Delve into the essence of Artificial Intelligence (AI) and explore its profound implications for humanity in reshaping the modern world. Join us on a visionary journey into the imminent future, where AI stands at the helm of the most significant and transformative era the human race has ever witnessed. With AI's unparalleled potential, we are on the cusp of transcending conventional boundaries, heralding a new chapter of innovation, evolution, and infinite possibilities.
Whether you're a beginner developer starting from scratch or an intermediate developer seeking to level up, having an efficient learning strategy in place is crucial. Learning a new topic can unlock a realm of possibilities that can significantly impact the trajectory of your journey. In this article, DeGatchi will explain how he managed to optimize his learning as a self-taught developer with no prior experience, eventually becoming a renowned EVM developer.
How do you prevent MEV frontrunners from stealing your transactions, copying your smart contracts and understanding your strategies built into your smart contracts on-chain? Let me take you into the depths of the dark forest, where bleeding-edge smart contract bytecode obfuscation techniques are developed to keep your secrets hidden for longer.
Learn how the EVMs storage system works by interacting with it through smart contracts using solidity's inline assembly/yul, taking you a step closer to bridging the gap between high and low level programming! We'll walkthrough each encounter you will face by learning deal with them using bitwise operations alongside SLOAD and SSTORE to control the EVMs storage at will.
You may have have wondered how to decipher and read evm calldata, then attempted to read the transaction calldata of an Ethereum smart contract, only to become confused at a certain point. The EVM (and other L1 forks) encode and decode calldata in a specific way for static and dynamic types, which can be initially confusing. In this article, we will delve into the encoding sequence of calldata so that you can comprehend any verified or unverified smart contract transactions and understand the bytes. By doing so, I hope to empower you to create your own raw calldata.
So you've decided to particpate in bug bounties as bug hunter and are spending hours, searching, hoping to find a bug to claim your basket of gold coins...but to sometimes no avail. How do the high ranking hunters find vulnerabilities in such short amounts of time? Grab your spear, anon. We're about to explore the jungle!
If there was malware native to crypto, it would be generalised frontrunners (GFs). These pesky critters analyse each transaction that enters the mempool, and like sharks, detecting vulnerable pending transactions, striking when they observe a profitable transaction. In this article we'll unravel, step-by-step, how one of these sophiscated creatures work in hopes to shed light on the depths of the mempool.
There are so many sectors when it comes to blockchain it's somewhat hard to choose where you want to start. I like to think of it as an MMO, where there are different 'classes' or 'roles' that dictate how you play the game, to some degree. However, if you're like me you create multiple characters with different roles because you like to switch things up. You can apply the same concept to web3. Nonetheless, everything interconnects despite specialising in the different fields.