AI & RAG
On config-change PRs, post the original rationale as a review comment
When a merge request touches a config file, this workflow finds the prior rationale for each changed key from Git history and ADRs and posts it as a review comment so reviewers…
How it runs
The automated pipeline, trigger to output.
- TriggerMerge request touches a watched config fileGitLab
- LogicExtract the specific config keys/lines changed
- ActionPull introducing commit + message for each lineGitLab
- ActionRetrieve matching ADRs from ConfluenceConfluence
- ActionCompose per-key rationale with citations
- OutputPost rationale as an MR review commentGitLab
What it does
Every time someone opens a merge request that edits a config file, it surfaces the historical rationale for each line being changed and posts it directly on the MR. Reviewers no longer approve a one-line value bump without knowing the original decision behind it.
When to use it
When config changes ship too easily and reviewers lack context. Ideal for repos where load-bearing values (timeouts, limits, feature flags) are casually edited and the reasoning lives in old commits or ADRs nobody reopens.
How it works
- 1A GitLab merge-request event fires when the diff touches a watched config path.
- 2A logic step extracts the specific keys/lines that changed.
- 3For each changed line, the agent pulls the introducing commit and message from Git history.
- 4It retrieves any ADR in Confluence referenced by that commit or matching the key.
- 5It composes a per-key "original rationale" summary with citations.
- 6It posts the summary as a single MR review comment for the reviewer.
Set it up
What you configure once, before turning it on.
- 1Connect GitLabRepos, MRs, pipelines, registry.
- 2Connect ConfluenceSpaces, pages, blueprints.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, 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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