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Knops AI for Engineering · VP Engineering / CTO

Documentation written at commit time, not reconstructed later

Architecture overviews, API references, data flows and decision logs generated from the repository itself, and rewritten when the code they describe changes.

33Architecture doc types
4+ hrs/wk*Doc time per engineer recovered
3–4 wks*Engineer onboarding

* Modelled from published industry benchmarks, not measured customer results.

What it costs today

The gap between what shipped and what engineering knows

Engineers lose 4+ hours a week to writing and maintaining docs (roughly $124,800/year of hidden cost per 10-person team) for docs that are stale within weeks.

Support and sales use engineers as human query endpoints, and every interruption costs far more than the answer.

Architectural decisions made years ago have no trail. When that code breaks, one person knows why, if they still work here.

What changes

Architecture docs that never drift from the code.

  • Architecture, API and data-flow docs generated from commits and PRs
  • Docs update in place when the code they describe changes
  • New engineers ramp on a structured, code-current onboarding path
  • Documentation coverage gaps surfaced per module before they bite
What Knops generates
High-level architecture & component designAPI reference and lifecycle/versioning docsData flow, ETL and schema evolutionAuth model, security architecture, secrets managementDependency maps and scaling limitsSemantic code search across the whole repository
Publishes to
GitHubConfluenceNotionGoogle Drive

One source of truth. Four audiences.

The same repository, read four different ways, so no team is working from a version of the product that no longer exists.

Connect your repository. See what it already knows.

Read-only access, no engineering lift. We will show you what Knops generates for engineering from your own code.

Request Exploration Call