Principles of Gas Optimization — Forge College

Why do two seemingly similar smart contract implementations produce very different gas bills? The answer lies in opcode-efficiency: the types, counts, and execution paths of EVM opcodes that your high-level code compiles down to.

What you'll learn
In this lesson you will learn the core principles that make one implementation cheaper than another. We explain how gas cost maps to EVM opcodes and why opcode type (computational vs state vs environmental), opcode frequency, and execution path together determine real-world gas usage. You'll see which opcode categories typically dominate a gas budget—especially expensive state operations like SLOAD and SSTORE—and how common high-level changes (caching state variables, reducing storage writes, using calldata instead of memory) translate into fewer or cheaper opcodes. Finally, you'll get a simple inspection workflow to compare two implementations for opcode-level cost drivers before running on-chain benchmarks.

Who this is for
This lesson is designed for beginner Solidity or EVM developers who understand basic smart contract structure and want principled ways to reduce gas. No advanced tooling required—focus is on the mental model and practical inspection steps.

Key topics covered
- What opcode-efficiency means and why it predicts gas cost
- Opcode categories: cheap arithmetic (ADD, MUL) vs expensive state ops (SLOAD, SSTORE) vs environmental/CALL
- How opcode frequency and execution path (hot paths) drive real costs
- High-level patterns that lower opcode counts: caching, fewer storage writes, calldata vs memory
- A simple workflow to inspect opcode traces and prioritize edits

Ready to dive deeper into gas mechanics and optimization techniques? Learn more at https://www.forge.college/

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