Highlights
- Cadence visibility matters more than vanity totals
- Heatmaps fit release and maintenance cycles
- Wrapped pages work well for annual recap posts
Use case
vibestats for open-source maintainers
Use vibestats to review how AI coding supports long-running maintenance, release work, and contribution bursts.
Intent
Use case
Focus
vibestats for open-source maintainers focuses on a repeatable reporting workflow instead of raw token dumps.
Next step
Relevant commands
npx vibestats --activitynpx vibestats --sessionsnpx vibestats --wrappedTypical challenge
Maintainers often work in bursts across fixes, release prep, and triage, which makes activity shape more important than one isolated total.
Useful vibestats workflow
Use heatmaps and session views for cadence, model breakdowns for tooling review, and wrapped pages for longer-term retrospectives around open-source work.
Outcome
You get a more honest picture of when AI support mattered, how steady the work was, and which models were actually useful over time.
FAQ
Why does vibestats for open-source maintainers matter?
vibestats for open-source maintainers matters when people need a stable way to explain AI coding usage, patterns, or cost without reverse-engineering local files every time.
Is this only for one kind of developer?
No. The same reporting surface can support solo developers, client work, internal retrospectives, and manager reporting. The difference is usually which report you prioritize.
Related pages
Continue by intent
features ai-coding-activity-heatmapOpen the related vibestats page and continue the workflow from there.features ai-coding-wrappedOpen the related vibestats page and continue the workflow from there.use-cases personal-retrospectivesOpen the related vibestats page and continue the workflow from there.