Run a JavaScript/TypeScript monorepo with workspaces, task orchestration, and internal package versioning that scales. Use when managing multiple packages in one repo or when a growing monorepo's builds and installs get slow.
Scanned 9/5/2026
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---
name: monorepo-workspaces
description: Run a JavaScript/TypeScript monorepo with workspaces, task orchestration, and internal package versioning that scales. Use when managing multiple packages in one repo or when a growing monorepo's builds and installs get slow.
---
# Monorepo workspaces
A monorepo shares code and coordinates changes across packages in one
repo. The tooling is mature, but the two things that decide whether it
scales or crawls are task orchestration (not rebuilding everything) and
clear internal boundaries.
## Method
1. **Pick the package manager's workspaces plus an orchestrator.**
pnpm workspaces (the efficient default: content-addressed store, strict
by design) or npm/yarn workspaces, plus a task runner (Turborepo or
Nx) that caches and parallelizes. Workspaces alone handle installs and
linking; the orchestrator is what keeps builds and tests fast at scale.
2. **Let the orchestrator build only what changed.** Task caching keyed on
inputs (source, deps, config) means an unchanged package's build/test
is a cache hit, and only affected packages and their dependents run.
Without this, every change re-runs the whole repo and the monorepo
becomes a tax (see incremental-processing's idea, applied to builds).
3. **Declare dependencies between packages explicitly.** Internal packages
reference each other by name (`"@org/utils": "workspace:*"`); the
orchestrator reads the graph to order tasks. Keep the dependency graph
acyclic and one-directional (shared/core packages depended on, not
depending; see coupling-analysis): cycles break incremental builds and
reasoning.
4. **Use TypeScript project references for incremental typechecking.**
`composite: true` and `references` so `tsc` checks packages in
dependency order and caches results (see tsconfig-mastery); path
aliases and workspace links kept in sync so imports resolve in editor,
build, and test alike.
5. **Decide the versioning model.** Fixed/locked (all packages share one
version, released together: simple, coarse) or independent (each
versions on its own: flexible, more bookkeeping). Changesets automates
either: contributors declare the bump per package, and release
tooling versions, changelogs, and publishes (see npm-publishing,
release-tagging).
6. **Keep boundaries and shared config real.** Shared tsconfig/lint/build
base configs extended per package (see js-tooling-selection);
lint rules that forbid reaching into another package's internals
(import only its public entry). A monorepo without enforced boundaries
becomes a big ball of mud faster than separate repos would.
## Boundaries
- Monorepo vs polyrepo is a real tradeoff (shared code and atomic changes
vs independent lifecycles and blast radius); choose it for the
coordination benefit, not by default (see monorepo-vs-polyrepo).
- The orchestration tooling (Turborepo/Nx) is itself a dependency and a
learning cost; small repos with 2-3 packages may need only plain
workspaces without it.
- Remote caching and distributed task execution pay off at team scale and
add infrastructure; adopt them when local caching is no longer enough,
not up front.
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