Why this decision matters
AI-assisted development must follow module boundaries, coding standards, tests, dependency controls and documentation to create maintainable delivery.
Maintainability comes from coherent architecture, clear responsibility, testable code and reproducible environments. AI implementation does not replace these constraints.
Conditions to confirm before development
- Constrain generated code by module responsibility and public interfaces
- Run formatting, static analysis, unit tests and code review
- Lock dependency versions and inspect licensing and security
- Synchronize architecture, API, configuration and deployment documentation
Implementation and delivery approach
Break complex work into small changes with purpose, impact and verification. Understand generated code before merging it.
Evaluate repeatable tests, coupling, diagnosis time, upgrade success and whether a new maintainer can follow the documentation.
Acceptance boundary
AI tools cannot guarantee long-term consistency. Without ownership and continuing maintenance, even a clean initial delivery will degrade.