One documentation platform
Generate, manage and maintain code documentation in one platform
DocuWriter turns connected repositories into a complete, structured documentation system. Generate the knowledge your team needs across the codebase, centralize it in Spaces, and keep it aligned with the code through Autopilot.
The result is not a folder of disconnected outputs. It is one navigable source of engineering knowledge spanning architecture, modules, services, classes, functions, dependencies, APIs, diagrams, READMEs, setup, workflows, and the relationships between them.
The lifecycle
From repository connection to documentation that stays useful
- Web applicationInterfaces · routes
- ServicesLogic · dependencies
- APIsContracts · data flow
- WorkersJobs · operations
- 01 Generate Map architecture through implementation
- 02 Spaces Organize, search, edit, share
- 03 Autopilot Detect impact, review, maintain
- Find answersAcross the system
- Onboard peopleWith shared context
- Review architectureBefore changing it
- Keep it currentAs code evolves
Generate
Document the complete codebase, not one file at a time
Connect a repository and let DocuWriter build a documentation tree that reflects how the software is actually structured. The platform identifies the architectural layers, modules, services, dependencies, public interfaces, data flows, and important implementation details that engineers need to understand the system.
Each page is generated in the context of the larger codebase. An API is connected to the service that owns it; a class is explained inside its module; a workflow shows how components collaborate. That context is what turns generated text into usable technical documentation.
Teams can review the proposed hierarchy before the full documentation run. This keeps the scope visible, makes the result easier to shape, and gives the team a clear map of what DocuWriter will produce.
Manage in Spaces
Give documentation a home your whole team can navigate
A Space is where generated documentation becomes a maintained knowledge system. Organize pages into a clear hierarchy, connect multiple repositories, and keep the architecture view beside the detailed module, service, API, and operational documentation it explains.
Engineers can browse the tree, search across the Space, ask questions with AI-assisted retrieval, and move from a system-level explanation to the implementation detail behind it. Editors can refine generated content, add team knowledge, and shape the structure without leaving the platform.
Sharing and publishing controls let the same source serve internal engineering, onboarding, handover, customer evaluation, or diligence workflows. Teams no longer need to choose between generated docs and a usable knowledge base: the generated system lives in the workspace where people collaborate on it.
See how Spaces organize engineering knowledge →Maintain with Autopilot
Turn code changes into reviewable documentation updates
Documentation usually becomes stale because maintenance depends on someone remembering which pages a code change affects. Autopilot connects that maintenance work to the repository. When relevant code evolves, it identifies documentation that may need attention and prepares suggested changes.
Each suggestion is visible in context: the changed code, the affected documentation, and the proposed update can be reviewed together. Engineers can accept, refine, or reject the change instead of searching an entire wiki for material that might now be wrong.
Teams choose the operating model. Keep human approval for sensitive systems, use notifications and review queues for normal changes, or configure controlled auto-apply behavior where the confidence and risk boundaries make that appropriate.
Explore Autopilot maintenance →
Documented 100+ repositories in 5 weeks, not 6 months.
FinLocker needed enterprise-ready documentation fast. DocuWriter.ai helped the team document 100+ repositories in five weeks and keep a strategic client deployment moving.
"We had over 100 repositories with incomplete documentation. Manually documenting everything would have taken about six months."
Princewill O.
Head of Engineering & Data/AI, FinLocker
- Repositories
- 100+
- Timeline
- 5 weeks
- Manual path
- ~6 months
Supporting capabilities
Use focused generators inside the larger platform
Full-codebase documentation is the primary workflow, but teams still need focused outputs during day-to-day engineering. DocuWriter includes generators for OpenAPI, UML, READMEs, release notes, comments, tests, optimization, and language conversion. These are supporting capabilities: use them when a focused task is the right job, then keep the result connected to the broader documentation system.
Connect your toolchain
Review repository providers, MCP access, workflow automation, and engineering integrations.
Browse every capability
Use the features catalog when you need a focused generator, format, or platform function.
Learn and evaluate
Find product documentation, implementation guides, comparisons, quality research, and customer proof.
FAQ
Frequently asked questions
Is DocuWriter a generator or a documentation platform?
It is a complete codebase documentation platform. Generation is the starting point: DocuWriter analyzes connected repositories and creates structured documentation. Spaces then centralize that documentation, and Autopilot helps keep it aligned with ongoing code changes. Focused generators such as README, OpenAPI, UML, release notes, tests, comments, optimization, and conversion support that larger workflow.
Can DocuWriter document an entire repository?
Yes. The full-codebase workflow is designed to cover architecture, modules, services, classes, functions, dependencies, APIs, diagrams, setup, workflows, and other technical components in one connected hierarchy. Teams can use it for an individual repository or combine documentation across a larger system.
Where does the generated documentation live?
Documentation lives in Spaces. A Space gives the team a navigable hierarchy, search, editing, sharing, publishing, and repository connections. It is the place where generated material becomes maintained engineering knowledge instead of another export that gets forgotten.
How does Autopilot keep documentation current?
Autopilot watches changes in connected repositories, identifies documentation that may need attention, and prepares suggested updates for review. Teams can keep a human approval step or configure controlled auto-apply behavior for the workflows where that is appropriate.
Can we use DocuWriter with private or regulated codebases?
DocuWriter supports enterprise and private-deployment paths for teams with stricter data, procurement, and infrastructure requirements. The right setup depends on the repositories, compliance boundary, and operating model, so those teams can review the enterprise and self-hosted options or book a technical conversation.
One connected workflow
Build documentation people can use—and keep using
Connect a repository, review the documentation structure, centralize the result in Spaces, and let Autopilot support the maintenance work as the code changes.