Code wiki that evolves with your codebase
Penqwin bootstraps your repository into structured engineering documentation and keeps it updated automatically as your code evolves.
Acme Corp
Most engineering knowledge never reaches documentation.
Context gets fragmented over time.
PRs, commits, reviews, and developer context slowly scatter across tools, channels, and memory, never making it into docs.
Knowledge gets siloed as teams scale.
Onboarding slows down, client projects become harder to maintain, and the team becomes dependent on a handful of people who "just know how it works."
Penqwin maps your codebase continuously.
As your code evolves, Penqwin builds and maintains a structured knowledge layer — so your documentation always reflects the actual state of your system.
Understand your codebase from day one.
Connect your repository and Penqwin builds a structured knowledge layer across your architecture, APIs, modules, workflows, and technical systems.
Merged: Refactor auth middleware
Authentication updated
Fix: Request handling updates
Business Logic updated
Merged: New billing endpoints
API & Endpoints updated
Chore: Update DB schema
Database & Models updated
Documentation that evolves with your repository.
Penqwin continuously tracks pull requests and code changes to keep documentation aligned with the actual state of your system.
Built for engineering continuity.
Penqwin is built around the real operational challenges that agencies and scaling teams face every day.
Onboard developers faster
New engineers understand your codebase from day one — without relying on the one person who built it.
Preserve engineering context
Decisions, architecture rationale, and system knowledge live in your docs — not in someone's head.
Maintain long-term client projects
Hand off or revisit projects months later with documentation that reflects the actual state of the codebase.
Reduce tribal knowledge dependency
Teams move faster when critical context isn't locked behind a single team member's institutional memory.
Built with developer trust in mind.
Penqwin only accesses repositories explicitly authorized by users. Repository data is processed securely and never used to train public AI models.
GitHub permission transparency
We request only the minimum permissions required. You always control which repositories Penqwin can read.
Secure data processing
Your code is processed in an isolated environment. We do not store raw source files beyond what's needed to generate documentation.
Never trained on your code
Your repository data is never used to train public AI models. Your intellectual property stays yours.
Simple, transparent pricing.
Start building better documentation today. No credit card required.
Free Plan
Pro Plan
Get started with the free features right away. Upgrade anytime.