Building on Ethereum Human vs AI — Who Wins
summary
Compares a hands‑on Scaffold‑ETH workflow (create-eth, Hardhat/Foundry choices, ABI→TypeScript generation, yarn deploy/verify → Base) with an AI pipeline using OpenClaw and ETH Skills; AI auto-writes an Auction.sol, produces tests that pass and a partial front end but trips over Foundry vs Hardhat and misses UI polish, while the manual flow deploys to Base, verifies on Block Explorer and publishes to IPFS; OpenClaw crashed mid‑demo, manual approach succeeds.
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chapters (28)
- 0:00Introduction
- 1:35Workshop Overview: Human vs AI Building
- 2:23What Is Scaffold ETH
- 3:13Introduction to ETH Skills
- 4:21Setting Up OpenClaw with ETH Skills
- 4:57Prompting Strategy: Claude to OpenClaw
- 5:42Scaffolding a Project with Create ETH
- 7:05Project Structure Walkthrough
- 8:56Next.js Front End and Scaffold Hooks
- 11:09ABI and TypeScript Type Generation
- 13:01Checking on OpenClaw Progress
- 14:06Running the Local Chain and Deploying
- 15:24Scaffold ETH UI and Burner Wallet
- 17:30AI Builds the Auction Contract
- 18:54AI Mistakes: Foundry vs Hardhat
- 22:20Deploying the Auction Contract to Base
- 25:21Generating and Funding a Deployer Key
- 27:25Verifying the Contract on Base
- 29:04Fixing the AI-Generated Front End
- 30:20Publishing to IPFS and Vercel
- 34:53Speedrun Ethereum Overview
- 38:45Synthesis Hackathon and Bonfires
- 40:27OpenClaw Status Check
- 43:33Q&A: Reverting vs Fixing AI Mistakes
- 46:08Live Demo: Creating an Auction on Base
- 52:04Q&A: Cursor vs VS Code Workflow
- 56:30Q&A: When Not to Use Scaffold ETH
- 57:33OneClaw: Secrets Management for AI Agents
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