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Git Monorepo Setup and Management Guide

Design a monorepo with workspace management, selective CI for changed packages, shared config, and Docker layer caching per package.

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What this prompt does

This prompt designs a monorepo structure for a project with [package_count] packages ([package_list]), using [monorepo_tool] for workspace management. It defines a shared dependency hoisting strategy, selective CI that only tests and builds changed packages and their dependents, a versioning strategy ([version_strategy]), root-level shared configuration for ESLint, TypeScript, and Prettier, internal package linking without publishing, and Docker build optimization with per-package layer caching. It also specifies developer commands like bootstrap, clean, test-affected, and build-all.

The structure works because it directly targets what makes monorepos either fast or miserable. Selective CI that rebuilds only affected packages, combined with good dependency hoisting, keeps a growing monorepo from turning every small change into a full rebuild. By asking for the full directory layout and root configuration files like turbo.json, the prompt produces a concrete starting point rather than abstract architecture advice. It also handles internal package linking without publishing, so shared packages like shared-ui and shared-utils can be consumed by apps without a release cycle, and it defines developer commands such as bootstrap, clean, test-affected, and build-all. Those scripts matter because a monorepo's ergonomics live or die on whether everyday tasks are a single command or a fragile sequence of manual steps.

When to use it

  • Your project has grown shared packages that several apps depend on ([package_list]).
  • You want [monorepo_tool] set up with a sensible workspace and hoisting strategy.
  • Full rebuilds on every change are slowing you down and you need selective, affected-only CI.
  • You need a clear [version_strategy] across [package_count] packages.
  • You want shared ESLint, TypeScript, and Prettier config managed at the root.
  • You want Docker builds optimized with per-package layer caching.

Example output

Expect a concrete monorepo blueprint: a full directory structure for your [package_list], root configuration files such as package.json and turbo.json, a dependency hoisting strategy, selective CI configuration that builds only affected packages, a [version_strategy] setup, internal linking guidance, Docker layer-caching configuration per package, and developer scripts for bootstrap, clean, test-affected, and build-all. The output is meant to be copied into a real repository, so expect concrete file contents rather than prose describing what the config should contain.

Pro tips

  • List your real packages in [package_list] so the directory structure and internal linking reflect your actual dependency graph.
  • Choose [monorepo_tool] to match your ecosystem; the generated config (turbo.json, workspace settings) is tool-specific.
  • Lean into the selective CI configuration, because affected-only builds are the single biggest factor keeping a monorepo fast.
  • Pick [version_strategy] based on your release reality; independent versioning with changesets suits packages that ship separately.
  • Get dependency hoisting right early, since fixing it later means untangling many package.json files at once.
  • Iterate by adding a new package to [package_list] and asking it to update the structure and affected-build configuration accordingly.

Frequently Asked Questions

Which monorepo tool does this use?
Whichever you set in `[monorepo_tool]`. It can target Turborepo, Nx, pnpm workspaces, and similar tools, generating the matching configuration like turbo.json or workspace settings. The overall structure stays consistent across tools, but the specific config files and commands change, so set the variable to the tool your team actually intends to adopt.
How does selective CI know what to rebuild?
It relies on your `[monorepo_tool]`'s dependency graph to detect which packages changed and which others depend on them, then builds and tests only that affected set. This avoids full rebuilds on every commit. The accuracy depends on a correctly declared dependency graph, so internal package links and imports must be set up properly.
Can it set up independent versioning across packages?
Yes, the `[version_strategy]` variable supports approaches like independent versioning with changesets, where each package bumps on its own. It generates the configuration to support that workflow. You should still confirm the strategy fits how your packages actually release, since fixed versioning and independent versioning suit very different team needs.
Does it handle Docker builds for the packages?
Yes, it includes Docker build optimization with layer caching configured per package, so unchanged packages reuse cached layers and builds stay fast. This is especially useful when several apps in `[package_list]` are containerized. You will still need to adapt the Dockerfiles to your runtime details and verify the caching behavior in your CI environment.
Engr Mejba Ahmed

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Engr Mejba Ahmed

AI Developer · Software Engineer

I'm Mejba — I design and ship production AI systems, automations, and full-stack apps. If you want this turned into a working solution for your team, let's talk.

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