How do you optimize gas usage in Polygon PoS applications?

1

Hey everyone,
I’m looking for practical guidance on reducing gas costs when building or interacting with applications on the Polygon PoS network.

I’d love to hear from developers, auditors, or anyone with hands-on experience about what techniques, patterns, or tools you use to keep gas consumption low. Specifically, I’m interested in:

Smart contract optimization:
– What Solidity patterns help reduce gas?
– Any pitfalls that tend to increase gas on Polygon compared to Ethereum?
– Tips for struct packing, avoiding unnecessary storage writes, efficient loops, etc.

Transaction-level optimizations:
– How to batch operations or restructure workflows to minimize transactions?
– Are there Polygon-specific best practices for submitting or relaying transactions?

Polygon PoS-specific considerations:
– Since Polygon uses a different architecture (Bor/Heimdall), are there gas behaviors unique to the network?
– Any RPC, tooling, or middleware tricks that help with gas efficiency?

Tooling & analysis:
– Recommended gas-profiling tools (e.g., Hardhat, Foundry, Tenderly, etc.).
– Methods to benchmark gas usage across versions of your contracts.

If you have examples, benchmarks, tutorials, or lessons learned, that would be incredibly helpful.

2

Optimizing gas in Polygon PoS applications involves efficient smart contract design and transaction management. Key strategies include: minimizing storage writes and state changes, using smaller data types, batching transactions, leveraging libraries like OpenZeppelin, and avoiding loops over large arrays. Off-chain computations, meta-transactions, and Layer-2 specific optimizations—such as using Polygon-native token bridges or efficient calldata structures—also reduce gas costs. Profiling contracts with tools like Hardhat or Tenderly helps identify gas-heavy functions and optimize them before deployment.