
Connect the plan to the code
Keep projects, milestones, and work items linked directly to the changes that deliver them. See how the plan is progressing without chasing updates across tools.
Code got cheap. Reviewing and shipping it well still takes care. Atelier is a change-centric code forge built for the AI era, helping your team spend less time reconstructing context and keep delivery moving as your team and codebase grow.
Atelier gives your team the context to review confidently, runs on a scalable versioning database,
preserves the intent behind each line, and keeps work moving from plan to release.
Understand unfamiliar code, judge the impact of a change, and know where to look closely. AI summaries, guided reviews, and code navigation give you the context to make the call.
An AI summary explains the change and flags areas that need care. Read it alongside the description, discussion, and landing requirements to see where to start and what still needs a decision.
Trace code back to the prompts, decisions, and sessions that produced it. Keep that reasoning available to the next reviewer, teammate, or agent, so future work builds on earlier decisions instead of starting from scratch.

Sessions stay linked to their revision through rebases and edits.
Trace each line to the prompts and decisions that explain why it exists.
Build on earlier attempts, decisions, and human feedback.
Redact secrets locally before storage, or any step later.
Keep work moving without coordinating every handoff. Connect the plan to its changes, see what needs attention, and let the queue handle landing when the requirements are met.

Keep projects, milestones, and work items linked directly to the changes that deliver them. See how the plan is progressing without chasing updates across tools.

See which approvals, checks, or discussions need attention before a change can land. Make the next step clear without asking the team for another status update.

Finish your review and move on. Atelier handles rebases, checks, and dependency order as main moves, landing each change when its requirements are met.

Manage tracks, channels, and artifacts alongside their source changes and reviews. Know exactly what went into a release and follow it back to the decisions behind it.
Tresse, the versioning database behind Atelier, keeps code, assets, and data on a fast, dependable foundation with room for your team to grow.
128 simulated clients continuously pushing 1 to 10 files of 2 KiB each to their own branches over two minutes.
32 simulated agents repeating one clone followed by five pushes. Clones and pushes counted together over three minutes.
Built for growing repositories, file counts, file sizes, and concurrent work, with the largest monorepos in mind. Keep related work together as more people and agents contribute.
From game development to data lakes, keep code, assets, and datasets in one history. Large files belong alongside the code that uses them, without a full new copy in storage for every small edit.
Start development and CI without a full clone. Mount the files you need with FUSE, or read datasets through the read-only S3-compatible gateway, alongside your existing Git workflow.
Get reviews to the right people, keep track of what needs you, and stay in control of access and automation.
Assign reviewers by rotation, code expertise, or available bandwidth. Share the review load without having to find the right person for every change.
See whether a change needs its author, a reviewer, or another teammate, and why. The next step stays clear as feedback and revisions arrive.
No disturbing notification on changes not passing checks. Keep reviews that need you in a personal inbox, with tailored digests for catching up. Read an update in the review or inbox, and it stays read in both.
Manage sign-in and provisioning with SSO and SCIM. Use audit exports and IP allowlists to meet your organisation’s security requirements.
Limit each bot to the repositories and actions it needs. Set access to expire and revoke it independently, without disrupting other automation.
Immediately block sensitive content from being served. A separate, safeguarded purge removes the stored content across forks.
Mirror a GitHub repository both ways so teams can move independently. Review in Atelier and land back automatically, with history and reviews exportable as structured data.
Which reviews are waiting? Where is work stuck? Turn recurring queries into saved views and notifications that stay current as your workspace changes.
Recover from a mistaken rebase, squash, or reorder using the recorded operation. Restore the previous state without reconstructing it by hand.