The visible feature was only the surface
Project identity and version details are duplicated across files and drift, leaving users with broken links, wrong install commands, or conflicting compatibility claims.
The system also had to respect concrete constraints. Each field has a different authoritative source. A human-facing description must match implemented behavior, not merely manifest prose. Local synchronization does not authorize publishing or changing remote metadata.
My role covered agent workflow design and automation engineering, with responsibility for agent workflow, validation automation, and packaging.
I turned the constraints into boundaries
Evidence/source precedence model; deterministic metadata auditor and reconciliation workflow; repository-native validation plus npm distribution.
Define field-by-field source authority rather than one universal source of truth.
Report ambiguity instead of overwriting uncertain values.
Validate every downstream consumer after edits.
The key decision: Define field-by-field source authority.
The implementation had to prove the model
I delivered the work across the full path: Encoded canonical-source rules. Built metadata drift detection. Designed scoped local synchronization and validation reporting. Added safe installation and package tests.
The result is concrete: Agents can identify conflicting names/versions/URLs. Repair authorized local copies. Preserve unknowns for manual resolution. Report remaining remote actions separately.
The senior engineering lesson was that solving the visible workflow is only half the job. The architecture must also make constraints, failure modes, evidence, and ownership explicit enough for the next change to remain safe.