Free architecture utility

kbbq-idle-unity

Free idle-game economy tuning sheet for Unity prototype balancing.

Built for indie game developers and Unity learners. Use the readiness check below, inspect the implementation, and compare public aggregate demand without submitting project data.

kbbq-idle-unity system evidence preview
01 / Review

Architecture readiness check

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0 of 5 reviewed 5
02 / System map

What the architecture proves

These notes are derived from this repository's checked-in system architecture, not generic product copy.

01

Architecture Summary

Repository-local proof surface for edge, mobile, and local-first runtime systems, backed by Python service or lab runtime, Container build surface, Local compose environment.

02

Runtime And Data Flow

Primary domain: edge, mobile, and local-first runtime systems.

03

Cloud Or Local Deployment Boundary

Operating model: optional sync backends, signed release artifacts, edge observability, and constrained compute envelopes

04

Deployment patterns

Containerized runtime path suitable for repeatable local, staging, or managed service deployment Edge-first deployment model with server-side AI adapters and public-safe secrets handling Local-first runtime that can add sync, edge telemetry, and signed release promotion without...

05

Control boundaries

identity boundary and least-privilege service access environment separation for local, staging, and managed runtime paths secret storage outside source and deterministic fallback for missing credentials observability hooks for logs, metrics, traces, and audit events rollback path...

03 / Aggregate

Public interest pulse

anonymous aggregate game-economy resource interest and CTA counts

All-time consented events0
Today's consented events0
04 / Boundary

Useful data, narrow collection

ads allowed only on public game-design resource pages; gameplay telemetry, saves, and purchase-related flows are ad-free

Only four coarse fields are accepted after consent: repository, allowlisted event, public surface, and consent-policy version. Raw inputs, URLs, referrers, identities, files, prompts, and sensitive details are rejected.