Sourcegraph

Paid

Sourcegraph indexes your entire codebase so you can search across repositories, find definitions, and navigate code at scale.

You ask questions that span multiple repos. It pulls context from up to ten of them at once. This matters when your system is spread across services and languages.

It sits in the developer tools category. It is built for large engineering organizations, not solo developers.

Open it if you need to understand codebases you did not write. Skip it if you want a quick AI tool for a single project.

These are the teams that get the most from it.

• Teams needing self-hosted code search at scale: You run it on your own infrastructure. Your code stays inside your perimeter.
• Organizations with polyglot codebases requiring SCIP indexing: You search across Python, C#, C++, and more without losing precision.
• Developers wanting AI assistance with codebase-aware context: Cody pulls from your indexed backend instead of generic training data.
• Teams whose primary pain point is navigating large codebases: You find references and definitions across services that live in different repos.
• Regulated industries with HIPAA, SOC 2, or FedRAMP-equivalent requirements: You pass audits because self-hosting keeps embeddings and prompts in-house.
• Organizations requiring data residency and strict code confidentiality: Your code never leaves your environment when you use BYO model endpoints.
• Teams already using Sourcegraph for code search: You add Cody without changing your setup. Permissions carry over automatically.
• Security-conscious enterprises that can invest in proper deployment hardening: You accept the operational trade-off for control over the stack.
• Large engineering organizations with multiple interconnected services: You onboard engineers faster by letting them ask questions across the whole architecture.
• Companies where multi-repository understanding is core to daily work: You stop guessing which repo holds the shared library. You search and find it.

This is what you notice after you start using it daily.

• Cross-repo search that actually works: You run structural queries across language boundaries. You find where a function is defined even if the call lives in a different service.
• Multi-repository context for Cody: You ask one question and get answers pulled from up to ten repos. You stop opening six different projects to understand one flow.
• Self-hosted control: You keep code embeddings, prompt traffic, and model inference inside your network. You pass compliance reviews without workarounds.
• Batch Changes: You edit code across many repositories at once. You automate refactors that would take weeks by hand.
• Permissions layer that follows your repos: You set exclusion rules at file, path, and repo level. You do not worry about sensitive code leaking to users who should not see it.

Skip it if any of these match your situation.

• Enterprise-only pricing: You need a $16,000 minimum annual contract. There is no free tier or individual plan to try first.
• Operational overhead: You maintain the cluster, manage permissions, and configure BYO endpoints. You trade convenience for control.
• Slow indexing for new code: Your fresh commits are not searchable immediately. You wait for the index to catch up.
• Security still requires discipline: You can misconfigure it easily. Self-hosted Sourcegraph with a default cloud model endpoint sends your code out anyway.