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๐Ÿ‘ป GhostTrace

AI-Powered Software Investigation Room

GhostTrace is an AI-powered software investigation platform that helps developers understand why a codebase became difficult to maintain, not just what is wrong with it.

Unlike traditional static analyzers that generate warnings and metrics, GhostTrace reconstructs the story of a software system by analyzing its architecture, dependencies, code structure, and engineering patterns through a team of specialized AI investigators.

The result is a forensic-style investigation report that identifies architectural decay, technical debt, risky engineering decisions, future failure points, and actionable recovery strategies.

๐ŸŒ Live Demo
๐Ÿ”— https://ghosttrace-agents-gray.vercel.app/


๐Ÿšจ Problem

Modern software systems slowly become harder to maintain because of:

  • Technical debt accumulation
  • Architectural drift
  • Dependency sprawl
  • Inconsistent engineering decisions
  • Lack of historical context

Existing tools answer:

What is wrong?

GhostTrace answers:

How did we get here, and what happens next?


โœจ Core Idea

Think of GhostTrace as a software crime investigation room.

Instead of generating another lint report, GhostTrace:

  1. Collects evidence
  2. Reconstructs history
  3. Predicts future risks
  4. Challenges assumptions
  5. Generates recovery plans

๐Ÿ•ต๏ธ AI Investigation Team

๐Ÿ”ฌ Forensic Investigator

Examines:

  • Code quality
  • Technical debt
  • Architectural violations
  • Dependency complexity
  • Suspicious engineering patterns

Produces:

  • Evidence report
  • Architecture findings
  • Debt indicators

๐Ÿ“œ Software Historian

Reconstructs:

  • Repository evolution
  • Architectural drift
  • Dependency growth
  • System degradation timeline

Produces:

  • Timeline of events
  • Escalation points
  • Degradation narrative

โš ๏ธ Risk Oracle

Predicts:

  • Future failures
  • High-risk modules
  • Dependency collapse risks
  • Stability concerns

Produces:

  • Risk forecasts
  • Risk scores
  • Failure predictions

๐Ÿ— System Architecture

flowchart TD

A[GitHub Repository]

A --> B[Repository Analyzer]

B --> C[Forensic Investigator]
B --> D[Software Historian]
B --> E[Risk Oracle]

C --> F[Evidence Board]
D --> F
E --> F

F --> G[Devils Advocate]

G --> H[Recovery Commander]

H --> I[Final Investigation Report]
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๐Ÿ”„ Agent Workflow

sequenceDiagram

participant User
participant Forensic
participant Historian
participant Risk
participant Contradiction
participant Remediation

User->>Forensic: Analyze Repository

Forensic->>Historian: Share Findings

Historian->>Risk: Timeline Context

Risk->>Contradiction: Risk Assessment

Contradiction->>Remediation: Debate Results

Remediation->>User: Recovery Plan
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๐Ÿง  Investigation Pipeline

flowchart LR

A[Repository]
--> B[Architecture Analysis]

B --> C[Evidence Collection]

C --> D[Timeline Reconstruction]

D --> E[Risk Prediction]

E --> F[Contradiction Analysis]

F --> G[Recovery Strategy]

G --> H[Investigation Report]
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๐ŸŽฏ Features

Repository Intelligence

  • Architecture analysis
  • Dependency mapping
  • Technical debt detection
  • Complexity assessment

Historical Intelligence

  • Timeline reconstruction
  • Architectural drift detection
  • Evolution tracking

Predictive Intelligence

  • Risk forecasting
  • Failure prediction
  • Stability analysis

Recovery Intelligence

  • Refactoring recommendations
  • Prioritized fixes
  • Recovery roadmap

๐Ÿ’ก Why GhostTrace Is Different

Traditional Tools GhostTrace
Detect issues Investigates causes
Static reports Narrative investigation
Present-state analysis Historical reconstruction
Lists warnings Explains engineering decisions
Finds problems Predicts future failures

๐Ÿ”ฅ Example Questions GhostTrace Answers

  • Why did this architecture become unstable?
  • Which decisions caused technical debt?
  • What subsystem is most likely to fail next?
  • Which dependencies are creating risk?
  • What should be fixed first?
  • How serious is the long-term maintenance risk?

๐Ÿ— Technical Stack

Frontend

  • Next.js
  • React
  • TypeScript
  • TailwindCSS
  • Framer Motion

AI Layer

  • Multi-Agent Architecture
  • LLM Reasoning
  • Repository Intelligence Engine

Analysis Layer

  • Architecture Analysis
  • Risk Analysis
  • Timeline Reconstruction
  • Contradiction Framework

๐Ÿ“‚ Project Structure

ghosttrace/

โ”œโ”€โ”€ app/
โ”‚   โ”œโ”€โ”€ api/
โ”‚   โ””โ”€โ”€ page.tsx
โ”‚
โ”œโ”€โ”€ agents/
โ”‚   โ”œโ”€โ”€ forensic.ts
โ”‚   โ”œโ”€โ”€ historian.ts
โ”‚   โ”œโ”€โ”€ risk.ts
โ”‚   โ”œโ”€โ”€ contradiction.ts
โ”‚   โ”œโ”€โ”€ remediation.ts
โ”‚   โ””โ”€โ”€ orchestrator.ts
โ”‚
โ”œโ”€โ”€ components/
โ”‚   โ”œโ”€โ”€ WarRoom.tsx
โ”‚   โ”œโ”€โ”€ Timeline.tsx
โ”‚   โ”œโ”€โ”€ RiskPanel.tsx
โ”‚   โ”œโ”€โ”€ AgentCard.tsx
โ”‚   โ””โ”€โ”€ EvidenceBoard.tsx
โ”‚
โ”œโ”€โ”€ lib/
โ”œโ”€โ”€ hooks/
โ”œโ”€โ”€ types/
โ””โ”€โ”€ public/

๐Ÿš€ Getting Started

Clone Repository

git clone https://github.com/VishakhaVB/ghosttrace-agents.git

Install Dependencies

npm install

Run Development Server

npm run dev

Open

http://localhost:3000

๐Ÿ”ฎ Future Roadmap

  • GitHub Commit Intelligence
  • Pull Request Investigation
  • Team Ownership Analysis
  • Architectural Drift Visualization
  • CI/CD Integration
  • Multi-Repository Comparison
  • Enterprise Engineering Health Dashboard

teams understand why a codebase became difficult to maintain and what should be done next.

About

๐Ÿšจ **Ghost Trace** โ€” Built for the Codex Hackathon. AI forensic war room that explains *why* software breaks by analyzing repos, commits, architecture, and hidden tech debt. โšก

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