Human + AI Production Pipeline

AI-Augmented
Engineering

I leverage a deeply integrated AI production ecosystem to accelerate architecture, coding, backend deployment, and iteration. This is a technical documentary of how I build scalable systems faster and smarter.

Central Orchestration Layer

Connecting Ideation to Production

ChatGPT Claude Unity MCP Supabase

The AI Brainstack

ChatGPT

Role: Brainstorming, task decomposition, workflow organization, and architectural discussions.

> System prompt: Break down multiplayer netcode.
1. State Sync
2. Client Prediction

Claude

Role: Deep reasoning, long-form technical analysis, refactoring complex systems.

public async Task SyncState() {
  await _networkManager.Dispatch();
}

Gemini

Role: Deep research, cross-referencing documentation, exploring alternative algorithms.

Search API Docs Sync

Antigravity

The Command Center & Orchestration Layer

Everything connects through Antigravity. It orchestrates workflows, integrates external systems, and accelerates production pipelines by acting as an intelligent agentic hub.

Workflow Orchestration Agentic Execution Production Acceleration
AG:~$

OpenRouter

Role: Unified model gateway, handling dynamic model routing between Claude, GPT, Gemini, and MiniMax.

Opencode

Role: In-IDE implementation, real-time code generation, intelligent refactoring, and contextual editing.

Windsurf

Role: Iterative development sessions, rapid prototyping, and focused, context-aware engineering tasks.

Devin

Role: Autonomous coding, multi-step execution, and large-scale background refactors.

Unity MCP Integration

Controlling the Unity Editor through AI. This enables unprecedented automation for scene manipulation, prefab generation, component configuration, and runtime debugging directly via LLMs.

Unity Editor - AI Bridge Active Connected
Hierarchy
GameManager
PlayerController [AI Generated]
MainCamera
Directional Light
Scene View
AI Context Synced
> Applying RigidBody parameters...
> Updating Colyseus Network Transform...

Infrastructure & Deployment

Supabase

Role: Realtime databases, Auth, Edge Functions, and Postgres management.

Realtime Sync

Google Cloud

Role: Scalable infrastructure, robust APIs, and heavy computational offloading.

Serverless Deploy

/ Ops

Role: Automated billing via Stripe and CI/CD portfolio deployment through GitHub Pages.

Pipeline Active

How A Project Flows

1. Ideation & Architecture

ChatGPT & Claude construct the system blueprint, breaking down requirements into agent-actionable tasks.

2. Task Generation

Antigravity orchestrates the plan, spinning up parallel execution threads for autonomous assistants (Devin, Windsurf).

3. Implementation (Unity + AI)

Opencode handles inline generation while Unity MCP manipulates the editor state directly, bridging the LLM to the engine.

4. Backend Integration

Supabase tables and edge functions are spun up dynamically, authenticated, and wired into the Unity client.

5. Deployment

CI/CD pipelines push builds to WebGL/Mobile, portfolio sites auto-deploy via GitHub Pages, and Stripe handles monetization.

Why This Workflow?

AI isn't just about generation; it's about orchestration and iteration speed. By integrating these tools directly into my engineering pipeline, I reduce repetitive boilerplate, explore multiple architectural solutions rapidly, and amplify my capabilities as a Lead Developer. It is a technical multiplier, allowing a single engineer to architect, build, and deploy full-stack interactive ecosystems at unprecedented speeds.