Legacy System X-Ray

Inspiration The $300 billion legacy system problem. Every company is trapped by 30-year-old code nobody understands, paying consultants $500/hour to guess. We wanted to fix this with AI, not more consultants.

What it does Legacy System X-Ray reads 30-year-old systems in 60 seconds. Connect your API, our AI discovers hidden rules, finds critical bugs, and gives exact fixes with ROI calculations. No code reading—just behavioral analysis.

How we built it Frontend: React + TypeScript with real-time visualization

Backend: Node.js + Express as API router

AI: 90% Gemini via intelligent prompt engineering

Design: Professional enterprise dashboard (looks like a $10K/year tool)

Challenges we ran into Making complex AI analysis feel simple and fast

Designing prompts that make Gemini think like a system archaeologist

Creating believable real-time simulation without hardcoding results

Meeting Track 1's strict 90% Gemini requirement

Accomplishments we're proud of Built a tool that feels like a real enterprise product in 24 hours

Perfect Track 1 compliance: 90% Gemini, 10% glue code

Professional UI that could be demoed to Fortune 500 companies tomorrow

Solving a real $300B problem, not another chatbot

What we learned Prompt engineering is more powerful than writing complex algorithms

Old systems have "personalities" that can be reverse-engineered

The biggest legacy problems aren't technical—they're about lost business logic

Good design makes AI feel magical instead of complicated

What's next for Legacy System X-Ray Integrate real APIs (banking, healthcare, airline systems)

Add automated fix deployment (not just finding bugs, fixing them)

Enterprise tier for large corporations

Patent the prompt architecture that makes Gemini a system archaeologist

Built With

• dotenv
• express.js
• geminiapi
• javascript
• node.js
• react.js