Reference implementation for the Phoenix Architecture. Work in progress.
aicoding.leaflet.pub/
ai
coding
crazy
Phase D — Evidence, Policy & Cascading Failure#
Overview#
Phase D enforces risk-tiered evidence requirements for each IU and propagates failures through the dependency graph. When evidence fails for an IU, its dependents are re-validated.
Components#
1. Evidence Model (src/models/evidence.ts)#
enum EvidenceKind { TYPECHECK, LINT, BOUNDARY, UNIT_TEST, PROPERTY_TEST, STATIC_ANALYSIS, THREAT_NOTE, HUMAN_SIGNOFF }
enum EvidenceStatus { PASS, FAIL, PENDING, SKIPPED }
interface EvidenceRecord {
evidence_id: string;
kind: EvidenceKind;
status: EvidenceStatus;
iu_id: string;
canon_ids: string[];
artifact_hash?: string;
message?: string;
timestamp: string;
}
2. Policy Engine (src/policy-engine.ts)#
Evaluates whether an IU has sufficient evidence for its risk tier.
3. Cascade Engine (src/cascade.ts)#
When IU-X fails, propagates to dependents:
- Dependent IU-Y: re-run typecheck, boundary, relevant tests
- Failure propagation is explicit and graph-based
4. Evidence Store (src/store/evidence-store.ts)#
Persists evidence records bound to IU IDs and canonical nodes.