AI-powered code intelligence platform
Sourcegraph Review 2026: The Enterprise AI Coding Platform That Refused to Die
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TL;DR
Sourcegraph has reinvented itself as an enterprise AI coding platform, anchored by Cody (the assistant) and Amp (the agent). It is the best option for very large monorepos and air-gapped deployments where Cursor and Copilot fall short — but the price and complexity make it overkill for small teams.
What it does
Sourcegraph is two products that work together:
- Code Search — the original product, a powerful indexed search over your entire org's code
- Cody — AI assistant that uses Sourcegraph's code graph as its retrieval layer
- Amp — the new agentic mode that plans and executes multi-file tasks
Cody runs in VS Code, JetBrains, the Sourcegraph web UI, and CLI. The killer feature is that it uses Sourcegraph's actual code graph (symbol references, definitions, callers) rather than naive embeddings — so its context is structurally accurate even on huge monorepos.
What is great
Monorepo handling is unmatched. Cody and Amp use the code graph for retrieval, which means "find every caller of this function" works correctly across millions of lines without choking. Cursor and Copilot both degrade on repos this size.
Self-hosted is real. Sourcegraph has been deploying on-prem to Fortune 500s and government for a decade. The enterprise installation story is mature in a way no AI-first competitor matches.
Cross-repo awareness. Most AI editors only see the current repo. Cody can pull context from every repo in your org — invaluable for shops with hundreds of services.
Cody Chat is genuinely useful. Asking "where do we handle payment retries?" returns specific files across the org, with code-graph-correct references.
What is not
Pricing is opaque and high. Sourcegraph has moved upmarket — you will not find clean per-seat pricing for Enterprise, and the floor is well above Cursor or Copilot.
The editor experience is not Cursor. Cody in VS Code is fine but it does not feel native or cutting-edge. The agent (Amp) is improving but it is not where Composer or Cascade are.
Setup overhead. Self-hosting Sourcegraph is a real project — Kubernetes, storage, indexer tuning. Worth it at scale but a real lift.
Smaller mindshare. New developers gravitate to Cursor and Copilot, so Sourcegraph adoption inside an org can stall on culture.
Pricing
| Plan | Price | What you get |
|---|---|---|
| Free | $0 | Cody for individuals, limited usage |
| Pro | $9/mo | Higher Cody limits, premium models |
| Enterprise Starter | $59/user/mo | Code Search + Cody, cloud-hosted |
| Enterprise | Custom | Self-hosted, advanced security, dedicated support |
Verdict
Sourcegraph is the right answer for one specific question: "We have a massive codebase and need AI that actually understands it, ideally on-prem." For that buyer it is unmatched. For everyone else, Cursor or Copilot are simpler and cheaper.
Who it is for
Best for: Large enterprises with monorepos in the millions of lines, regulated industries that require self-hosted AI, and platform teams that need org-wide code intelligence.
Not for: Solo developers, small teams, or anyone whose codebase comfortably fits in a single Cursor indexing pass.
Frequently asked questions
Is Sourcegraph better than Cursor for big codebases?
For very large monorepos — millions of lines — yes. The code graph gives Cody structurally accurate retrieval that embedding-based tools cannot match.
Can Sourcegraph run fully air-gapped?
Yes. Self-hosted Sourcegraph Enterprise can run with no outbound network at all, including bring-your-own-LLM via Azure OpenAI, AWS Bedrock, or local models.
What is Amp?
Amp is Sourcegraph's agentic coding mode — multi-file planning and execution. It is newer than Cody and still maturing relative to Cursor Composer.
Is Cody free?
There is a free Cody tier for individuals. Real usage at work requires Pro or Enterprise.
Does it work with my IDE?
VS Code and JetBrains are the strongest. Neovim and others exist with reduced functionality.
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