ENGINEERING
Read dependency changelogs and flag breaking changes on a GitLab MR
An agent reads the upstream changelog for each package in a GitLab dependency MR, cross-references the breaking changes against your actual usage.
How it runs
The automated pipeline, trigger to output.
- TriggerGitLab MR webhook on dependency-bump branchGitLab
- ActionIdentify bumped packages and version rangeGitLab
- ActionFetch upstream changelog and release notesGitHub
- LogicMatch breaking-change APIs against codebase usage
- OutputPost per-package breaking-change verdict on MRGitLab
What it does
Semver lies. A patch bump can ship a breaking change buried in release notes. This agent fetches the changelog between the old and new version of each bumped package, identifies breaking or behavioral changes, checks whether your codebase actually uses the affected APIs, and posts a human-readable risk verdict.
When to use it
Use it for the dependency MRs that automated test-mapping marks as risky and you want a reasoned second opinion: not just "this touches 12 modules" but "the new version removed the `parseAsync` option your auth module calls."
How it works
- 1A GitLab MR webhook fires for a dependency-bump branch.
- 2The agent reads the changed lockfile to identify each package and its version range.
- 3It fetches the upstream changelog and release notes for that range from GitHub.
- 4It searches the codebase for usages of any APIs named in the breaking-change entries.
- 5The agent reasons over matches to produce a per-package verdict with concrete impacted call sites.
- 6It posts the verdict as a structured review comment on the GitLab MR.
Set it up
What you configure once, before turning it on.
- 1Connect GitLabRepos, MRs, pipelines, registry.
- 2Connect GitHubRepos, issues, pull requests, actions.
- 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
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
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