Highlights
- Standardizes reporting across projects
- Can feed internal dashboards via JSON
- Share pages are better than screenshots for reviews
Use case
vibestats for AI agencies
Use vibestats to standardize AI coding reporting across delivery work, internal tooling, and client recaps.
Intent
Use case
Focus
vibestats for AI agencies focuses on a repeatable reporting workflow instead of raw token dumps.
Next step
Relevant commands
npx vibestats allnpx vibestats --jsonnpx vibestats --activity --combinedTypical challenge
Agencies need repeatable reporting around AI-assisted delivery, but raw session logs are a poor format for weekly review or client communication.
Useful vibestats workflow
Use combined usage reports to summarize delivery volume, wrapped or activity views for internal retrospectives, and JSON output when an internal dashboard needs a machine-readable source.
Outcome
Agency leads get a more consistent view of how AI coding activity supports delivery without building a bespoke reporting system first.
FAQ
Why does vibestats for ai agencies matter?
vibestats for AI agencies 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 json-and-automation-exportsOpen the related vibestats page and continue the workflow from there.use-cases engineering-managersOpen the related vibestats page and continue the workflow from there.compare local-vs-cloud-ai-analyticsOpen the related vibestats page and continue the workflow from there.