AI Documentation
Generate developer-facing documentation directly from source, kept in sync with every commit.
Features
What's included
Overview
A closer look at AI Documentation
Generate developer-facing documentation directly from source, kept in sync with every commit. Under the hood it combines multi-model reasoning with a dedicated context window for your repository, so results reflect the way your team actually writes code — not a generic public dataset.
Every run is executed in an isolated, ephemeral workspace. Source is encrypted in transit and at rest, discarded after the run, and never used to train shared models. Teams in fintech, health and government use AI Documentation in production with SSO, SCIM and full audit logs.
You pay only for the runs you actually execute — 6 credits per run, billed against your team balance. No seats, no minimum commitment, and you can pause any time.
By the numbers
Impact you can measure
Faster delivery on tasks using this tool
Of teams keep it in daily workflows after week one
Engineers actively running it every month
Availability across all supported regions
Benefits
Why teams use it
Always current docs
Zero manual writing
Better onboarding
Use cases
Who it's for
For growing teams
Onboard new engineers faster and keep everyone aligned on how ai documentation should work across services.
For scaling products
Handle 10x more workload without adding headcount — AI Documentation takes on the repetitive parts so people focus on architecture.
For regulated industries
Run in an isolated workspace with audit logs, SSO and role-based access — suitable for fintech, health and enterprise IT.
For solo builders
Pay only for what you run. No seats, no commitments — buy credits when you need them and ship weekend projects fast.
How it works
Three simple steps
Scan
Point the tool at your repo.
Generate
Produce docs for modules or the full repo.
Publish
Export as Markdown or push to your docs site.
Example output
See it in action
## getUser(id)
Fetches a user by their unique identifier.
**Params**
- `id` — string, the user id.
**Returns** Promise<User>Comparison
With vs. without AI Documentation
Integrations
Works with your stack
Plug into the tools you already use. No lock-in, no proprietary formats — the output stays in your repo, your registry and your cloud.
What to expect
Your first 90 days
Day 1
Install & connect
Add the app to your repo, IDE or CI. Zero manual config.
Week 1
First results
Your team runs AI Documentation on real work and starts shipping the output.
Month 1
Team-wide adoption
Custom style guides and org rules are live, results are consistent across projects.
Month 3
Measurable ROI
Track saved engineering hours in the dashboard and adjust credit budgets by team.
“AI Documentation paid for itself in the first sprint. We stopped writing the same boilerplate three times a week and the team was noticeably happier by Friday.”
Marta K.
Staff Engineer, fintech scale-up
FAQ
Frequently asked questions
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