Claude Code for Wake Smart Contract (2026)
Claude Code for Wake Smart Contract Workflow
Wake is a powerful Python-based smart contract development framework that provides testing, deployment, and formal verification tools for Ethereum and EVM-compatible blockchains. Integrating Claude Code with Wake creates a smooth development experience where AI assistance enhances every phase of smart contract development. This guide shows you how to set up and optimize this workflow, from initial project scaffolding through production deployment.
Why Wake and Claude Code Together?
Smart contract development is uniquely unforgiving. A bug in a deployed EVM contract can result in permanent loss of funds, and upgradability patterns add complexity rather than eliminate risk. Wake addresses this by providing a Python-based testing harness that is expressive, introspectable, and fast. Claude Code addresses the human bottleneck, the time spent reading documentation, writing boilerplate, reasoning about edge cases, and reviewing code for security issues.
The combination works because Wake exposes contract state as typed Python objects, making it easy for Claude to reason about what a test is doing and what it should assert. You can paste a failing test into Claude Code along with the contract source and receive actionable suggestions rather than generic advice.
| Tool | Role in Workflow |
|---|---|
| Wake | Compilation, test execution, deployment, fuzzing |
| Claude Code | Code generation, security review, test coverage analysis |
| Python (pytest) | Test structure, fixtures, assertion logic |
| Solidity | Smart contract implementation |
| Git | Version control, deployment audit trail |
Setting Up Wake with Claude Code
Before integrating with Claude Code, ensure Wake is properly installed in your project environment. Create a new Python virtual environment and install Wake alongside its dependencies:
Using uv for Python environment management
uv venv .venv
source .venv/bin/activate
uv pip install wake wake[testing] wake[cli]
If you prefer pip directly:
python -m venv .venv
source .venv/bin/activate
pip install eth-wake
Initialize Wake in your project directory:
wake init .
This creates the necessary configuration files including wake.toml, which controls compilation, testing, and deployment settings. Claude Code can then read and modify these configuration files to customize your development environment. A fresh wake.toml looks like this:
[compiler.solc]
Specify the Solidity version range your contracts require
include_paths = ["node_modules"]
[testing]
Number of parallel processes for test execution
cmd = "pytest"
[lsp]
Language server settings for IDE integration
compilation_timeout = 30
Once the project is initialized, open it with Claude Code so it can index the file structure, read the existing contracts and tests, and understand the project’s conventions before you start working.
Project Structure Best Practices
Wake projects follow a consistent structure. Keeping to this layout helps Claude give better suggestions because it can predict where files live:
my-project/
contracts/
Token.sol
Vault.sol
interfaces/
IToken.sol
tests/
conftest.py
test_token.py
test_vault.py
scripts/
deploy.py
wake.toml
pyproject.toml
Keep contracts in contracts/, tests in tests/, and deployment scripts in scripts/. Use conftest.py for shared fixtures so you do not duplicate setup logic across test files.
Creating a Claude Skill for Wake Development
Develop a specialized Claude Skill that understands Wake’s commands and Python testing framework. This skill should include knowledge of Wake’s testing syntax, deployment commands, and common development patterns.
Save this skill configuration to guide Claude’s interactions with Wake projects:
---
name: wake-developer
description: "Assists with Wake smart contract development, testing, and deployment"
---
Wake Smart Contract Development Assistant
You specialize in helping developers work with the Wake framework for Ethereum smart contract development.
Available Commands
- `wake test` - Run all tests in the `tests/` directory
- `wake test tests/example.py::test_name` - Run specific test
- `wake compile` - Compile all contracts
- `wake deploy` - Deploy contracts to specified network
- `wake clean` - Clear cache and build artifacts
Testing Patterns
Use pytest with Wake's testing utilities:
```python
from wake.testing import *
from wake.testing.console import console
@chain_fixture()
def fixture():
# Setup initial state
yield Faucet(default_chain.accounts[0], 1000 * 1018)
def test_basic_transfer(fixture):
"""Test basic token transfer functionality."""
sender = default_chain.accounts[0]
receiver = default_chain.accounts[1]
amount = 100
initial_balance = receiver.balance
# Execute transaction
sender.transfer(receiver, amount)
assert receiver.balance == initial_balance + amount
Having a custom skill pre-loaded with Wake’s command reference and testing conventions means you do not need to explain the framework each time you open a new conversation. Claude already knows that default_chain.accounts gives you funded accounts, that @chain_fixture() resets state between tests, and that deployment uses ContractName.deploy(from_=account, args=(...)).
Contract Development Workflow
Follow this workflow when developing smart contracts with Wake and Claude Code:
- Specification and Design
Start by describing your contract requirements to Claude. Include details about functionality, security requirements, and integration points. Claude can help you structure the specification and identify potential issues early.
A useful prompt pattern is: “I am building a token staking contract. Users deposit ERC-20 tokens, earn rewards proportional to their stake and time held, and can withdraw at any time with a 10-block cooldown. Identify potential security issues in this design before I write any code.”
Claude will often surface issues like: reentrancy risk during withdrawal, rounding errors in reward calculation, and edge cases when the reward pool is empty. Catching these at the design stage is far cheaper than fixing them after deployment.
- Contract Implementation
Write your Solidity contracts in the contracts/ directory. Use Wake’s compilation features to catch errors:
wake compile
Claude can assist by reviewing your code, suggesting improvements, and explaining Solidity patterns. Share specific code sections and ask for optimization suggestions or security reviews.
A practical workflow is to write a rough draft of the contract, run wake compile to confirm it compiles, then paste it into Claude Code with the prompt: “Review this contract for security vulnerabilities, gas inefficiencies, and deviations from OpenZeppelin best practices.” Address the feedback, recompile, and repeat until the review produces no significant concerns.
For complex contracts, ask Claude to generate an interface first:
// SPDX-License-Identifier: MIT
pragma solidity ^0.8.24;
interface IStakingVault {
event Deposited(address indexed user, uint256 amount);
event Withdrawn(address indexed user, uint256 amount, uint256 reward);
function deposit(uint256 amount) external;
function withdraw() external;
function pendingReward(address user) external view returns (uint256);
function totalStaked() external view returns (uint256);
}
Writing the interface before the implementation forces clarity about what the contract must do and gives Claude a specification to validate the implementation against.
- Test-Driven Development
Write comprehensive tests before implementing full functionality. Use Wake’s testing framework:
from wake.testing import *
from pytypes.contracts.StakingVault import StakingVault
from pytypes.contracts.Token import Token
@default_chain.connect()
def test_contract_deployment():
"""Verify contract deploys correctly."""
owner = default_chain.accounts[0]
token = Token.deploy(from_=owner)
vault = StakingVault.deploy(token.address, from_=owner)
assert vault.owner() == owner.address
assert vault.totalStaked() == 0
assert vault.stakingToken() == token.address
Run tests frequently during development:
wake test -v # Verbose output for debugging
wake test -k "test_name_pattern" # Run matching tests
wake test --coverage # Generate coverage report
Ask Claude to help you identify missing test cases. A useful prompt: “Here is my staking vault contract and current test suite. What scenarios am I not testing?” Claude will typically identify edge cases like: what happens if a user tries to withdraw before depositing, what happens if the reward pool is drained mid-period, and whether the cooldown period is correctly enforced across multiple deposits.
A complete test file for a simple vault might include:
from wake.testing import *
from pytypes.contracts.StakingVault import StakingVault
from pytypes.contracts.Token import MockERC20
@pytest.fixture
def setup():
owner = default_chain.accounts[0]
user = default_chain.accounts[1]
token = MockERC20.deploy(from_=owner)
vault = StakingVault.deploy(token.address, from_=owner)
# Fund user with tokens
token.transfer(user, 1000 * 1018, from_=owner)
token.approve(vault.address, 2256 - 1, from_=user)
return owner, user, token, vault
def test_deposit_updates_stake(setup):
owner, user, token, vault = setup
vault.deposit(100 * 1018, from_=user)
assert vault.stakedBalance(user.address) == 100 * 1018
assert vault.totalStaked() == 100 * 1018
def test_withdraw_returns_tokens(setup):
owner, user, token, vault = setup
initial_balance = token.balanceOf(user.address)
vault.deposit(100 * 1018, from_=user)
default_chain.mine(11) # Pass the 10-block cooldown
vault.withdraw(from_=user)
assert token.balanceOf(user.address) >= initial_balance # at least original amount returned
def test_withdraw_before_cooldown_reverts(setup):
owner, user, token, vault = setup
vault.deposit(100 * 1018, from_=user)
with must_revert():
vault.withdraw(from_=user)
- Deployment and Verification
When ready to deploy, configure your deployment settings in wake.toml:
[deployment]
Configure networks and deployment accounts
[rpc."mainnet"]
url = "${MAINNET_RPC_URL}"
[rpc."sepolia"]
url = "${SEPOLIA_RPC_URL}"
[deployment.accounts]
method = "private_key"
key = "${DEPLOYMENT_PRIVATE_KEY}"
Use Claude to review your deployment scripts and ensure security best practices are followed:
from wake.deployments import *
def deploy_contract():
"""Deploy with proper security checks."""
owner = default_chain.accounts[0]
# Verify owner has sufficient balance
assert owner.balance > deployment_cost, "Insufficient balance for deployment"
print(f"Deploying from {owner.address}")
print(f"Network: {default_chain.chain_id}")
token = MockERC20.deploy(from_=owner)
print(f"Token deployed at: {token.address}")
vault = StakingVault.deploy(token.address, from_=owner)
print(f"Vault deployed at: {vault.address}")
# Post-deployment verification
assert vault.owner() == owner.address, "Owner mismatch"
assert vault.stakingToken() == token.address, "Token address mismatch"
assert not vault.paused(), "Contract should not be paused on deploy"
print("Deployment verified successfully.")
return vault, token
Before deploying to mainnet, run a final pre-deployment checklist with Claude: paste the contract code and deployment script, and ask it to verify that all constructor arguments are correct, that no privileged functions are left unprotected, and that the contract matches the audited version.
Optimizing the Development Experience
Leveraging Claude for Code Review
Share your smart contract code with Claude for automated review:
- Paste contract code directly into the conversation
- Ask specific questions about security, gas optimization, or best practices
- Request explanations of complex patterns
- Ask for alternative implementations
For security reviews, use targeted prompts rather than generic “review this” requests. Effective patterns include:
- “Check this contract for reentrancy vulnerabilities using the checks-effects-interactions pattern.”
- “Are there any integer overflow risks in the reward calculation function?”
- “Does this access control implementation follow the principle of least privilege?”
- “What is the worst-case gas cost for the
batchWithdrawfunction if called with 100 users?”
Debugging Failed Tests
When tests fail, use Claude to analyze the error output and suggest fixes. Provide the full error message and relevant code sections. Claude can help identify common issues like:
- Incorrect contract state after transactions (often a missing approval or allowance)
- Missing event emissions that tests assert on
- Access control violations when the wrong account signs a transaction
- Integer overflow/underflow (though Solidity 0.8+ handles this natively)
- Off-by-one errors in block number calculations for time-locked functions
- Mismatched ABI types between Python test code and Solidity definitions
When pasting error output, include the full stack trace. Wake’s Python test errors often include the revert reason string, which makes diagnosis straightforward when you share it with Claude.
Using Fuzzing to Find Edge Cases
Wake supports fuzz testing via its built-in fuzzer. Claude can help you write fuzz test stubs:
from wake.testing.fuzzing import *
class StakingFuzzTest(FuzzTest):
vault: StakingVault
token: MockERC20
def pre_sequence(self):
owner = default_chain.accounts[0]
self.token = MockERC20.deploy(from_=owner)
self.vault = StakingVault.deploy(self.token.address, from_=owner)
@flow()
def flow_deposit(self, amount: uint256):
user = random.choice(default_chain.accounts[1:5])
amount = amount % (1000 * 1018) + 1
self.token.transfer(user, amount, from_=default_chain.accounts[0])
self.token.approve(self.vault.address, amount, from_=user)
self.vault.deposit(amount, from_=user)
@invariant()
def invariant_total_staked(self):
total = sum(self.vault.stakedBalance(a.address) for a in default_chain.accounts[1:5])
assert self.vault.totalStaked() == total, "Total staked mismatch"
Run the fuzzer with:
wake test --fuzz --seq-count 1000 tests/test_fuzz.py
Ask Claude to interpret fuzzer output when it finds a counterexample. Fuzz failures often reveal subtle state invariant violations that unit tests miss.
Integration with Version Control
Maintain your Wake project with Git:
git init
printf "*.pyc\n__pycache__/\n.artifacts/\n.venv/\n" > .gitignore
git add .
git commit -m "Initial Wake project setup"
Claude can help generate commit messages, create branches for features, and review changes before committing. A useful practice is to ask Claude to summarize the diff before each commit: “Summarize these changes as a git commit message following conventional commits format.”
For deployment tracking, commit deployment addresses to a deployments/ directory keyed by network and date. This creates an auditable record of what was deployed where and when.
Common Pitfalls and How to Avoid Them
| Pitfall | Symptom | Fix |
|---|---|---|
| Missing token approval | ERC20: insufficient allowance revert |
Call token.approve(spender, amount) before interacting |
| Wrong account context | Access control revert on admin functions | Check from_= parameter matches expected role |
| Stale artifacts | Test uses old ABI after contract change | Run wake compile before wake test |
| Hardcoded gas limits | Deployment fails on gas estimation | Remove explicit gas limits; let Wake estimate |
| Non-deterministic test order | Tests pass alone, fail together | Use fixtures to reset state; avoid global mutable state |
Missing must_revert context |
Revert swallowed silently | Wrap expected-revert calls in with must_revert(): |
Best Practices
- Write tests first - Define expected behavior before implementation. This forces clarity about what the contract must do and makes Claude’s code review more targeted.
- Use console logging - Wake’s console module (
from wake.testing.console import console) helps debug complex scenarios by printing values mid-test without reverting the chain. - Keep contracts modular - Break large contracts into smaller, reusable components. Easier to test, easier for Claude to review, and easier to audit.
- Test edge cases - Include tests for boundary conditions, empty states, maximum values, and error paths. Ask Claude to enumerate edge cases you may have missed.
- Review before deployment - Always run a final Claude review of the complete contract and deployment script before mainnet deployment. Include the audit scope: “Review for reentrancy, access control, arithmetic errors, and incorrect event emissions.”
- Pin compiler versions - Specify an exact Solidity version in
wake.tomlrather than a range. This ensures reproducible compilation across environments. - Document invariants - Add a comment block at the top of each contract listing the invariants it maintains. This helps Claude give better review feedback and makes audits faster.
Conclusion
Integrating Claude Code with Wake creates a powerful development environment for smart contract developers. Claude assists with code writing, review, testing, and debugging while Wake provides the solid infrastructure for compilation, testing, fuzzing, and deployment. Together, these tools significantly accelerate the smart contract development lifecycle while maintaining code quality and security standards.
The key insight is that Wake’s Python-based testing layer makes contract state inspectable and readable in a way that Hardhat’s JavaScript tests are not. Claude can read and write Python test code as naturally as application code, which means its suggestions are practical and immediately usable rather than theoretical.
Start by setting up a Wake project, creating a specialized Claude Skill, and gradually incorporating AI assistance into your development workflow. The combination of human oversight and AI capability leads to more reliable, well-documented smart contracts, and fewer late-night debugging sessions after a production incident.
Related Reading
- Claude Code for Pact Contract Testing Workflow Guide
- Claude Code for Upgradeable Contract Workflow Guide
- AI Assisted Architecture Design Workflow Guide
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