Build & Deploy a Counter Contract on Kite AI using Hardhat
What is Hardhat?
Hardhat is a local development environment for Ethereum-style (EVM) blockchains. It lets you: • Compile, test, and deploy contracts from your machine. • Script deployments and verifications (great for CI/CD). • Fork networks locally, run a local node, and debug with stack traces and console logging. • Use a rich plugin ecosystem (ethers.js, Etherscan-style verification, gas reporters, coverage, etc.).
In this section, we will go over Hardhat workflow:
- Set up & Scaffold project
- Write contract
- Compile
- Configure network
- Deploy via script
- Interact via console/scripts
Prerequisites:
• Node.js 18+ and npm (or pnpm/yarn)
• A funded wallet (for Kite testnet/mainnet)
• MetaMask (optional - recommended for managing keys)
• Git (recommended)
1. Create a Hardhat Project:
Create and enter a new folder:
mkdir kite-counter-hardhat && cd kite-counter-hardhat
- Add the Kite AI network to MetaMask using the same RPC URL and Chain ID you placed in .env.
- Fund the deployer address with KITE (or test KITE on testnet) to cover gas.
- Ensure the private key in .env matches the funded account.
- VIsit the explorer site - https://testnet.kitescan.ai/
- Copy and paste the deplotment contract from previous step on the search bar
- Look up the deployer details ( your public key) and contract details on the results page.
• Insufficient funds for gas * price + value - Fund your deployer wallet with KITE (or test KITE).
• Invalid sender / nonce too low - Reset your account nonce in MetaMask or wait for pending txs to clear; you can also specify a higher nonce manually.
• Unsupported chainId - Ensure KITE_CHAIN_ID in .env matches the network’s actual chain ID.
• No PRIVATE_KEY set - Add PRIVATE_KEY to .env and restart your command.
• Never commit secrets (.env in .gitignore).
• Use a deployment-only wallet with limited funds.
• For teams, consider multi-sig for production keys and use a deployer bot with restricted permissions.
• Pin exact versions in package.json to ensure reproducibility.
• Keep compiler optimizations consistent across environments.