Chapter I
The Problem of Architectural Drift
Engineering teams make architectural decisions across Slack threads, meetings, and pull requests, but documentation often fails to reflect what was actually decided and shipped.
The gap between reality and documentation grows wider with each sprint, leaving teams navigating with outdated maps and making decisions based on incomplete information.
Chapter II
An AI-Native Solution
Weirwood is an AI-native system that reconciles real engineering signals into a single, authoritative representation of your system. It doesn't help teams write docs—it compiles decisions into durable architectural truth.
By continuously monitoring Slack conversations, meeting notes, and pull requests, Weirwood identifies architectural decisions as they happen and translates them into structured system knowledge.
Chapter III
How It Works
Weirwood updates architecture documentation through reviewable pull requests, ensuring that system knowledge stays accurate, auditable, and aligned with reality.
Every change is traceable. Every decision is documented. Every update is reviewed by your team before it becomes part of the canonical model.
Rather than just helping teams write docs, Weirwood compiles decisions into durable architectural truth.