⚡ 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. 🚀