AI & RAG
GitLab MR reviewer that cites internal wiki standards
On every new GitLab merge request, retrieves the relevant engineering standards from Confluence and GitLab wikis and posts a review comment flagging where the diff diverges…
How it runs
The automated pipeline, trigger to output.
- TriggerGitLab merge request opened/updatedGitLab
- ActionRetrieve relevant standards from Confluence + wikiConfluence
- LogicGate: any applicable standard found?
- ActionCompare diff to standards with OpenAIOpenAI
- OutputPost cited review comment on the MRGitLab
What it does
When a merge request opens, it reads the diff, finds the engineering standards and runbooks that apply (style guides, security policies, deploy checklists) from Confluence and GitLab wikis, and posts an MR comment noting any divergence from documented practice. Each note links to the exact policy page so reviewers can verify.
When to use it
When documented conventions exist but reviewers don't always remember to check them. Gives every MR a consistent first pass grounded in your own written standards rather than a generic linter.
How it works
- 1A GitLab merge request opened/updated webhook fires the trigger.
- 2The flow fetches the diff and extracts changed files and topics.
- 3It retrieves matching standards passages from Confluence and GitLab wikis.
- 4A gate skips the run if no relevant standards are found, avoiding noise.
- 5OpenAI compares the diff against retrieved standards and drafts grounded findings with citations.
- 6The findings are posted as a single GitLab MR review comment linking each cited policy.
Set it up
What you configure once, before turning it on.
- 1Connect GitLabRepos, MRs, pipelines, registry.
- 2Connect ConfluenceSpaces, pages, blueprints.
- 3Connect OpenAIModels, embeddings, files.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
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Run this workflow in your colony.
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