Turn natural-language requirements into testable specifications for AI-assisted development.
Translate requirements into specifications
Before writing code, define roles, permissions, asset flows and invariants. Bind candidate code to a compiler, dependencies and target environment.
Use tests as feedback
Unit tests, property tests, fuzzing and static analysis address different issues. Present failure paths, suggested fixes and remaining questions together for engineers to review.
Retain engineering responsibility
AI assistance helps organize information and identify issues. Final deployment decisions should combine engineering review, test evidence and appropriate independent audits.
