Code Evolution
🛠️Technology Stack
📅Project Timeline
Production Release
Full local AI orchestration, dashboard features, and visualizations deployed.
AI Integration & Pattern System
Integrated Ollama models with LangChain to support multi-model comparison.
Initial Architecture
Structured FastAPI backend, React frontend, and core schema designs.
✨Key Features
Multi-Model AI
Analyzes code using CodeLlama, CodeGemma, GPT-4, and Claude.
Consensus Reports
Benchmarks results across models for accuracy and consistency.
Custom Prompting
Support for custom AI prompts and language domains.
✨Key Features
Live Backend Sync
WebSocket-driven status updates from the backend and AI workers keep dashboards responsive and transparent.
Multi-Tab Dashboard
Custom tabs organize analysis into Insights, Tech Radar, Code Quality, and Pattern timelines.
Optimistic Updates
Frontend uses TanStack Query with caching and progressive UX for smoother interactions.
📊Project Metrics
🧠AI Models Integrated
📊Dashboard Components
💻Lines of Frontend Code
📁Repositories Analyzed
Coordinating Multi-Model AI Analysis
HighAI / Dev ToolsChallenge:
Running multiple large models locally while maintaining performant UX and accurate comparisons.
Solution:
Used Ollama + LangChain to orchestrate local models with isolated prompts and performance benchmarking logic. Integrated loading states and backend job queues to prevent blocking UI.
Impact:
Enabled high-throughput, parallel analysis across models with minimal user friction.
Designing Effective Developer Visualizations
MediumFrontendChallenge:
Presenting complex analysis results in a way that's actionable and understandable to both individuals and teams.
Solution:
Developed a modular dashboard system with charts like heatmaps, tech radar, and progression timelines using Radix UI, TanStack, and Recharts.
Impact:
Improved insight clarity, helping developers and teams track evolution and refactor intelligently.
This platform is used to deeply inspect and visualize the evolution of software repositories. It reveals the quality, consistency, and maturity of codebases using modern AI techniques—all running locally or optionally enhanced with GPT/Claude APIs.
From team collaboration insights to anti-pattern detection and skill growth charts, Code Evolution Tracker is ideal for engineers, tech leads, and educators looking to surface hidden stories in source code.