Sourcegraph review, pricing and verdict

Enterprise-only code intelligence platform for cross-repository semantic search and AI-assisted code understanding across large, multi-repo codebases, after free and Pro self-serve plans were discontinued.

  • ai coding assistants
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Last updated: 2026-09-03

Founded in 2013, Sourcegraph is an enterprise code intelligence platform that indexes codebases spanning hundreds of repositories, giving AI coding agents whole-codebase context through its Deep Search and MCP server rather than single-file context. It now operates as a company separate from Amp, the AI coding agent it originally built in-house.

HokAI Editorial Rating: 3.9 / 5

  • ease of use: 6.5 / 10
  • value for money: 5 / 10
  • support quality: 8.5 / 10
  • feature completeness: 8 / 10

About Sourcegraph

Founded in 2013 by Quinn Slack and Beyang Liu, Sourcegraph built code search and intelligence tooling for engineering teams working across large, multi-repository codebases, raising roughly $248 million across five funding rounds. In July 2025 the company discontinued its free and Pro self-serve plans to focus on Sourcegraph Enterprise, and in December 2025 Sourcegraph and its AI coding agent Amp split into two independent companies: Dan Adler became Sourcegraph's CEO while Slack and Liu moved to lead the new Amp Inc. As of September 2026, Sourcegraph markets one Enterprise plan built around Deep Search, Agentic Batch Changes, and an MCP server that gives third-party coding agents whole-codebase context, sold through direct sales with a minimum annual contract that scales with team size.

Screenshots

Cody AI assistant explaining code context across multiple repositories in Sourcegraph
Code explanation with cross-repo context
Cody intelligent code autocomplete leveraging full codebase knowledge
AI-powered autocomplete from codebase context
Sourcegraph semantic code search interface showing regex and Comby pattern matching across repositories
Semantic code search with advanced pattern matching

Pricing

Sourcegraph is enterprise-only and sold through direct sales. As of September 2026 its pricing page lists one Enterprise plan starting at $16,000 a year as a minimum annual contract, scaling with team size and including credits for AI features; the flat $59-per-user-per-month Cody Enterprise rate it quoted through mid-2026 is no longer published. Reported real-world contract values range from about $15,000/year for small teams to $250,000+/year for large multi-repo deployments. Free, Pro, and Enterprise Starter plans were fully discontinued July 23, 2025; individual developers are pointed to Amp, which became the independent company Amp Inc. in December 2025.

Feature Comparison by Tier

FeatureCody EnterpriseSelf-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

  • Deep Search: Agentic, natural-language search across the whole codebase that retrieves and reasons over real code rather than matching text, the current branding for what Sourcegraph called Cody in its self-serve era.
  • MCP Server for Coding Agents: A Model Context Protocol server, including the Code Finder tool that reached general availability August 20, 2026, giving third-party agents like Claude Code, Cursor, and Codex file- and line-level context from Sourcegraph's index.
  • Code Navigation: Jump-to-definition, find references, and IDE-like browsing across any branch or pull request.
  • Agentic Batch Changes: Large-scale, AI-assisted code changes applied across many repositories at once, one of the platform's four core pillars alongside Deep Search, Code Search, and the MCP server.
  • Enterprise Deployment Flexibility: Single-tenant cloud or fully self-hosted deployment with SSO/SAML admin controls, built for the multi-repository scale Sourcegraph's Enterprise plan targets.

Pros

  • Deep Search and the MCP server give AI coding agents whole-codebase context that single-repo tools can't match.
  • Self-hosted and single-tenant deployment options keep code and chat history inside a regulated organization's own infrastructure.
  • Works alongside third-party coding agents (Claude Code, Cursor, Codex) instead of locking teams into one assistant.

Cons

  • No self-serve or free plan, and no public per-seat price since the pricing page moved to a custom annual-contract model; every deal starts with a sales call.
  • Steep learning curve for teams used to grep or a single-repo IDE workflow.
  • Enterprise-only pricing puts it out of reach for individual developers and small teams, who are pointed to the now-independent Amp Inc. instead.

Product Information

Cloud
Yes
Self-Hosted
Yes
On-Premise
Yes
Languages
English
Training
Documentation, API Reference, Video Tutorials, Direct Enterprise Support

Data Handling

Compliance
SOC 2 · ISO 27001

Frequently Asked Questions

How much does Sourcegraph cost in 2026?

Sourcegraph's public pricing page lists a single Enterprise plan priced from $16,000 a year, a minimum that scales with team size and bundles credits for AI features like Deep Search and Agentic Batch Changes. That replaces the flat $59-per-user-per-month Cody Enterprise rate the company quoted through mid-2026; the site no longer publishes a per-seat figure, and real-world deployments are reported to run from roughly $15,000 to over $250,000 a year depending on repository count and team size. There is no self-serve checkout at any price, since the old Free, Pro, and Enterprise Starter tiers are gone for good.

Can you use Sourcegraph without paying?

No. Sourcegraph has had no free or self-serve plan since it retired Cody Free, Cody Pro, and Enterprise Starter (see the pricing FAQ above for the exact date). Individuals and small teams who relied on the free tier are pointed toward Amp, the AI coding agent Sourcegraph originally built in-house and later spun out as the independent company Amp Inc. Evaluating Sourcegraph today means starting a sales conversation, not signing up with a card.

Which tools compete with Sourcegraph in 2026?

GitHub Copilot and Cursor are the most-searched alternatives for teams that don't need Sourcegraph's cross-repository scale: Copilot for low-cost individual autocomplete built into the GitHub and VS Code ecosystem, Cursor for an IDE-first agentic workflow on a single codebase. Tabnine is a lighter option for teams that mainly want fast, private autocomplete without an enterprise contract. None of the three indexes and reasons across hundreds of repositories the way Sourcegraph's Enterprise plan does, which is the gap its pricing still charges a premium for.

What separates Sourcegraph from Cursor?

Cursor is an AI-native code editor priced for individuals and small teams, with its context centered on the open file or a single repository. Sourcegraph's $16,000-a-year minimum enterprise contract buys indexing and search across many repositories at once through Deep Search and its MCP server, a scope Cursor isn't designed to cover. Cursor fits fast, in-editor AI coding on a single codebase; Sourcegraph fits organizations that need visibility across every repository they own.

How do you get started with Sourcegraph?

Sourcegraph is sold through direct enterprise sales rather than self-serve signup, so getting started means requesting a demo through the pricing page and agreeing to its minimum annual contract. Once under contract, teams connect their code hosts (GitHub, GitLab, or Bitbucket are all supported), choose cloud or self-hosted deployment, and install the IDE extensions for VS Code or JetBrains, or connect coding agents like Claude Code, Cursor, or Codex through Sourcegraph's MCP server. Sourcegraph's own materials describe an onboarding call as part of implementation, consistent with its enterprise-sales model.

Top Alternatives

  • Cursor: Pick Cursor for IDE-first experience on single codebases; pick Sourcegraph when AI must reason across 100+ repositories simultaneously.
  • Windsurf: Pick Windsurf for agentic refactoring loops; pick Sourcegraph for enterprise-grade code search that understands service dependencies.
  • Tabnine: Pick Tabnine for lightweight autocomplete; pick Sourcegraph when you need semantic understanding of patterns across your entire codebase.
  • Claude Code: Pick Claude Code for terminal-driven development with fast iteration; pick Sourcegraph for enterprise deployments that must index and search at massive scale.

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