MR enrichment
Add issue references, metadata, context, and summaries.
Respond to issues, merge requests, pipelines, and schedules without distributing automation logic or credentials across every repository.
Turn GitLab events into focused CIBOT chores. Keep reusable logic in one place instead of rebuilding it in every repository.
Add issue references, metadata, context, and summaries.
Move issues between development, testing, and completion.
Explain why a merge request cannot move forward.
Turn review feedback into a focused agent task.
Coding agents work inside individual tasks. Persistent automation can support the complete GitLab development lifecycle.
CIBOT chores
The agent completes the task. CIBOT chores keep the surrounding GitLab workflow moving.
Run agents in isolated sandboxes. Give them scoped GitLab capabilities through a controlled access boundary.
Untrusted execution
GitLab BOT is a focused CIBOT use case. The reusable automation foundation will become open source when the CIBOT MVP is complete.
GitLab BOT is part of the DistroOps open-source and commercial ecosystem. Partners help fund long-term development while the projects remain freely available under their open-source licenses.