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Agentic Flow

Cross-platform AI agent management system with Flutter frontend achieving 90%+ test coverage, orchestrating workflows across Web, Windows, macOS, and Linux platforms.

FlutterRustAI AgentsCross-PlatformWebSocketMicroservices

Overview

Architected a comprehensive AI agent management and workflow orchestration platform that demonstrates the future of cross-platform development using Flutter. This project showcases Brandon's ability to design systems that prioritize user experience while maintaining technical excellence through a frontend-first approach. The platform features a beautiful, responsive Flutter interface that provides consistent experiences across web and desktop platforms, complete with real-time updates, offline support, and progressive web app capabilities. The architecture supports complex AI agent workflows while maintaining an intuitive drag-and-drop interface that makes advanced automation accessible to non-technical users. Beyond its technical achievements, Agentic Flow serves as an educational example of modern application architecture, featuring comprehensive documentation, 90%+ test coverage, and a phased development approach that delivers immediate value while building toward a complete enterprise solution.

Technical Stack

Frontend

  • Flutter 3.19+
  • Riverpod State Management
  • Material Design 3
  • Progressive Web App
  • Multi-Platform Support

Backend Services

  • Rust/Actix-Web
  • Rust/Axum
  • PostgreSQL
  • SQLite
  • WebSocket

Infrastructure

  • Docker
  • Kubernetes
  • Prometheus
  • Grafana
  • Redis Cache

Development Tools

  • GitHub Actions
  • CI/CD Pipeline
  • Automated Testing
  • Security Scanning

Key Features

Beautiful Flutter UI with responsive design for all screen sizes

Cross-platform support: Web, Windows, macOS, and Linux

Real-time updates with WebSocket communication

Visual workflow builder with drag-and-drop interface

Comprehensive test coverage exceeding 90%

Progressive Web App with offline capabilities

Dark/light theme with system preference detection

Multi-agent orchestration with parallel execution

Code Examples

Technical Challenges

Designing a unified experience across diverse platforms

Implementing real-time synchronization with offline support

Creating an intuitive interface for complex agent workflows

Achieving 90%+ test coverage across frontend and backend

Building a phased architecture that delivers immediate value

Project Outcomes

90%+
Test Coverage
4 platforms
Platform Support
<100ms p95
Response Time
<2s initial
Load Time
A+ rating
Code Quality