Zoltan Kochan b187a38bc6 chore(release): track consumed changesets per branch to prevent re-application after cherry-pick (#11479)
* chore(release): wrap changeset version with cross-branch consumed-id ledger

When a fix is cherry-picked from main to a release branch (or vice
versa), the changeset file ends up on both branches. The release
branch's release consumes and deletes its copy, but the cherry-picked
copy on main survives the merge back and would be re-applied on the
next main release.

Introduce a small wrapper around `changeset version` that maintains a
per-branch ledger at .changeset/.released/<branch>.txt. Each entry is a
consumed changeset id; the file is written only by the branch it is
named after, so the records merge across branches without conflicts.

Before running `changeset version` the wrapper reads the union of every
ledger file, hides matching .changeset/<id>.md files (rename to
.md.released), then runs `changeset version` against the remaining set.
Newly consumed ids are appended to the current branch's ledger; hidden
files are removed afterward (their consumption is already on record
elsewhere). On failure the hidden files are restored to keep the
working tree clean.

* docs: move release-ledger explanation out of AGENTS.md

AGENTS.md is for instructions to AI agents working on the codebase, but
the cross-branch ledger is release machinery that the maintainer running
`pnpm bump` interacts with — agents authoring changesets do not need to
know about it. Move the explanation to where someone runs into it:

- .changeset/.released/README.md — discovered by anyone exploring the
  directory.
- A short doc-comment header at the top of __utils__/scripts/src/bump.ts
  pointing readers there.

* fix(scripts): harden bump wrapper edge cases from PR review

- Use url.pathToFileURL(realpathSync(...)) to compare against
  import.meta.url so the direct-invocation guard works on Windows
  paths and through symlinks (Copilot review).
- hideReleased() now iterates the changeset directory and filters by
  the released set instead of iterating the (potentially long) ledger
  and probing existsSync per entry (Copilot review).
- hideReleased() restores already-renamed files if a later rename
  throws, so a partial failure leaves the .changeset directory in its
  original state (CodeRabbit review).
- Move deleteHidden() into a finally so the .md.released files are
  cleaned up even if appendReleased() throws after a successful
  changeset version run (CodeRabbit review).
- Add a unit test that forces hideReleased() to fail mid-loop and
  asserts the rollback.
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pnpm

Fast, disk space efficient package manager:

  • Fast. Up to 2x faster than the alternatives (see benchmark).
  • Efficient. Files inside node_modules are linked from a single content-addressable storage.
  • Great for monorepos.
  • Strict. A package can access only dependencies that are specified in its package.json.
  • Deterministic. Has a lockfile called pnpm-lock.yaml.
  • Works as a Node.js version manager. See pnpm runtime.
  • Works everywhere. Supports Windows, Linux, and macOS.
  • Battle-tested. Used in production by teams of all sizes since 2016.
  • See the full feature comparison with npm and Yarn.

To quote the Rush team:

Microsoft uses pnpm in Rush repos with hundreds of projects and hundreds of PRs per day, and weve found it to be very fast and reliable.

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Background

pnpm uses a content-addressable filesystem to store all files from all module directories on a disk. When using npm, if you have 100 projects using lodash, you will have 100 copies of lodash on disk. With pnpm, lodash will be stored in a content-addressable storage, so:

  1. If you depend on different versions of lodash, only the files that differ are added to the store. If lodash has 100 files, and a new version has a change only in one of those files, pnpm update will only add 1 new file to the storage.
  2. All the files are saved in a single place on the disk. When packages are installed, their files are linked from that single place consuming no additional disk space. Linking is performed using either hard-links or reflinks (copy-on-write).

As a result, you save gigabytes of space on your disk and you have a lot faster installations! If you'd like more details about the unique node_modules structure that pnpm creates and why it works fine with the Node.js ecosystem, read this small article: Flat node_modules is not the only way.

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Getting Started

Benchmark

pnpm is up to 2x faster than npm and Yarn classic. See all benchmarks here.

Benchmarks on an app with lots of dependencies:

License

MIT

Description
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