Advanced Solidity: Yul and Assembly
What you'll learn
- How to create Ethereum smart contracts in assembly
- How to respect solidity's memory and function call conventions when using assembly
- How smart contracts work on the bytecode level
- How to create a smart contract entirely in Yul and assembly
Requirements
- Experience with Solidity
Description
If you've wondered what solidity is doing behind the scenes, this is the course to take. Perhaps you've head of assembly in Ethereum smart contracts and heard it can be efficient but dangerous. After you finish this course, you will have a ground-up understanding of what exactly happens when a smart contract receives a function call, how it encodes that data, where exactly it stores it, and how it updates the blockchain state. Even if you don't write contracts in assembly, you will have a much better understanding of solidity's design choices and previously cryptic error messages will make perfect sense.
We will learn how solidity represents various data types, and how we can come up with more efficient representations ourselves depending on the application. We will learn the assumptions solidity makes about memory layout and how to avoid violating those assumptions when we use low level instructions. We will learn what happens behind the scenes when smart contracts make function calls to each other, and how to implement that protocol by hand. And of course, we will build smart contracts from scratch in assembly.
Nobody can claim to be an expert in solidity without mastering assembly (also known as Yul). So if mastery is your goal, take this class!
Note: This class is not for beginners. You should be very comfortable with solidity before taking this course.
Who this course is for:
- Advanced Solidity programmers looking to master the subject
Instructor
Hi there!
I'm the founder of RareSkills, the most comprehensive blockchain and solidity training bootcamp. Our students have gotten interviews at top blockchain companies even before graduating.
Previously, I started and led the video machine learning group at Yahoo. I have two patents in Artificial Intelligence and have placed in the top 10 in international machine learning contests. At the time, I was the youngest Senior Manager at Yahoo, coordinating engineering at scale for video ingestion and machine learning algorithm selection.
I got my graduate degree in theoretical computer science at Columbia University in New York.
I'm an avid startup advisor and have helped startups advance between funding rounds.