We Built an AI That Keeps Your Internal Documentation Alive

The Slow Decay of Internal Knowledge

Every engineering team eventually confronts the same paradox: we version-control code, test behavior, and keep deploys reproducible — yet our internal documentation drifts out of sync.

It’s not that people don’t care. It’s that every change (a refactor, a new service, a migration) quietly shifts the shape of the system while the story remains frozen somewhere in a doc.

This gap hurts most where engineers and non-technical collaborators intersect: product, analysts, compliance, new hires. Those documents are the connective tissue between technical and non-technical worlds.

We wanted to fix that.

Why We Built a “Living Internal Wiki”

Our core idea is simple: knowledge should maintain itself. Your documentation should evolve with your codebase — not lag behind it.

GitHub already holds the signals docs should reflect and if an agent can continuously read and interpret these signals, it can automatically keep documentation aligned with reality.

That led us to create the Davia GitHub Integration: connect your repositories to your workspace so an AI agent maintains your documentation in the background.

The Architecture: Documentation as a Living Model

When you connect a repository, Davia takes a snapshot and builds an internal model that captures:

• Services, components, and data flows
• Ownership and dependencies
• Architecture summaries and external integrations

This model becomes the foundation of your internal wiki.

From there, every merged PR is an evolutionary event. Using that context, it proposes updates to relevant pages: revising an architecture overview, annotating a service, flagging a deprecation, or updating an integration note.

While the heavy lifting of “keeping track of change” happens automatically, you remain the author. Suggested edits land as inline suggestions you can review, approve, or tweak.

Bridging Technical and Non-Technical Teams with Interactive Documents

Most doc systems collapse multiple layers of context into one static page. We designed the integration to respect the layers teams actually need:

• Deep technical detail: implementation notes for maintainers
• Structural context: system interactions for architects and PMs
• Functional understanding: what it does, for non-technical teammates

In the given workspace architecture, updates propagate across layers: right layer, right audience.

Moreover, a Davia workspace is composed of interactive documents. When a PR lands, the agent doesn’t just rewrite text; it updates the underlying model. Docs regenerate themselves visually, contextually, and consistently.

The result: a living internal wiki that stays synchronized with your systems, structure, and decisions.

Lessons Learned and What This Enables

Building automated documentation requires solving three problems: understanding granularity (distinguishing trivial changes from architectural shifts), maintaining contextual continuity (tracking evolving dependencies across commits and repositories), and preserving human control (automation proposes, humans decide).
The most valuable insight: small updates matter most. A renamed endpoint, a deprecated flag, a new environment variable—these micro-edits maintain trust and prevent drift.

When documentation maintains itself, organizations transform. Product teams navigate an always-accurate system map. New engineers onboard with documentation that mirrors reality. Cross-functional teams share relevant layers without exposing internals. Compliance and security access a versioned trace of system evolution without chasing people.
GitHub becomes a knowledge propagation system, not just a code tool.

Toward a Living Knowledge System

The integration is one step toward Davia’s broader goal: a workspace where knowledge updates itself in the background.

By connecting to the tools you already use (GitHub, Slack, internal databases) Davia learns how your team evolves and reflects that evolution in shared documentation.

One Last Thought

Internal documentation shouldn’t be a chore or an afterthought. It should reflect your team’s collective understanding: always current, always accessible, always in motion.