The Challenge
As the platform evolved, changes increasingly spanned multiple surfaces: Application logic, user interfaces, documentation, and customer-facing content.
Small updates required careful coordination to avoid inconsistencies. Engineers had to remember where certain rules were enforced, how they were surfaced in the UI, and where they were documented publicly. Even with good intentions, things drifted.
At the same time, the team was leaning more heavily on AI tooling, making fragmented context a direct drag on velocity.
The challenge was to create a system where cross-cutting changes could be made once and reliably propagate everywhere, without manual synchronization or institutional knowledge.
Our Approach
We designed an Everything-as-Code monorepo that represents the company as a single, coherent system.
- Consolidated frontend, backend, documentation, marketing content, internal specs, and supporting tools into one repository
- Structured the repo so related concerns live close together and ship together
- Introduced shared configuration artifacts consumed by multiple surfaces, eliminating duplicated definitions
- Ensured all customer-facing material is derived from the same source of truth as the running system
- Added AI-readable context files to document architecture, tooling, and conventions for both humans and coding agents
- Used path-based CI/CD so only affected systems are tested and deployed on each change
- Kept each sub-project independently installable to avoid workspace-level complexity
Results
- Cross-boundary updates now ship as single, atomic commits
- Inconsistencies between implementation, UI, and documentation were effectively eliminated
- AI tools gained full contextual visibility, enabling safer multi-surface changes in one conversation
- Onboarding became faster due to a discoverable, self-documenting structure
- Shipping non-code artifacts (docs, content, workflows) uses the same review and deployment flow as application code