Monorepo Explained

Store all your projects in one repository — enabling atomic changes, shared tooling, and unified dependency management across your entire codebase.

Monorepo

A monorepo is a software development strategy where multiple projects, packages, or services are stored in a single version-controlled repository, enabling shared tooling, atomic changes, and unified dependency management.

Explanation

Monorepos store all related code in one repository: frontend, backend, shared libraries, infrastructure, and tools. This enables atomic commits across multiple packages, shared build configurations, consistent dependency versions, and simplified code sharing. Google, Meta, and Microsoft use monorepos at massive scale. Tools like Nx, Turborepo, and Bazel provide incremental builds (only rebuild what changed), dependency graph analysis, and task caching. The tradeoff is increased repository size, more complex CI/CD configuration, and the need for specialized tooling.

Bookuvai Implementation

Bookuvai uses monorepos with Nx or Turborepo for full-stack projects. Frontend, backend, and shared libraries coexist in one repository with shared TypeScript configurations, consistent linting, and atomic deployments. Incremental builds keep CI fast despite the larger codebase.

Key Facts

  • Multiple projects stored in a single version-controlled repository
  • Enables atomic commits across multiple packages
  • Shared tooling, consistent dependencies, and unified builds
  • Tools: Nx, Turborepo, Bazel provide incremental builds and caching
  • Used by Google, Meta, and Microsoft at massive scale

Related Terms

Frequently Asked Questions

Does a monorepo mean one deployment?
No. A monorepo contains multiple deployable services that are built and deployed independently. The repository is unified, but the deployment pipeline builds and deploys only the services that changed, using dependency graph analysis.
How do monorepos handle CI/CD performance?
Tools like Nx and Turborepo analyze the dependency graph and only run tasks (build, test, lint) for packages affected by the change. Remote caching shares build artifacts across developers and CI. This keeps CI times proportional to the change size, not repository size.
When should I choose a monorepo over separate repositories?
Choose a monorepo when teams frequently share code, need atomic cross-project changes, or want unified tooling. Choose separate repositories when teams are highly independent, projects have different technology stacks, or organizational boundaries align with repository boundaries.