Release workflow
From change detection to migration delivery.
APIDiff AI turns raw version changes into structured output for engineering, QA, and product teams. Every step is trackable and repeatable.
Source intake
Impact scoring
Playbook output
Workflow canvas
Every release generates a new report
Automated
1. Collect specs, SDKs, and change logs
2. Normalize contracts and detect diffs
3. Map breaking changes and impact
4. Generate migration plan and QA brief
5. Send alerts to release channels
Workflow steps
Each release follows the same repeatable sequence so teams can scale change management.
1. Source collection
Pull OpenAPI specs, SDK packages, and changelog feeds.
2. Spec normalization
Align schemas, endpoints, and SDK method naming.
3. Semantic diffing
Detect changes by behavior, not just text.
4. Impact scoring
Rank severity and highlight high dependency areas.
5. Migration guidance
Publish ordered steps with owner and ETA metadata.
6. Regression summary
Generate QA focus list and coverage suggestions.
Inputs
- OpenAPI and GraphQL specs
- SDK release tags and package registries
- Changelogs and release notes
- Service dependency graphs
Outputs
- Breaking change list with owners
- Migration playbook and timeline
- Regression test focus list
- Release readiness scorecards
Automation triggers
Integrate release workflows with the tools your teams already use.
CI and registry hooks
Kick off diffs when new specs or SDKs are published.
Alerting and escalation
Send risk summaries to Slack, email, and incident tooling.
Release readiness gates
Block rollout until migrations and QA tasks are complete.
Bring this workflow to your next release
See a full migration report and regression brief from your API diffs.