An experiment in AI-assisted development: This entire landing page was built using Claude 3.5 Sonnet with minimal manual intervention.

Is AI replacing developers? No. But it's changing how we develop. Fast.

I've been testing Claude 3.5 Sonnet for coding, and the results are mind-blowing. What used to take days of CSS tweaking and boilerplate setup now takes minutes.

LANDING_PAGE_DESIGN_SYSTEM.md  +  APP_DESCRIPTION.md  →  Complete Landing Page

1. Extract the visual style from a previous project into a LANDING_PAGE_DESIGN_SYSTEM.md file
2. Define your new app concept in APP_DESCRIPTION.md
3. Feed both files to Claude
4. Watch it apply your exact design language to a completely new concept

Sales Buddy is a concept for an interactive AI sales dashboard that:

• Visualizes revenue data in real-time
• Predicts deal outcomes with confidence scores
• Transforms raw CRM data into actionable insights

Note: This is a demo/concept — not a real product. The data is mock data for demonstration purposes.

• Complex system architecture
• Deep business logic nuances
• Maintaining context in massive codebases
• Production-grade error handling
• Security-critical implementations

Bottom line: AI is an accelerator, not a replacement. It gets you from 0 to 1 instantly, but you still need an engineer for 1 to 100.

# Clone the repository
git clone https://github.com/YOUR_USERNAME/salesBuddy.git
cd salesBuddy

# Install dependencies
npm install

# Start development server
npm run dev

# Build for production
npm run build

salesBuddy/
├── src/
│   ├── components/
│   │   ├── Navigation.jsx      # Sticky nav with scroll effect
│   │   ├── Hero.jsx            # Dashboard preview with animations
│   │   ├── Features.jsx        # Feature cards
│   │   ├── Calculator.jsx      # Interactive revenue calculator
│   │   ├── PipelineChart.jsx   # Chart.js visualizations
│   │   ├── DealConfidence.jsx  # AI confidence scores
│   │   ├── TeamLeaderboard.jsx # Team performance
│   │   ├── Testimonials.jsx    # Social proof
│   │   └── Footer.jsx          # CTA + footer
│   ├── hooks/
│   │   └── useIntersectionObserver.js
│   ├── data/
│   │   ├── sales_data.json     # Pipeline & revenue mock data
│   │   ├── active_deals.json   # Deal confidence mock data
│   │   └── team_stats.json     # Leaderboard mock data
│   ├── App.jsx
│   ├── main.jsx
│   └── index.css               # Tailwind + custom animations
├── LANDING_PAGE_DESIGN_SYSTEM.md   # The design system prompt
├── APP_DESCRIPTION.md              # The app concept prompt
└── package.json

Contains:

• Tech stack requirements (React, Vite, Tailwind)
• Color palettes (dark-first glassmorphism)
• Typography scale
• Component patterns (cards, buttons, navigation)
• Animation specifications
• Layout guidelines

Contains:

• Product name and concept
• Hero section copy
• Feature descriptions
• Calculator logic
• Mock data structure
• Testimonials

• Framework: React 18 + Vite 6
• Styling: Tailwind CSS 4
• Icons: Lucide React
• Charts: Chart.js + react-chartjs-2
• Deployment: GitHub Pages

• Interactive Dashboard Preview — Animated mock dashboard in hero section
• Revenue Calculator — Adjust sliders to simulate growth
• Pipeline Visualization — Chart.js powered funnel charts
• Deal Confidence Scores — AI-style predictions with color coding
• Team Leaderboard — Performance tracking visualization
• Scroll Animations — Intersection Observer triggered effects
• Glassmorphism Design — Modern dark theme with blur effects

To keep this experiment pure, I purposefully avoided extensive manual refactoring. This represents a "one-shot" effort using my prompt structure, with only minimal tweaks (2-3) for configuration and style preferences.

The goal was to demonstrate what's possible with AI-assisted development today — both its impressive capabilities and its current limitations.

MIT License — Feel free to use this as a starting point for your own AI-assisted projects.

• Live Demo: [Coming Soon]
• LinkedIn Post: [Coming Soon]

Built with Claude 3.5 Sonnet — An experiment in the future of development