Engineering principles
These principles turn broad values into practices a client can inspect in architecture, source control, tests, documentation, delivery, and handoff.
In practice
Clarify the decision, user, constraint, and failure cost before choosing tools or adding machinery.
Make it possible to follow important data and decisions through transformations, models, metrics, and outputs.
Reduce delivery risk by making changes easier to review, verify, release, and reverse.
Use automation to catch predictable failures before they become review burden or operational incidents.
A system is not successfully transferred if its next safe change still depends on undocumented context.
Collect less, limit access, design accessible interfaces, and describe security and privacy boundaries honestly.
Tradeoffs
Security, cost, speed, operability, and future flexibility can pull in different directions. Dagitali records consequential tradeoffs so later decisions begin with context rather than archaeology.
See the evidence