Flyone – AI-Powered Travel Booking Ap

Flyone is a premium, AI-powered travel booking mobile application that aggregates flights, trains, buses, and boats into a single platform. Built with Flutter for cross-platform deployment, featuring a luxury editorial design system with dramatic gradient headers, choreographed animations,
and crystal-clear typography.

The Challenge

The travel industry lacks a unified booking platform that covers all
transport modes with a premium user experience. Existing apps feel fragmented — separate apps for flights, trains, and buses with
inconsistent design quality. Flyone solves this by bringing everything together in one beautifully crafted mobile experience.

What I Built

A complete Flutter mobile app with 13 screens, 102 Dart files, and a
production-grade design system — built entirely using AI-assisted development with Claude Code (Opus 4.6) and the Superpowers plugin.

Key Features

• Multi-modal search across flights, trains, buses & boats
• Smart booking flow with interactive seat maps and add-ons
• Digital e-tickets with QR codes and barcodes
• AI chat assistant with conversational travel help
• Real-time vehicle tracking with route visualization
• Payment integration with wallet, BNPL, and promo codes
• Booking management with upcoming/completed/cancelled tabs
• Loyalty program with tier progression
• Push notification system with categorized alerts

Design System — "Soft Depth"

• Deep Purple (#2D2654) + Teal (#5BCFCF) + Lilac (#D6CCFF) palette
• Poppins (headings) + Inter (body) typography pairing
• Gradient hero headers across all screens
• Floating glass-morphic bottom navigation
• 3-tier shadow system (subtle + elevated)
• Staggered entrance animations with spring press states

Development Journey — AI-Powered Workflow

This project showcases the power of AI-assisted development using Claude
Code with the Superpowers plugin:

Phase 1: Planning & Design

• Used the brainstorming skill to explore design directions and settle on "Soft Depth" aesthetic
• Created a detailed design specification with typography scales, color tokens, and component guidelines
• Used the writing-plans skill to produce an 11-task implementation plan with complete code for every step

Phase 2: Implementation

• Executed the plan using subagent-driven development — dispatching fresh AI agents per task with two-stage code review (spec compliance +
  quality)
• 11 implementation tasks completed sequentially, each verified with
  flutter analyze
• Foundation-first approach: design tokens → theme → core widgets → screens

Phase 3: Visual Overhaul

• Used the frontend-design skill to refine typography hierarchy with specialized styles (display, routeCode, price, overline)
• Applied dramatic gradient hero headers across all 13 screens
• Ran parallel review agents (reuse, quality, efficiency) via the
  /simplify command
• Extracted constants, deduplicated patterns, and merged redundant
  containers

Phase 4: Polish

• Added bookings list screen with seed data and tabbed status view
• Replaced generic icons with real profile photos
• Fine-tuned animations, press states, and visual hierarchy

Tech Stack

• Framework: Flutter 3.7+ / Dart 3.7+
• State Management: Riverpod
• Navigation: GoRouter with ShellRoute
• Animations: flutter_animate
• Typography: Google Fonts (Poppins + Inter)
• HTTP: Dio
• QR Codes: qr_flutter
• Images: cached_network_image

AI Tools Used

• Claude Code (Opus 4.6 with 1M context)
• Superpowers Plugin — brainstorming, writing-plans,
  subagent-driven-development, executing-plans, code-review, frontend-design skills
• Parallel Subagents — for concurrent implementation and review

Architecture

Domain-driven feature structure with clean separation:

• Presentation layer (screens + widgets + animations)
• Domain layer (models + Riverpod providers)
• Data layer (mock repositories, ready for real API integration)

Results

• 13 fully designed screens with consistent premium aesthetic
• 102 Dart files with zero analyzer issues
• Centralized design token system (spacing, shadows, radii, animations)
• Production-ready UI waiting for backend integration