From Weeks to Hours: Building My Website with Agentic AI Pair Programming

What if I told you that the website you're reading this on was built in just 4 hours? Not 4 hours of frantic coding fueled by energy drinks, but 4 hours of strategic collaboration with AI agents that transformed my entire approach to software development.

This isn't just another "I used ChatGPT to code" story. This is about agentic coding—a paradigm where you orchestrate multiple AI agents working in parallel, each handling specialized tasks while you focus on architecture and coordination.

The Traditional Development Timeline

Before diving into the agentic approach, let's be honest about what building a modern website typically involves:

Week 1: Project setup, choosing tech stack, configuring build tools

Week 2-3: Core development—components, routing, styling

Week 4: Database integration and data persistence

Week 5: Deployment configuration and troubleshooting

Week 6+: Polish, debugging, and iteration

For a solo developer working evenings and weekends, this easily stretches into months. I needed a better way.

Enter Agentic Coding

Agentic coding treats AI as collaborative team members rather than glorified autocomplete. The key insight is that different AI agents can specialize in different aspects of development, working simultaneously while an orchestrator agent coordinates their efforts.

Here's how I structured my approach:

The Orchestrator Agent

I started by establishing a conversation with Claude as my primary orchestrator. This wasn't just asking for code—it was about developing a shared understanding of the project:

typescript

// Initial project brief shared with orchestrator
const projectSpec = {
  goal: "Personal software engineer website",
  techStack: ["Next.js", "React", "TypeScript", "Tailwind CSS"],
  features: ["Blog", "Portfolio", "About", "Contact"],
  timeline: "Single day build",
  deployment: "Vercel",
  database: "Supabase"
};

The orchestrator helped me break down the project into distinct, parallelizable tasks:

1. UI/Component Development

2. Database Schema & Integration

3. Blog System Implementation

4. Deployment Configuration

5. Styling & Responsive Design

Parallel Agent Delegation

Once we had our task breakdown, I opened multiple Claude conversations—each acting as a specialized sub-agent:

Agent A: Frontend components and React architecture

Agent B: Supabase schema design and database queries

Agent C: Next.js configuration and routing

Agent D: Tailwind styling and responsive design

The beauty of this approach is that while Agent A was generating my navigation component, Agent B was simultaneously designing my database schema. No waiting, no context switching—just parallel progress.

The Technical Stack

The agents and I settled on a modern, deployment-friendly stack:

Frontend Architecture

bash

# Core technologies chosen for speed and reliability
Next.js 14     # App router for modern React patterns
TypeScript     # Type safety without overhead
Tailwind CSS   # Rapid styling without custom CSS

Backend & Data

sql

-- Supabase schema designed by Agent B
CREATE TABLE blog_posts (
  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
  title TEXT NOT NULL,
  content TEXT NOT NULL,
  created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW()
);

Deployment Pipeline

yaml

# Vercel configuration handled by Agent D
name: Deploy Website
build:
  command: "npm run build"
  output: ".next"
env:
  - NEXT_PUBLIC_SUPABASE_URL
  - NEXT_PUBLIC_SUPABASE_ANON_KEY

The 4-Hour Breakdown

Hour 1: Planning & Architecture

Established shared understanding with orchestrator

Defined project scope and technical requirements

Created task breakdown and agent assignments

Hour 2: Parallel Development

Multiple agents working simultaneously on different components

Real-time integration of generated code

Rapid iteration on design and functionality

Hour 3: Integration & Database Setup

Connected Supabase for data persistence

Integrated all components into cohesive application

Resolved conflicts and ensured type safety

Hour 4: Deployment & Polish

Configured Vercel deployment

Final styling adjustments

Testing and quality assurance

Key Benefits of Agentic Development

Massive Time Savings

The most obvious benefit is speed. What traditionally takes weeks now takes hours. But it's not just about working faster—it's about working smarter.

Reduced Context Switching

Instead of jumping between database design, component development, and styling, I could maintain focus on architecture while agents handled implementation details.

Higher Code Quality

Multiple specialized agents meant more focused expertise on each aspect of the codebase. The TypeScript integration was cleaner, the React patterns were more consistent, and the database design was more thoughtful.

Learning Acceleration

Working with agents that could explain their reasoning helped me understand new patterns and approaches faster than traditional documentation or tutorials.

Challenges and Lessons Learned

Coordination Complexity

Managing multiple agent conversations requires careful coordination. I learned to maintain a central document tracking each agent's progress and responsibilities.

Integration Points

Even with parallel development, integration points need careful attention. The orchestrator agent was crucial for ensuring components would work together seamlessly.

Quality Control

Speed doesn't mean sacrificing quality, but it does mean being more intentional about testing and validation throughout the process.

The Future of Development

Agentic coding isn't just a productivity hack—it's a glimpse into the future of software development. As AI capabilities improve, the bottleneck shifts from implementation to architecture and creative problem-solving.

This website is proof that individual developers can now accomplish what once required entire teams. But more importantly, it demonstrates that the relationship between human creativity and AI capability is just beginning to be explored.

Getting Started with Agentic Development

If you're interested in trying agentic coding:

1. Start with clear project definition—agents work best with specific, well-defined goals

2. Break work into independent tasks—identify what can be parallelized

3. Establish an orchestrator—one agent should coordinate overall architecture

4. Maintain integration points—plan how parallel work will come together

5. Iterate quickly—the speed advantage compounds with rapid feedback cycles

The development landscape is changing rapidly, and agentic coding practices are at the forefront of that change. This website—built in 4 hours instead of 4 weeks—is just the beginning of what's possible when humans and AI truly collaborate.

What will you build in your next 4 hours?