⚡ Atlanta TechWeek Vibe Coding Camp : Build Fast. Ship Faster. Learn the Entire AI Dev Stack.
Welcome to 2026 — We're Building, Not Debating.
Vibe Coding Camp is a hands-on hybrid build session for developers, founders, indie hackers, designers, and AI-curious builders who want to learn modern AI-native development by actually shipping software.
Explore today's leading AI coding environments while learning how production AI applications are built using the AINative platform—including Managed Inference, Cody CLI, and ZeroDB.
This isn't another AI demo.
It's a build session.
🧠 What is Vibe Coding?
Vibe Coding is:
Rapid AI pair programming
Prompt-first iteration
Real-time architecture thinking
Building before over-planning
Shipping small → testing → improving
It's creative, technical, slightly chaotic—but grounded in production workflows.
The goal isn't simply generating code.
The goal is learning how to design systems that AI can continuously help you build.
🛠 What You'll Build With
This camp remains tool-agnostic by design.
We'll compare the best AI developer tools available today while showing how they connect into a production-ready AI-native stack.
🔥 AI IDEs & Coding Agents
Windsurf
Cursor
Kiro
AntiGravity
Trae
Claude Code
Google CLI
Cody CLI
AINative IDE (Open Source)
We'll compare workflows, prompting styles, architecture patterns, and developer experience across these environments.
Because no single IDE wins every job.
Learning when to use each one is part of becoming an AI-native developer.
⚡ The AINative Platform
Rather than stitching together dozens of disconnected services, you'll build on the same production infrastructure used to ship AI-native applications.
🚀 Cody CLI
Your AI-native development companion.
Use Cody CLI to:
AI pair program from the terminal
Scaffold applications
Generate and refactor code
Build and orchestrate AI agents
Accelerate debugging and development workflows
Ship faster with structured AI collaboration
🧠 ZeroDB
The memory layer for AI applications.
Build applications that remember.
Use ZeroDB for:
Vector search
Long-term memory
Embeddings
Knowledge storage
Structured application data
Event storage
Agent state
Semantic retrieval
Instead of bolting memory onto AI, you'll build memory into your application from day one.
⚡ Managed Inference
Deploy AI without managing GPUs or model infrastructure.
Build against a single API while accessing today's leading foundation models.
You'll learn how to:
Route requests across multiple LLM providers
Swap models without rewriting your application
Optimize for speed, quality, or cost
Move from local development to production with minimal changes
Focus on building your product—not managing inference infrastructure.
Additional Platform Components
AIKit production UI components
AINative APIs
Multi-agent workflows
Local + cloud deployment
OpenClaw peer-to-peer AI runtime
🌐 OpenClaw
We'll introduce OpenClaw as an experimental runtime for:
Running agents locally
Peer-to-peer coordination
Distributed AI collaboration
Private AI networks
Self-hosted AI infrastructure
We'll explore what happens when your AI applications aren't limited to local or cloud—but can operate across decentralized AI networks.
🛠 What We'll Build (Live)
Together we'll:
Build an AI-native application from scratch
Compare AI coding workflows across multiple IDEs
Build using Cody CLI
Connect Managed Inference to production models
Give our application memory using ZeroDB
Wire production UI with AIKit
Experiment with prompting strategies
Compare structured vs. unstructured AI pair programming
Deploy a working prototype
Experiment with OpenClaw agent nodes
You can either:
Follow the guided workshop
or
Bring your own project and vibe-code it live.
Mentors will circulate throughout the room helping optimize architecture, prompting, and development workflows.
🎯 What You'll Leave With
A working AI-native application or validated prototype
Experience using today's leading AI IDEs
Hands-on experience with Cody CLI
A production-ready understanding of Managed Inference
Practical experience integrating ZeroDB memory
A repeatable AI-native development workflow
Better prompting and AI pair programming skills
Clear guidance on choosing the right IDE for each project
Rules and workflows you can reuse across Claude Code, Cody CLI, Cursor, Windsurf, and other AI coding tools
Most importantly—
You'll understand how modern AI applications are actually built.
Not just how they're demoed.
🕘 Schedule (Eastern Time)
9:00 – 10:30 PM
Welcome
AI ecosystem overview
The modern AI-native stack
Managed Inference, Cody CLI & ZeroDB walkthrough
10:30 PM – 12:30 AM
Guided build session
AI IDE comparison
Cody CLI development workflow
ZeroDB integration
Managed Inference implementation
12:30 – 1:00 AM
Break
Networking
1:00 – 3:30 AM
Open build session
Bring your own idea
Extend the starter application
Architecture reviews
Mentor support
3:30 – 5:00 AM
Demo Day
Project showcases
Next steps
Deploying your application
🚀 Who This Is For
Engineers exploring AI-native development
Founders building MVPs quickly
Developers adopting AI pair programming
Builders comparing Cursor, Windsurf, Claude Code, Cody CLI, and other modern AI tools
Teams evaluating production AI infrastructure
Anyone who wants to stop reading about AI and start shipping AI products
No gatekeeping.
No tribalism.
We're here to build.
🧰 Bring Anything That Makes You Better
🖥 Laptop + charger
🎧 Headphones
🍫 Snacks
🧦 Hoodie
💡 Your weirdest startup idea
⚡ Build AI Applications, Not AI Demos
Vibe Coding Camp is where builders learn the complete AI-native workflow—from writing code with Cody CLI, to giving applications persistent memory with ZeroDB, to deploying production-ready AI using Managed Inference.
Whether you're experimenting with Cursor, Claude Code, Windsurf, or Cody, you'll leave knowing how these tools fit together into a real AI-native development stack.
See you in the build zone. 🚀