Abstract: I have ventured on the quest of discovering the best way to index a blockchain. Surprisingly little has been written about it, considering that it is a common task for any organization handling blockchain-based interactions. It seems that, it is an area dominated by in-house solutions, with very little knowledge sharing. In this post, I go over the problem, ideas, discoveries, and experiences. I also describe a Bitcoin Indexer implementation that I have worked on while researching the subject: rust-bitcoin-indexer.
I expect the reader to be familiar with at least the basics of Bitcoin.
Please note that this is not scientific research and only a spare-time project. Feel free to contact me with comments: pointing out any mistakes and ideas for improvements.
or: A token (even smart one) needs a blockchain, like a fish needs a bicycle.
Image above: Tokenizing assets on a Blockchain
In this post, I explain why I believe Blockchains are just coincidentally associated with “token economy” and smart contracts, and how in essence they are not their enablers, but actually a hindrance. Then I propose an alternative: a concept of an open, federated smart contract system, that maintains all the benefits traditionally associated with blockchain platforms like Ethereum and can practically support a global scale token-economy, without all the problems inherent to blockchain-based systems.
Today, I'm going to give a contrarian view on tests and testing in software.
From my experience, the most common view on software testing is: “Tests! Tests! Always have tests! Start with a test! End with a test! More tests – good! Less tests – bad! 100% coverage! Test everything! How can you not have tests everywhere?!” ...
... or its opposite-side tween: “Tests? Why bother? Maybe later.”
Before I go any further, a note for the typical distracted reader, that is going to skim over the text, misunderstand it, and go rage over social media how stupid the author of this post is: I'm not saying that tests are bad. I'm going to focus on the bad side, but that is not the only side. Go read somewhere else about the good sides.
I am a crypto-finance enthusiast and though I am strongly skewed toward Bitcoin maximalism, I still try to follow the space looking for promising technologies and ecosystems.
One of the coins that really caught my interest was Grin
It has no fishy business (pre-mine, dev-taxes),
is written in #Rust (which, I think, is a perfect language for #cryptofin),
it is based on MimbleWimble which is a very promising tech improving blockchain scalability.
It ticks all the boxes to be a reasonable altcoin.
The only problem with it is it's controversial monetary policy. Basically: one coin, every second, forever. While I don't mind the “forever” part, the problem with Grin's monetary policy is the steady and long initial inflation rate.
In my opinion, one of the biggest reasons why Rust is so productive is that it's a superb language for code reuse.
First, ownership and borrowing system allows exposing in the API properties that are often impossible to express in other languages. The fact that the API communicates and enforces how the resources are being created, shared and moved and destroyed, all checked at the compilation time, gives the user great confidence that they are using any API – internal or external – correctly.
Second, Rust comes with first-class built-in tooling around discovering, creating, sharing and using publicly available Open Source libraries. It's not a property unique to Rust, but it builds a powerful synergy when combined with the first point.
Third, the community (at least so far), were strongly encouraging uniformity and commonality: similar code style, similar documentation style, common core libraries, and patterns. A big chunk of this effort was achieved through great tooling like rustfmt and clippy. Thanks to this, Rust ecosystem does not feel fragmented. Jumping into a code authored by someone else does not feel like a venture into a foreign land, as it often does in other programming languages.
Together, this properties creates a language and ecosystem where code reuse is almost effortless. While in other languages it's often more tempting and more convenient to implement things yourself and avoid learning a new API, in Rust the difference between own and 3rd party code, often blurs completely. In a way, this creates a completely new quality of building your software.
Despite all these strengths, there's one problem that sticks out like a sore thumb: trust. Every additional dependency is another piece of code that could be buggy, or even malicious. And in my opinion, it's problem so serious, that is entirely blocking the untapped potential of code reuse in Rust.
The longer I do software engineering (and even things outside of it), the more confidence I have that one of the most important metrics (most important one?) in any sort of creative process is iteration time.
What do I mean by iteration time? The time between having an idea for change and getting real feedback from the real world what are the results of implementing this idea.
The world is an infinitely complex place. It's very very hard to predict the real results of any action. Because of that, to navigate world it's best to make small steps and collect feedback. The faster you can make these steps, the faster you use a new knowledge, to make new, better steps, which compounds very quickly.
Object-oriented programming is an exceptionally bad idea which could only have originated in California.
— Edsger W. Dijkstra
Maybe it's just my experience, but Object-Oriented Programming seems like a default, most common paradigm of software engineering. The one typically thought to students, featured in online material and for some reason, spontaneously applied even by people that didn't intend it.
I know how succumbing it is, and how great of an idea it seems on the surface. It took me years to break its spell, and understand clearly how horrible it is and why. Because of this perspective, I have a strong belief that it's important that people understand what is wrong with OOP, and what they should do instead.
Many people discussed problems with OOP before, and I will provide a list of my favorite articles and videos at the end of this post. Before that, I'd like to give it my own take.