* ✨ Partition file_change by file_id Partition `file_change` by `HASH (file_id)` in 16 partitions, with the same bounds as `file_data`, so a join between them is resolved partition by partition. The primary key becomes `(file_id, id)`, which a partitioned table needs, and every access filters by `file_id`. The new table carries a `kind` column (1 snapshot, 2 revision) as a reserve: the queries still tell them apart by the label, and `kind` takes over when they are rewritten. The payload of a snapshot stays in `file_data`; the `data` column is kept for reading old `legacy-db` payloads. The four snapshot commands require `file-id`, because it prunes the partition. The objects GC locks and deletes by the pair, in batches. The old table is kept as `file_change_legacy` as the way back. The automatic migration refuses to run above 10 GiB or 2M rows and points to the runbook; big instances partition online with that runbook, which copies by id, follows the `updated_at` watermark in delta passes and checks that no row of the source is missing from the target. Closes #12416 AI-assisted-by: deepseek-v4.1-flash * 🐛 Address the review of the file_change partition The production runbook promised a rollback it did not have: the section was a sketch, and its statements could write to the table about to be dropped. The rollback is removed, and so is every comment that described it. `file_change_legacy` stays as a frozen copy of the previous layout. The cutover check now aborts the transaction when a row of the old table is missing in the new one, instead of leaving the decision to the operator. The five secondary indexes of the new table are built after the last delta pass: the bulk and the delta passes only need the primary key, so the batches no longer maintain them. The copy of 0158 is now replayed in a test against the pre-0158 shape with a labelled and an unlabelled row, plus an empty instance that must leave no legacy table behind. The updated_at assertion of the snapshot mutations is bounded by the test clock, and the repair revision stops writing the `features` of the file, like the normal save. AI-assisted-by: deepseek-v4.1-flash * 📎 Fix linter issues * 🐛 Fix stale helper call in rpc_file_snapshot_test The suite does not load: `th/run-pending-tasks!` does not exist in backend-tests.helpers. The pending jobs runner is `run-pending-jobs` (no arguments), the name every other call site of the suite uses. AI-assisted-by: inkling-2-small-free * 📚 Align the partition change with the 2.20.0 milestone 2.19.0 is already shipped; this work targets 2.20.0. The operations file of the partition procedure carries the 2.20.0 prefix, the references that point at it (the migration, the runbook table and the memory) follow, and the RPC doc/changes tags of the snapshot commands record 2.20 as the release that makes `file-id` required. AI-assisted-by: inkling-2-small-free * 🐛 Fix review findings on the partition rebase The 0157 legacy test was missed by the rebase and inserted file_change rows without the new mandatory `kind` column, so the backend suite fails against the migrated schema. The inserts now carry `:kind` (snapshot-kind for the labelled rows, revision-kind for the rest). The post-cutover verification block of the runbook terminates the first query with a semicolon so the block pastes into psql without a syntax error. The guard message of the migration names the step (0158-partition-file-change) instead of "0158", ambiguous since two migrations share that number. Closes #12416 AI-assisted-by: inkling-2-small-free * 🐛 Fix the stale label in the snapshot restore test The rename block of snapshots-crud runs before the restore block, so the restored version is already named "label1-updated" when the restore publishes its message. The command names the version by the label the row has at that moment, not by the one it had when it was created, so the test was asserting a stale value. Assert the current label, and say why in the comment. AI-assisted-by: deepseek-v4.1-flash * ♻️ Split the version event tests into one test per command The workspace version events and the plugin proxy send the file-id of the open file on every snapshot command, because the command needs it to prune the partition of file_change. Both tests checked that with a doseq and t/testing blocks, so a failure named the whole group and not the command that broke. Give each command its own test. The workspace ones share a helper that runs the event and returns the command and params it sends; the plugin ones keep their own mock of rp/cmd!. AI-assisted-by: deepseek-v4.1-flash
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Penpot is the open-source design platform for teams that build digital products at scale.
Penpot’s key strength lies in giving you full ownership of your design infrastructure. Built on open source and designed for self-hosting, it puts teams in complete control of their design environment supporting strict compliance and governance requirements. Whether used in the browser or deployed on your own servers, Penpot works with open standards like SVG, CSS, HTML, and JSON.
Real-time collaboration strengthens this foundation, helping teams scale and bring design closer to the product through top-tier capabilities. Additionally, developers feel at home using Penpot, because design is expressed as code, enabling a direct translation and shipping products faster.
Best-in-class native Design Tokens provide a single source of truth between design and development. They ensure consistency, improve collaboration, and make it easier to manage complex design systems.
The MCP server takes it further by enabling multi-directional workflows between design and code. A powerful open API and plugin system makes the workspace programmable, enabling automation, AI-driven workflows, and integrations with the tools and systems you already use.
With CSS Grid and Flex Layout, teams can design responsive interfaces that behave like real code from the start.
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Table of contents
Why Penpot
Penpot connects design, code, and AI workflows through a code-based approach, making designs readable by developers and AI via the MCP server. This approach helps teams ship what’s actually designed and manage design systems at scale with powerful design tokens. As a self-hosted, open-source and real-time collaboration platform, Penpot offers full flexibility, security, and ownership without vendor lock-in. Learn more about why Penpot is the platform for your team.
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Penpot plugins let you expand the platform's capabilities, give you the flexibility to integrate it with other apps, and design custom solutions.
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Penpot was built to serve both designers and developers and create a fluid design-code process. You have the choice to enjoy real-time collaboration or play "solo".
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