StackSketch — Your AI Systems Architect

"Build complete system architecture in seconds — from vague prompt to optimized deployment."

🧠 What StackSketch Does

StackSketch is an AI-powered platform that transforms messy codebases and documentation into clear, interactive, and secure system architecture diagrams. Whether you’re onboarding engineers, scanning for vulnerabilities, or deploying via CI/CD, StackSketch makes your architecture visible, explainable, and actionable.

🔍 Core Capabilities

Diagram from Prompt or Repo
Instantly generate system diagrams (UML, Sequence, Component, etc.) from natural language or GitHub codebases, rendered live with Mermaid.js.
Intelligent Codebase Understanding
VS Code-style file tree exploration, stack detection, and Gemini-powered chat for questions like “How does auth work?”
Security & Compliance Automation
Real-time scanning with severity rankings and compliance reports (SOC 2, HIPAA, GDPR, FERPA).
DevOps Pipeline Integration
Terraform, Kubernetes, and CI/CD-aware diagramming with one-click deploy recommendations.
Enterprise Collaboration
Role-based permissions, audit logging, live sharing of diagrams/codebases, and support for education and enterprise tenants.

🧱 How We Built It

Frontend: Angular 17, Tailwind CSS, GSAP, Mermaid.js
Backend: FastAPI, Gemini-1.5, GitHub API, RAG-powered static analysis
AI Layer: Hugging Face model fine-tuning (with fallback to Gemini for production-readiness)
Architecture: Multi-tenant with enterprise access control and audit trails

🧪 Challenges

One of our biggest hurdles was efficiently training our AI model on a domain-specific dataset using Hugging Face within the limited hackathon window. To ensure we still delivered a demoable product, we:

Offloaded training asynchronously post-hackathon window
Integrated the Gemini API + Mermaid.js to generate temporary visual diagrams
Preserved architectural flexibility so we could plug in the custom-trained model later

This approach allowed us to stay lean, ship fast, and validate product features while building toward full AI integration.

🚀 Business Potential

Market: Dev teams (cloud-native & enterprise), onboarding, compliance-driven orgs, CS education
Monetization:
- SaaS: Enterprise plans with dashboard, diagram export, and compliance features
- Education Tier: Academic access with codebase visualization curriculum
- Cloud Partner Referrals: Earn when users deploy via AWS, Azure, or GCP
Feasibility: Already tested with engineering teams across SaaS, healthtech, and education sectors

🔮 Future Plans

Custom AI Model Integration: Deploy our trained Hugging Face model for richer, context-specific diagram suggestions
Advanced DevOps Optimization: Intelligent cost reduction and performance tuning across cloud providers
Live Code-Diagram Syncing: Auto-update diagrams as engineers code in real-time
AI-Powered Compliance Copilot: Real-time policy enforcement tied to industry frameworks
AI Architecture Simulation: Explore “what-if” infrastructure changes visually before deploying