Lume (DebtRadar)

AI-Powered Security, Technical Debt & Compliance Intelligence Platform

Tags

Cybersecurity AI DevSecOps Dashboard Enterprise

Description

Lume (formerly DebtRadar) is an AI-powered engineering intelligence platform designed to help security teams, engineering managers, and executives understand the health of their software systems. The platform combines security vulnerability analysis, technical debt visualization, compliance monitoring, and AI-generated remediation into a single interactive dashboard.

By transforming complex technical findings into actionable business insights, Lume enables organizations to prioritize risks, improve software quality, and accelerate secure software delivery.

Overview

Modern software systems accumulate security vulnerabilities and technical debt at an alarming rate. Engineering teams often struggle to identify critical risks, while executives lack clear visibility into how these issues impact business operations.

Lume addresses this challenge by combining interactive security visualization, AI-powered explanations, automated remediation, and compliance intelligence into a single enterprise platform.

The result is a unified workspace where developers, security engineers, and business leaders can collaborate using the same real-time insights.

The Problem

Organizations face several challenges when managing large codebases:

• Security vulnerabilities are scattered across multiple tools.
• Technical debt grows without clear visibility.
• Engineering reports are difficult for non-technical stakeholders to understand.
• Manual vulnerability remediation is slow and error-prone.
• Compliance tracking lacks centralized intelligence.
• Existing dashboards fail to communicate risk effectively.

The Solution

Lume introduces an AI-driven platform composed of multiple intelligent systems.

1. Security Intelligence Dashboard

Provides a centralized overview of repository health by displaying:

• Security Score
• Trust Score
• Deployment Confidence
• Collapse Risk
• Exploitability Index
• Compliance Status

2. Interactive Codebase Galaxy

Visualizes the repository as an interactive D3.js network where:

• Nodes represent application modules.
• Node size reflects code complexity.
• Colors indicate vulnerability severity.
• Force-directed simulations reveal dependency relationships.
• Heat zones highlight high-risk areas.

3. AI Risk Translation

Transforms technical findings into business-friendly insights. Executives receive clear explanations covering:

• Customer Impact
• Business Risk
• Operational Consequences
• Recommended Actions without requiring cybersecurity expertise.

4. AI AutoFix Pipeline

Developers can automatically generate remediation patches using Large Language Models. Features include:

• AI-generated code fixes
• Git-style visual diff comparison
• One-click patch approval
• Automated vulnerability remediation

5. Compliance Intelligence

Tracks software against major security standards including:

• OWASP Top 10
• CWE
• Secure Development Practices Helping organizations maintain stronger security governance.

Technical Architecture

Frontend

• Next.js 14 (App Router)
• React
• TypeScript
• Tailwind CSS

Data Visualization

• D3.js Force Simulation
• Interactive Network Graphs
• Zoom & Pan Canvas
• Dynamic Heatmaps

Backend

• Supabase
• Serverless APIs
• GitHub Integration

AI Layer

• HuggingFace Inference API
• Mistral-7B-Instruct
• Zephyr-7B
• AI-powered Autofix Engine

Security Layer

• OWASP Top 10 Mapping
• CWE Classification
• Technical Debt Analysis
• Compliance Intelligence

Key Features

Repository Health Dashboard

Provides real-time engineering health metrics including security score, deployment confidence, technical debt indicators, and repository stability.

Codebase Galaxy Visualization

Interactive D3-powered graph that visualizes relationships between software modules and highlights vulnerable areas using dynamic force simulations.

AI Business Translation

Converts highly technical security reports into executive-ready summaries, enabling leadership teams to make informed decisions quickly.

Intelligent AutoFix

Automatically generates secure code patches using AI, allowing developers to review changes before deployment through Git-style visual diffs.

Compliance Monitoring

Maps detected vulnerabilities against industry-recognized security frameworks to simplify auditing and regulatory compliance.

Premium User Experience

Designed with a warm glassmorphism interface featuring smooth animations, micro-interactions, and responsive layouts for an enterprise-grade experience.

Technical Challenges & Solutions

Challenge 1: Visualizing Large Codebases

Problem: Large repositories become difficult to understand using traditional dashboards. Solution: Implemented a D3.js force-directed graph that dynamically represents modules, dependencies, and risk propagation paths.

Challenge 2: Making Security Reports Accessible

Problem: Technical vulnerability reports are often too complex for business stakeholders. Solution: Integrated AI-powered summarization to translate engineering findings into concise business language with actionable recommendations.

Challenge 3: Reducing Manual Remediation

Problem: Fixing vulnerabilities manually is time-consuming and resource-intensive. Solution: Developed an AI AutoFix pipeline capable of generating secure code patches with side-by-side Git diff previews for developer approval.

Challenge 4: Unifying Security Intelligence

Problem: Security, technical debt, and compliance data are typically spread across multiple disconnected tools. Solution: Built a centralized intelligence platform that consolidates repository analytics, compliance metrics, AI insights, and engineering health into one dashboard.

Impact & Learnings

What I Learned

• Building enterprise-scale dashboards using Next.js and TypeScript.
• Creating interactive data visualizations with D3.js.
• Integrating Large Language Models into developer workflows.
• Designing AI-assisted remediation pipelines for secure software development.
• Translating complex cybersecurity concepts into business-friendly insights.
• Building scalable frontend architectures for enterprise applications.

Repository Structure

app/
components/
contexts/
lib/
scripts/
supabase/
tests/
types/

next.config.js
tailwind.config.ts
package.json

Status

Actively Developed

Enterprise AI security platform with ongoing enhancements, including advanced compliance intelligence, AI-assisted remediation workflows, and interactive engineering analytics.