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Ethereum Application Developer Course

AI Tooling

Purpose

Section titled “Purpose”

AI tooling is part of the course method. Learners should use AI to accelerate reading, planning, debugging, testing, and review, while still making security and design decisions themselves.

Required AI Context

Section titled “Required AI Context”

Before starting Ethereum-specific work, ask the AI assistant to read:

Section titled “Recommended Prompt”
You are helping me complete an Ethereum application developer lab.
First read https://ethskills.com/SKILL.md and https://docs.scaffoldeth.io/llms-full.txt.
Then use the current lab brief to produce:
1. A step-by-step implementation plan
2. Commands I need to run
3. Files I need to edit
4. Tests I should write
5. Security risks I should check manually
Do not ask for or store private keys, seed phrases, or real-wallet credentials.

Module Mapping

Section titled “Module Mapping”
Module AI Context to Prioritize
Module 0 SKILL.md, Ship, Tools
Module 1 Why Ethereum, Protocol, Gas, Wallets
Module 2 Standards, Tools, Security
Module 3 Ship, Tools, Orchestration, Scaffold-ETH 2 docs
Module 4 L2s, Gas, Wallets, Security
Module 5 Money Legos, Security, Ship

What AI Should Help With

Section titled “What AI Should Help With”
  • Explaining unfamiliar Ethereum concepts
  • Translating docs into actionable steps
  • Drafting tests
  • Debugging compiler and deployment errors
  • Reviewing README structure
  • Performing a first-pass security review
  • Comparing implementation choices

What AI Must Not Handle Alone

Section titled “What AI Must Not Handle Alone”
  • Private keys, seed phrases, or production credentials
  • Real asset movement
  • Final contract permission design
  • Final security sign-off
  • Deployment to production networks
  • Legal, regulatory, or financial claims

Required AI Development Note

Section titled “Required AI Development Note”

Every learner should submit an AI-assisted development note with:

  • Resources the AI was asked to read
  • Prompts used
  • Useful AI outputs
  • Incorrect or unsafe AI outputs
  • Human corrections
  • Remaining risks that require manual judgment

Safety Checklist

Section titled “Safety Checklist”

Before running AI-generated commands or code:

  • Check that no private key or seed phrase is included.
  • Check that the network is a testnet unless explicitly instructed otherwise.
  • Read any contract that transfers tokens or ETH.
  • Confirm who has owner or admin permissions.
  • Run tests before deployment.
  • Keep a record of what changed.