Archynt runs your architecture graph — static or live — through an LLM that surfaces real coupling problems, god-services and circular dependencies, with the exact code that causes them and a concrete fix.
OrderService reaches into OrderRepository, UserRepository, InventoryRepository and PaymentRepository directly — a god-service pattern that couples order logic to the full data model.
Extract inventory reservation and payment orchestration into their own services, called from OrderService instead of inlined.
NotificationService calls back into OrderService to re-fetch order state instead of receiving it in the event payload it already consumes.
Pass the order snapshot in the order.events payload; drop the back-reference to OrderService.
The model reasons over the actual architecture graph Archynt built from your code or runtime topology — not the source text, so it doesn't hallucinate structure that isn't there.
Every finding points at the specific classes, methods or services that cause it, so you can go straight to the code instead of guessing what the AI meant.
Findings are ranked HIGH/MEDIUM/LOW and tagged with a rough effort (S/M/L), so you can triage what's worth fixing now.
Each issue comes with an actionable fix — extract this service, drop this dependency — not a generic best-practices lecture.
Run analysis on a project's static architecture, or on the live runtime topology, to catch issues that only show up under real traffic.
Backed by Claude or OpenAI, configured per deployment — the analysis logic doesn't care which model answers.
Run an analysis or jump straight into your organization workspace.
