The story centers on New energy vehicles teams who generate OTA risk review and release plan.
Overview
Background
Core collaborators include Release manager, Engineering lead, Service lead, each adding context in a fast-moving thread.
Without a structured capture, decisions blur and follow-through slows.
Intervention
When the thread hits a decision point, the team triggers “@Holycrab_AI summarize OTA discussion and output a release plan”. Holycrab AI then Change list, rollback strategy, canary plan, Assess risk -> define rollout -> schedule release, Release plan + risk list + monitoring points.
The distilled output stays tied to the original context for quick review.
- Input Change list, rollback strategy, canary plan
- Process Assess risk -> define rollout -> schedule release
- Output Release plan + risk list + monitoring points
Deliverables & Impact
Deliverables include Release plan, Risk list, Monitoring points, giving the team a clear handoff.
Impact shows up as Prep time: 1 day -> 30 min; Risk coverage: Broader.
- Release plan Phased rollout timeline
- Risk list Key risks and mitigations
- Monitoring points Post-release metrics
Prep time1 day -> 30 min
Risk coverageBroader
Incident rateLower
Example
Prompt: @Holycrab_AI summarize OTA discussion and output a release plan
Change: new auto-park logic
Canary: 5% fleet
Monitor: braking alerts + feedback