DEVOPS
Merge-Request CI Cache-Hit Coach
When a merge request's pipeline finishes, analyzes its job cache-hit rates and runtime.
How it runs
The automated pipeline, trigger to output.
- TriggerGitLab MR pipeline-completed webhookGitLab
- ActionFetch job logs and cache metadataGitLab
- LogicCompute cache-hit rate; flag inefficient MRs only
- ActionDraft caching coaching with .gitlab-ci.yml fixesOpenAI
- OutputPost coaching comment on the merge requestGitLab
What it does
Gives developers immediate, in-context feedback on the CI efficiency of their own merge request — surfacing low cache-hit rates and slow stages right where they work, so caching improvements ship with the code rather than as a later cleanup.
When to use it
When you want to push cost-awareness left to the moment of authoring, instead of relying on a central platform team to retrofit caching. Great for teams adopting a 'you build it, you tune it' culture.
How it works
- 1A GitLab webhook triggers when a merge-request pipeline completes.
- 2The flow fetches the pipeline's job logs and cache metadata from the GitLab API.
- 3A logic step computes per-job cache-hit rate and total wall-clock time, flagging the MR only if hit rate is low or runtime exceeds the project median.
- 4An OpenAI step drafts concise, friendly coaching with exact .gitlab-ci.yml cache key suggestions.
- 5The advice is posted as a comment on the originating merge request.
Set it up
What you configure once, before turning it on.
- 1Connect GitLabRepos, MRs, pipelines, registry.
- 2Connect OpenAIModels, embeddings, files.
- 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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