Faultlines + Sourcegraph
Sourcegraph indexes massive codebases for search and intelligence at scale. Faultlines abstracts those files into features and flows. Different abstraction layers; both can run together, or Faultlines alone if your codebase fits in one repo.
The best code-search tool ever built. Cross-reference across hundreds of repositories, batch changes, code ownership, mature at huge-monorepo scale. In 2025 they moved Enterprise-only with Amp AI — they now serve large orgs needing search at scale.
- Code search across hundreds of repositories
- Code intelligence + cross-reference
- Batch changes across repos
- Code ownership at scale
- Mature at 100+ repo / huge-monorepo scale
A higher-abstraction layer over code. Sourcegraph indexes every file; Faultlines groups files into features and surfaces business-level context. Sourcegraph’s audience moved enterprise; Faultlines covers the small-to-mid SaaS segment.
- Feature + flow map of the codebase
- Hotspots, churn, ownership per feature
- Sentry + PostHog attribution per feature
- MCP server for Cursor, Claude Code, Cline, Aider
- Open-source CLI, free for public repos forever
How they actually combine
chargeCustomer
across our 50 repos.”Just Faultlines, on its own
Faultlines isn’t a code-search engine. For “where is this symbol referenced across 50 repos?” you want Sourcegraph (or GitHub code search). For “what feature is this function part of, and what’s its health?” you want Faultlines. If your codebase fits in one repo and is under 1.5M LOC, Faultlines alone covers most search-style questions through its MCP server. If you’re a 100-repo enterprise, Sourcegraph plus Faultlines is the natural pairing.
Where each one focuses
| Focus area | Sourcegraph | Faultlines |
|---|---|---|
| Primary unit | File + symbol index | Feature + flow map |
| Cross-repo search | ✓ best-in-class | — |
| Symbol intelligence | ✓ | via MCP |
| Behavioural analysis (hotspots) | — | ✓ |
| Runtime signal | — | Sentry + PostHog |
| Pricing | $59/dev Enterprise-only | $19–299/org |
| Best fit | 100+ repo monorepo / multi-repo | 3–50 dev SaaS teams |