AI Web Development Failure Simulator & Architecture Auditor

Engineering Architecture Controls SIMULATION RUNTIME

Preset Scenarios

AI Autonomy Level 100%

Prompt-only code generation without manual architectural boundaries. High autonomy generates synthetic mocks that fail on real API contracts.

Human Review & Architecture Gates 0 Gates

Layered reviews: (1) Interface validation, (2) RBAC token audits, (3) Schema drift circuit-breakers, (4) Strict front/back separation.

Upstream Schema Drift Events 3 Injected

Simulates vendor payload adjustments (e.g. ISO-8601 vs epoch strings, nested ID changes, float precision shifts).

Authentication & Security Layer

AI generators routinely omit token rotation, silent refresh handling, and token audience checks in complex OAuth flows.

Target Architecture Type

Single-page CRUD apps exhibit fewer systemic traps, whereas multi-tenant pipelines fail catastrophically under unvalidated AI scripts.

Grounding: Engineering analyses indicate AI code generators solve ~30% of standard tasks but introduce critical silent failures in multi-system data mapping and custom integration scripts.

Deployment Status Silent Production Failure Pipeline running without runtime circuit-breakers

System Stability Score 28 Out of 100 (Operational Threshold: 80)

Hidden Bug Traps 7 Latent CVEs & unhandled null pointer risks

Technical Debt Index Critical ~42 hours estimated manual rework

Live Stress Telemetry & Runtime Drifts 3 Active Breaches