Cloud
- Yes
- Self-Hosted
- Yes
- On-Premise
- Yes
- Languages
- English
- Training
- Documentation, API Reference, Video Tutorials, Direct Enterprise Support
Frequently Asked Questions
What is Sourcegraph and who built it?
Sourcegraph is a code intelligence platform founded in 2013 by Quinn Slack and Beyang Liu, headquartered in San Francisco. It indexes entire codebases, including ones spanning millions of lines across hundreds of repositories, so developers can run cross-repository code search and get AI-assisted answers grounded in the real code rather than guesses. Its AI assistant, Cody, uses that code search index to retrieve relevant files and functions before generating chat responses, autocomplete, or edits. Sourcegraph has raised a total of $245 million across funding rounds, with a 2021 valuation of $2.6 billion, and is used at companies including Dropbox, Stripe, and Canva. As of July 2025, Sourcegraph repositioned the product as an enterprise-only platform, ending free and self-serve plans.
How much does Sourcegraph cost?
Sourcegraph discontinued its Cody Free and Cody Pro plans for new signups on June 25, 2025, and fully retired both, along with Enterprise Starter, on July 23, 2025. As of June 2026, the platform is enterprise-only: Cody Enterprise is priced at $59 per user per month on an annual contract, which includes code search, AI chat, autocomplete, and single-tenant deployment options. Separately, reported enterprise contract values for the broader Sourcegraph code intelligence platform range from about $15,000 per year for small teams of 10 to 25 developers up to $250,000 or more for deployments covering hundreds of developers. There is no published self-serve checkout; all enterprise pricing requires a direct sales conversation.
What does Sourcegraph do that competitors don't?
Sourcegraph's core differentiator is whole-codebase context: Cody Enterprise can pull relevant code from up to 10 repositories at once so its answers reflect how a system actually fits together, not just the open file. This matters most for organizations with codebases spanning hundreds of repos and millions of lines, where tools like GitHub Copilot or Cursor, which mainly reason over the open file or a single repo, lose accuracy. Sourcegraph also supports model flexibility, letting enterprise admins choose which large language model (LLM) powers Cody rather than locking teams into one vendor. Combined with single-tenant deployment options, this makes it a fit for regulated industries that need code search and AI assistance to stay inside their own infrastructure.
How does Sourcegraph compare to GitHub Copilot?
GitHub Copilot starts at $10/month for individuals and is built into the GitHub and VS Code ecosystem, making it the cheaper and easier entry point for solo developers and small teams. Sourcegraph's Cody Enterprise costs $59/user/month on an annual contract and targets large organizations with sprawling, multi-repository codebases rather than individuals. Copilot's context window is generally limited to the files open in the editor and recently viewed code, while Cody Enterprise indexes and retrieves from up to 10 repositories simultaneously, giving it an edge on cross-repo questions like 'where else is this function used.' Pick Copilot for individual productivity at low cost; pick Sourcegraph if your team needs AI answers that understand a large, multi-repo enterprise codebase and you can justify enterprise contract pricing.
Is Sourcegraph free to use?
No, as of July 23, 2025, Sourcegraph discontinued its free Cody plan along with Cody Pro and Enterprise Starter, ending the self-serve and free options that previously existed. Individuals and small teams who relied on the free tier were directed by Sourcegraph toward Amp, a separate agentic coding tool the company built for multi-step edits and frontier-model workflows. The only remaining Sourcegraph product line, Cody Enterprise, starts at $59 per user per month on an annual contract and is sold through direct sales, with no free trial advertised publicly. Anyone evaluating Sourcegraph today should expect to start a sales conversation rather than sign up with a credit card.
Who is Sourcegraph best for, and who should avoid it?
Sourcegraph is best for engineering organizations with large, multi-repository codebases, the kind of environment with 250,000+ repositories across an industry the way Sourcegraph itself describes its reach, where developers regularly need to search across services to understand how code connects. Companies like Dropbox, Stripe, and Canva are reported users, which signals a fit for mid-size to large engineering teams with dedicated platform or developer-experience budgets. Solo developers, startups, or small teams should avoid Sourcegraph since the $59/user/month Cody Enterprise pricing and sales-only onboarding make it impractical below a certain headcount; Sourcegraph itself points smaller users toward Amp instead. Teams that just need inline code completion in a single repo are also better served by cheaper tools like GitHub Copilot.
Does Cody work inside major IDEs like VS Code and JetBrains?
Yes, Cody ships as an extension for VS Code and JetBrains IDEs (IntelliJ, PyCharm, WebStorm, and others), bringing chat, autocomplete, and code search into the editor. One documented limitation is that Cody does not start in Android Studio because the JCEF (Java Chromium Embedded Framework) component it relies on isn't supported there; Sourcegraph's troubleshooting docs describe disabling a specific registry key and switching the IDE's boot runtime as a fix. GPT-4 and GPT-4o based completions have also had a documented bug causing failed completions for some users, which Sourcegraph's support docs track. For enterprise customers, Cody integrates with SSO/SAML for authentication, and login issues are generally resolved by running a logout and login cycle through the Cody CLI.
Does Sourcegraph or Cody train AI models on customer code?
Sourcegraph's enterprise positioning is built around keeping customer code inside the customer's own infrastructure: Cody Enterprise supports single-tenant deployment so the code index and chat history stay within an organization's controlled environment rather than a shared multi-tenant cloud. Enterprise customers can also configure contextFilters to exclude specific files or repositories from what Cody can search or reference, though Sourcegraph's own troubleshooting docs note that excluded-file errors can sometimes surface for files that admins did not intend to exclude, requiring a check with the org's Cody admin. Because the product is enterprise-only and sold through direct contracts, specific data-handling and model-training terms (including whether any data is used to improve underlying models) are negotiated as part of each enterprise agreement rather than published in a generic terms-of-service page.
Top Alternatives
- Cursor: Pick Cursor if you want an IDE-first AI coding experience; pick Sourcegraph if you need semantic search across a massive multi-repo codebase.
- Windsurf: Pick Windsurf for agent-driven refactoring on a single repository; pick Sourcegraph for understanding dependencies and patterns across 100+ repositories.
- Tabnine: Pick Tabnine for fast autocomplete on any codebase; pick Sourcegraph when you need AI-assisted answers grounded in your whole code graph.