ArchFlow

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AI-Powered Architecture Decision Platform

Automate documentation, detect tech debt, and visualize dependencies across your entire codebase.

AI-driven recommendations with rationale, trade-offs, and historical context. Built for engineering teams at scale.

Full-Stack Backend API

Backend offline

Your architecture analysis platform is running and ready to process repositories.

Live
42
Repos Analyzed
Live
78/100
Tech Debt Score
Live
12
Security Issues
Live
94%
Performance Score

Architecture Insights

AI + Rules Engine
⚠️

Auth-service is a central dependency (risk: cascading failures)

Recommendation: Implement circuit breaker pattern

Frontend is well-isolated from backend changes

Recommendation: Continue with current microservice boundaries

💡

Consider event-driven messaging for payment-service (latency hotspot)

Recommendation: Evaluate Kafka vs RabbitMQ for async processing

AI used only for synthesis; all findings traceable to source code.

Analysis Pipeline

Last workflow run: 5 min ago
1
Code Ingest
GitHub sync + parsing
Deterministic
2
Static Analysis
Dependency mapping
Deterministic
3
AI Reasoning
Pattern recognition
AI Synthesis
4
Rule Validation
Compliance checks
Deterministic
5
Output Generation
Reports + tickets
Deterministic

Traceable workflow: AI applied only where needed; all steps observable and auditable.

Repository Analysis Dashboard

Connected to GitHub • Audit logs enabled
Repository
Language
Issues Found
Last Scan
acme/backend
Python
12 issues
2 hours ago
startup/frontend
TypeScript
3 issues
5 minutes ago
corp/auth-service
Go
8 issues
1 day ago
mobile/app-v2
Kotlin
5 issues
3 hours ago

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Automated Documentation

Generate architecture docs from code analysis

Tech Debt Detection

Identify and prioritize technical debt automatically

Dependency Graphs

Visualize service dependencies and relationships