Skip to content
zk-engine

zk-engine

ZK SDK: Circom → Solidity → Ethereum

Created on 30th November 2025

zk-engine

zk-engine

ZK SDK: Circom → Solidity → Ethereum

The problem zk-engine solves

🚀 The Problem zk-engine Solves

Building Zero-Knowledge applications on Ethereum and L2s is still painful, fragmented, and slow.
Developers today must juggle multiple tools — Circom, snarkjs, Solidity verifiers, contract deployment scripts, proof generation flows, and chain–specific integrations.

This creates several problems:

  • Complex multi-step ZK workflow (compile → setup → prove → generate verifier → deploy → verify)
  • Different chains require different deployment flows
  • High chances of misconfiguration and incorrect verifier logic
  • Manual scripting required for proof generation & verification
  • Not beginner-friendly; steep learning curve for hackathons and production

zk-engine solves this by giving developers a single unified CLI + SDK for the entire pipeline.


🛠️ What People Can Use zk-engine For

🔹 1. Build any ZK-powered application

Developers can compile Circom circuits, generate proofs, and integrate verification into smart contracts with a simple command.

🔹 2. Deploy ZK verifiers to any EVM chain

Ethereum, Arbitrum, Optimism, Base, zkSync, Scroll, Polygon — all supported through one interface.

🔹 3. Test circuits instantly

zk-engine test

runs proofs locally, validating correctness before deployment.

🔹 4. Generate verifiable events

Use

verifyAndEmit

to emit zk-verified on-chain events for analytics, identity, attestations, compliance, etc.

🔹 5. Automate end-to-end ZK workflows

Removes the need for snarkjs scripting, manual verifiers, or chain-specific deploy scripts.


🔒 How zk-engine Makes ZK Development Easier & Safer

  • One-command compilation – No need to manage WASM, zkey, or verifier generation manually.
  • Unified verifier deployment – Avoids errors from manually stitching Solidity and network-specific tools.
  • Abstracted proof verification – Guarantees correct formatting of public signals and calldata.
  • Consistent developer experience across Ethereum and all L2s.
  • Reduced attack surface by standardizing trusted setup, proof generation, and on-chain verification.
  • Beginner-friendly – Even new devs can build ZK apps in minutes.

🎯 Summary

zk-engine simplifies the entire Zero-Knowledge development lifecycle.
It turns a messy, error-prone ZK workflow into clean, production-ready commands , allowing developers to focus on building powerful privacy, identity, and computation-heavy dApps instead of struggling with tooling.

Challenges we ran into

🧩 Challenges I Ran Into

Building zk-engine wasn’t straightforward, integrating Zero-Knowledge tooling with EVM workflows revealed several unexpected hurdles. Some key challenges:


🔧 1. Multi-tool ZK Pipeline Was Extremely Fragile

Circom → snarkjs → Solidity verifier → deployment scripts is a pipeline where one small mismatch breaks everything.

Issue:
Different versions of Circom/snarkjs generated slightly different verifier formats, breaking contract deployment.

Solution:
I standardized the whole flow inside zk-engine by:

  • Pinning tool versions internally
  • Auto-generating consistent verifier.sol templates
  • Validating proof/public-signal structure before compilation

This eliminated 90% of "proof verification failed" errors during development.


🧪 2. Recursively Testing Proofs Was Slow & Error-Prone

Running proof generation manually for every test cycle added minutes of slowdown.

Fix:
I built

zk-engine test

, which:

  • Auto-infers the correct input
  • Generates proof + public signals
  • Runs a local verification
  • Surfaces mistakes with human-readable errors

This turned a 5–7 minute loop into a few seconds.


📦 3. Deploying Verifiers Across L2s Was Inconsistent

Each EVM chain required different RPC settings, gas configs, and constructor arguments.

Issue:
Manually writing deploy scripts led to frequent mismatches between proof calldata and deployed verifier logic.

How I solved it:
I built a unified

zk-engine deploy

wrapper that:

  • Normalizes Verifier ABI handling
  • Auto-detects RPC chain info
  • Ensures constructor parameters match Groth16 formats
  • Prevents bad deployments with pre-deploy checks

This made verifier deployment identical across ETH, Arbitrum, Optimism, Base, Polygon, Scroll, etc.


🔐 4. Handling Trusted Setup Artifacts Was Messy

Developers often misplace

.wasm

,

.zkey

, and proving keys.

Fix:
I introduced a standard folder structure:

  • circuit_js/
  • circuit.wasm
  • circuit.r1cs
  • circuit_final.zkey
  • verifier.sol
  • proof.json
  • public.json

zk-engine automatically reads/writes from here, removing file-management errors.
This made verification consistent across chains.


🎉 Outcome

Overcoming these challenges helped shape zk-engine into a reliable, consistent, and developer-friendly ZK framework, something I wish existed when I first started working with Circom and zkSNARKs.

Cheer Project

Cheering for a project means supporting a project you like with as little as 0.0025 ETH. Right now, you can Cheer using ETH on Arbitrum, Optimism and Base.

Discussion

Builders also viewed

See more projects on Devfolio