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Digital assets market got bigger as everyone started buzzing about the new possibilities of the Metaverse. And now, it gained a definition of a New Digital Economy. No Metaverse enthusiast doubts: digital worlds will be the next big thing and will allow people to create their independent economies within. But it seems that owning an asset that people can put to work is still a challenge and takes more luck than a strategy to choose the right one. All about the Decentraland The most popular world that caught many people's attention is Decentraland, and it's full of activities to offer. Decentraland is a decentralized 3D virtual reality platform that consists of 90,601 parcels of land. Units of virtual land in the Decentraland are NFTs that can be bought with the $MANA cryptocurrency. Decentraland was opened to the public in Feb 2020 and is overseen by the nonprofit Decentraland Foundation. There are 90,601 total parcels of LAND, and 43,689 of them can be bought and sold. It is one of the first Metaverses available for the public to join, gathering the attention not only from tech enthusiasts but also gradually gaining popularity in gaming and fashion communities. What do people do in the Decentraland With big brands like joining the Decentraland world, people are eager to check what's the buzz is all about and, of course, vice versa. Coming to the world is an easy and playful experience. The moment you're there with your customizable avatar, you can participate in various activities like playing in a casino, trying mini-golf, or showing your moves on the dance floor with your favorite DJ playing. And most importantly, socially interact with other avatars. Samsung How to own a digital asset: strategy and luck You can always upgrade yourself to a proud LAND owner when you're tired of just wandering around. And for that, you'll need to visit the marketplace. According to Decentraland data, last week, the biggest trade in Decentraland was worth $354,315.0 (149,500 $MANA at the time). The buyer purchased a bundle of 19 parcels, and it seems that he has plans to build a shopping mall there. So the economy is active, and surging prices and speculators are joining the game every day, making an average deal of $18,819 for one land. Nevertheless, nobody is sure how to choose a LAND. And the biggest question remains - what criteria should it pass as a good choice? Some say it's all about your location and how far you are from the main attraction places like Plazas and Districts, and some say it's nothing because people usually teleport to the different sites. But everyone agrees - there's also a buyer's luck to grab the one that will be in high demand soon. But more and more data can be found floating around the Internet. So the economy is active, and surging prices and speculators are joining the game every day, making an average deal of $18,819 for one land. Key metrics to follow Trying to rationalize the purchase of a digital asset - land, one should try to follow the metrics available. But unfortunately, there's no one truth out there, and landowners tend to disagree on what things should matter. I reached out to a couple of experts in the field and asked what they are predicting. It seems that traffic will be the key metric to rely on. "Attention is the most important metric that describes the value in today's digital world. Virtual worlds will be a new, spatial platform to experience shopping, entertainment, and work. Traffic will be used as the main metric to show how much attention a land or an area around it gets, and therefore how valuable it is. Lands and areas that offer best experiences will have the highest attention, therefore most traffic and will be most valuable.", says Laurynas Jokubaitis, co-founder at SqubeNFT "Attention is the most important metric that describes value in today's digital world. Virtual worlds will be a new, spatial platform to experience shopping, entertainment and work. Traffic will be used as the main metric to show how much attention a land or an area around it gets, and therefore how valuable it is. Lands and areas that offer best experiences will have the highest attention, therefore most traffic and will be most valuable." Instead of the conclusion There's no arguing that the virtual land market is still on its rise and has no signs of stopping anytime soon. With the potential and opportunity for long-runners and short-term flippers, it grows bigger every day. And we're here, on the tipping point, experiencing our real lives, slowly adapting the concept of virtual and enriching our social and professional worlds to move into the next big thing by creating economies within economies.

Owning Digital Assets in Decentraland: Is Metaverse the future?

Investing in cryptocurrency projects would be simple, straightforward, and secure in an ideal world. Unfortunately, it's not always the case. In this article, we explore two influential figures in the crypto world – Sultan Kassam and Danny De Hek – who has been accused of using tactics such as blackmail and threats to discourage people from investing in legitimate crypto projects like Apollo Fintech. We'll also look at why transparency and honesty are essential when investing in the crypto space and provide some tips on how to go about it safely. Join us as we dive deeper into this interesting topic! The Value of Honesty in the Crypto Space Honesty and transparency are essential when it comes to investing in the crypto space. It's important to educate yourself on any project you're looking to invest in to ensure you're making sound decisions with your money. Unfortunately, dishonest actors such as Sultan Kassam and Danny De Hek have used deceitful tactics to discourage people from investing in legitimate crypto projects like Apollo Fintech. This kind of behavior is unacceptable and damages the entire industry's credibility. If you're considering investing in any cryptocurrency project, do your research and be aware of its potential risks. Honesty and transparency are essential for the industry to grow, so keep your eyes open for signs of dishonesty and ensure you're not being taken advantage of. Doing this will help protect yourself and ensure that honest crypto projects like Apollo Fintech can prosper. Who Are Sultan Kassam and Danny De Hek? Sultan Kassam and Danny De Hek are two influential figures in the crypto space. Sultan Kassam (AKA Sultan Gold Inc, AKA Fort Knox, AKA Apollofintechcryptonews, AKA Cryptonite) has been accused of using tactics such as blackmail and threats to discourage people from investing in legitimate crypto projects like Apollo Fintech. He is also behind several companies operating in the United Kingdom. Danny De Hek (AKA The Crypto Ponzi Scheme Avenger) is a popular critic of blockchain projects. He seems triggered by words such as "metaverse" and "passive income." He has popularized his YouTube channel with viewers who enjoy his approach to crypto investment advice. Still, his lack of facts and biased opinions have caused some to . question his credibility The Dangers of their Bad Practices These two persons have been involved in various shady activities that can damage the industry. As mentioned, Sultan Kassam has been accused of using tactics such as blackmail and threats to discourage people from investing in legitimate crypto projects like Apollo Fintech. This kind of behavior is unethical and undermines confidence in the cryptocurrency space. Similarly, Danny De Hek has been known to provide questionable advice in his videos and spread false stories about legitimate projects that may lead people astray. His followers should exercise caution when considering his advice and do their research before making any investment decisions. We do not encourage you to follow these people online. If you are curious, you'll find them both (how convenient) on De Hek's Telegram channel. How to Properly Invest in Crypto Projects Considering that Kassam and De Hek are not interested in helping people make informed and safe investment decisions, we'll break down the process for you: Research the project thoroughly before investing. You should ask yourself: Does the project have a team? Are they active in the community? What is the roadmap of the project? Understand how blockchain technology works and what potential risks may arise. Develop a good understanding of basic financial concepts such as risk management, diversification, and portfolio management. Consider investing only what you can afford to lose. Finally, remember that despite the tremendous potential of blockchain technology, there are still some risks involved in any investment. Always proceed with caution, and be sure to do your research before investing. Summing It Up - Honesty Is Key in Crypto Investing It's important to stay informed and ensure you're not being taken advantage of. The cryptocurrency industry is still relatively new, so everyone needs to be aware of potential risks associated with projects. If you research a project thoroughly before investing, you will be much more likely to make an informed and safe investment decision. Additionally, keep your eyes open for signs of dishonesty and report any suspicious activity to the proper authorities so honest crypto projects like Apollo Fintech can continue to succeed.

Bringing Dishonest Crypto Journalists Lies to Light - The Story of Danny De Hek and Sultan Kassam

Whenever I tell my friends about the potential of Quantum Computing, for example, how a Quantum Computer (QC) can do a large number of calculations in parallel worlds, they look at me like I’m kind of crazy. So, rather than talk about it in the abstract, I decided to show them how radical QCs can be. I ordered one the other day and when I got it, I decided to look for an application that could demonstrate the power of this new form of computing. Some of my friends know that I have been a bitcoin enthusiast for many years, even when it wasn’t popular, and it occurred to me that bitcoin mining might be the problem to solve to show the power of a quantum computer (and to make some money while I sleep!) As you might expect, a quantum computer capable of solving the bitcoin mining algorithm was very expensive (this particular brand, the QIntellize Quantum Computer, costs at least $ 1million). Since the reward for mining a bitcoin block is now at 12.5 bitcoins, at $4000 per bitcoin I should be able to pay it off after mining a few blocks quickly! So I ordered a QC and set it up. It wasn’t easy to get my one quantum computer to do the work that thousands of computers around the world are currently doing in mining bitcoin blocks; but I finally figured it out! This article is meant as an introduction to both bitcoin mining and QC’s, to discuss some of the difficulties I had in cornering the bitcoin market in this way. While I won’t reveal all of my secrets (I’d rather keep my monopoly, mind you), there should be enough clues here to guide you in the right direction if you wanted to duplicate my experiment! How Bitcoin Mining Works: A Brief Overview I won’t go into all the details of bitcoin (you can do a simple search more about bitcoin since there are thousands of sites dedicated to it), or bitcoin mining (you can read more about it here: bitcoinmining.com), but this is a quick summary. Bitcoin is a de-centralized currency and ledger where a very big file (called the blockchain), consisting of blocks, each of which has a list of transactions. The blockchain is the general ledger to say what happened to each bitcoin over time and where it went. Since multiple computers are managing the blockchain, there is no one computer in charge of what’s happening — the system is built on these distributed computers agreeing about what blocks should be on the blockchain. New bitcoin are created by bitcoin miners, who are actually computers that are trying to add blocks to the blockchain. The mining itself is an algorithm that adjust in difficulty so that a new block can be added on average once every 10 minutes or so. Miners computers are trying a set of random numbers to see if they “match” the current criteria for a new block. A small random number (4 bytes) is added as part of a blockheader (which is generated based on a proposed block of transactions), and the resulting number is hashed (twice using the SHA 256 algorithm) which produces a random number at the end. If the random number is less than a certain threshold, then you have successfully generated a new block in the blockchain, which is put forward and then validated by other computers. Figure 1 shows an overview of this process (source: bitcoinmining.com) Figure 1: How Bitcoin Mining Works (source: bitcoinmining.com) So why bother? Bitcoin mining is sometimes called a “lottery” because if you successfully generate the block, you are given some bitcoin in return. Since the price of bitcoin is several thousand dollars per bitcoin now, with a market capitalization in the many billions, this can be significant. Why is this difficult? Because thus far hashing, which is the basis of current cryptography using secure keys, is a one way operation. At current, it’s impossible to know what a specific set of bits will hash to without actually doing the hashing algorithm, which has multiple cycles of moving bits around. As a result, the best way to do mining currently is to keep trying random numbers to see which one hashes to a number that is less than the target difficulty. This is why bitcoin mining pools have cropped up where a large number of computers are working in parallel to find the solution to the problem — if one of them finds the solution then the pool gets the reward, sharing it with all the other miners. How Quantum Computing Works: An even Briefer overview This idea of pools working in parallel was what gave me the idea to use a Quantum Computer instead. While it sounds like science fiction, quantum computers work, by taking into account the idea from quantum physics that there are parallel worlds out there. Every time we make a decision, we branch into multiple realities, or according to some physicists, there are multiple future probabilities that exist around us all the time. This quantum foam, consisting of multiple probably realities, can be thought of as a quantum probability wave. Quantum physics tells us that an electron is really a set of probabilities of where that electron , or that a photon is likely to be either a wave or a particle. When we observe the position or velocity of a particle, the quantum wave is said to into a specific reality. is likely to be collapse Sounding now more like Eastern Mysticism than even science fiction, it’s the conscious act of observing a particle that collapses the probability wave into a single, measurable reality. Richard Feynman first proposed the idea of a quantum computer back in the 1980s, saying that if we could create device that could use this idea of parallel universes of probability waves to try out all possible values of a specific variable and then “collapse” it into the “right” answer. It’s taken a few decades, but we are finally at the point where quantum computers are becoming viable. Quantum computers actually make difficult problems (those which require lots of computing power) significantly easier, because you are able to distribute the processing power across numerous probable realities. To bring it in to the parlance of computer science, if x is a number, and f(x) is a function of x which produces an output y, then a quntum computer can try out all possible values of x, in parallel universes, and then if you make the right observation and add up all the results from different universes in a certain way, you can figure out which value of x produces y. In regular computer science, the kind I learned at MIT, all data is represented as numbers which consist of a series of bits. Each bit is either a zero or a one — either on or off. By collecting bits we can represent any number in binary (b1011 for example is four bits and represents the number 11. If you have x bits, you can represent up to 2 raised the power of x. In most computers, 32 bits or 64 bits are the standard for how numbers are stored The thing that makes QCs different form regular computers is that in addition to regular bits, they are able to use Qubits are bits which like a quantum particle, can have two different states. This means that while a regular bit must be a zero or a one, a qubit can be either a zero or a one. You don’t know until the quantum wave collapses based on some observation taken by the conscious mind. qubits. quantum If you have a certain number of bits, you can try out all the possible combinations by running through all the values of 0 and 1. For example, to try out all the numbers between 0 and 512, you need 9 bits . If you write a computer program to try each of the possible values of the 9 bits (0 and 1 for each bit), ranging from 0=b000000000 to 1 = b000000001 to 511 = b111111111. How To use a QC for Bitcoin Mining So this brings us to how I used the quantum computer to solve the bitcoin mining problem. If you have 9 qubits, you can try out all the values from 1 to 511 simultaneously. If you had 64 bits, you could try out the hash algorithm for all possible values of x to figure out which ones when input into function f(x) lead to a result of y, or in the case of bitcoin mining, less than some target value y. The bitcoin algorithm, relies on an input shown in Figure 1 (source: bitcoinmining.com), if you think of a potential new block of transactions, you have to generate a header. The header of a block consists of several components, including a nonce which is a random 32 bit number. See Table 2 for a list of the possible values. The exact algorithm is described here: . The result of the hash is a 256 bit integer. https://en.bitcoin.it/wiki/Block_hashing_algorithm Figure 2: Table of Inputs for Bitcoin Hash Closer inspection will reveal that of all the bytes that are used as input, only 4 bytes, the nonce, or 32 bits are actually random. The other bytes are actually coming from a block of transactions and timestamp, etc. The output is a 256 bit number which has to be less than a target. This is complicated, however by the fact that there may not be a solution for a given block of transactions, so you may be trying to find a nonce for a block of transactions which doesn’t have a solution! A is 8 qubits. So basically, what I needed was to program my QC to use 4 , or 32 , which represented all of the possible values of the random number, nonce, and append this value to a set of 76 regular bytes, and then run them through the hashing algorithm. Then I could take the output, which is a 256 bits, and choose one of the output values which is less than the target. qubyte qubytes qubits Programming the Quantum Computer Circuit It’s not quite that simple. Today, with my quantum computer, I had to come up with an actual circuit to accomplish this. In the future, there will be much simpler ways to program quantum computers — I envision a simple programming language, let’s QBASIC for Quantum BASIC which would be like the BASIC language that I learned computer programming on with my Apple II back in the day. Though first I suppose an assembly language would need to be made out of the basic circuits that perform logical operations like AND, NAND, OR, XOR, etc., and then someone can write, as Bill Gates and Paul Allen did for the ALTAIR computer in 1977, write a higher level language like BASIC. The beginnings of languages like this are out there — QASM, QCL, but each of these have different models and results in quantum circuits, at least for the moment. The Quantum Computer I used didn’t have a good language, so I had to build the circuit myself. Figure 3 shows the basic circuit architecture for how I programmed my quantum computer, but simplified to 6 bits. It’s much simpler to see how this would all work with a smaller number of bits. The first four bits are the “conventional bits” and the second two bits are the qubits, which are in a super-positioned state of zero or 1. In this case the 2 qubits represent the nonce, and the 4 regular bits represent the rest of the header block. The implementation of the actual Hash Algorithm used by bitcoin (SHA-256) is left as an exercise to the reader. The idea in the bitcoin mining that the output of the hash has to be less than M, the hashing difficulty, which is adjusted in the bitcoin network every so often. From a binary perspective, what this means is that the first x bits out of n ( in our case, n = 6 bits, in the bitcoin case, n=256 bits in the output) have to be zero for the result to bed less than the difficulty M. For each level of difficulty, the number of 0’s at the front of the hash output will need to change. Figure 3: A simplified version of the Hash circuit The hard thing about quantum circuits isn’t just actually designing the circuit/program, but also to find a way to measure the output in a way that will give you the “right” (or in some cases, the optimal) answer! In a quantum computer, although all possible values of qubits are processed in all possible worlds, it’s difficult to get the output of a single case when you don’t know exactly which input value caused the output value you want. When you observe the output bits, the quantum probability wave collapses and you see only one set of possible values. While quantum computers are able to have all of the possible values of the simultaneously, we are still at the point of needing to loop through all of the possible output values to find the one that we want at random. qubits The real problem is how do you measure all of the possible values to get the one you want? It might seem we are still back to step one, as we’d have to loop through all possible solutions one by one. Finding the Optimal Solution From All Possible Worlds The key is to find some function f2(x1,x2,x3..xn) which sums up the values in all possible worlds. Using f2 as simple addition, if the values of x1… xn were all 0 for example, then you would observe the result as 0. If the values were all 1, then you would observe a value of n (x1+x2+x3). The key is what’s called quantum shaking. A quantum shake is a way to generate a wave such that the output is adjusted in the quantum universe/probably reality where the right answer is present differently from how it’s adjusted in other universes where the right answer is not present. It’s called a quantum shake because it adjusts the value in one universe. By doing this shaking a certain number of times, the input values of the nonce which resulted in outputs of less than target t, are isolated. We just take those 4 bytes, append them to the other 76 regular bytes that we put as input, and then submit the transaction to the blockchain. Another way to represent this is to use Grover’s algorithm, a well known quantum computing algorithm that cuts down the time needed to find one out of many possible solutions, as shown in Figure 4. In a simple example of Grover’s algorithm, you might have four qubits as an input, which would result in 2 to the 4th power, or 16 possible values. Figure 4: Using Grover’s Algorithm to Find the Optimal Solution Grover’s algorithm reduces this to the square root of N. So, for 16 possible values of the qubits you’d have to go through 2 to the power of 16, or 65,536 possible output values. The square root of this is 256, a significant difference. Pulling it all together The output of bitcoin mining hash algorithm produces 256 bit output (that’s why it’s called SHA-256) which is a very large number. While I won’t go through the bitcoin mining in detail, the final solution involved a bit of regular computing (assembling transactions into a block, calculating the merkle root of the proposed block, getting the previous block), the quantum computer was useful for the “hard part”, which is to find the nonce, if one exists, that will produce an output less than the difficulty. Using a combination of circuits for the hashing of the bits, followed by Grover’s algorithm or quantum shaking to reduce the search time of the solution, I was able to mine blocks by searching 256 values — easy! As I said earlier, since each mined block has a reward 12.5 bitcoins per block, you can figure out that it’s going to make me pretty wealthy pretty quickly! OK, Did I Really Do This? Those readers who are familiar with both hashing algorithms and the state of Quantum Computers today will realize that I didn’t really do this today (I wrote the first part of this post in 2016, and now that bitcoin is back in the news, I finished it in 2017). For one thing, you can just look at who’s mining the blocks and you’ll see that they are being mined by mining pools. For another thing, the bitcoin mining algorithm uses the SHA256 algorithm, which can take up to a very large number of input bits but always outputs 256 bits. For all quantum computers today, the number of bits input and the output need to be the same. Astute observers will notice that the bitcoin algorithm actually requires running SHA-256 twice, so you could theoretically do what I proposed for the second SHA-256 if you could design a quantum circuit to implement it. Also, although there are now languages to help generate the underlying circuits, they have to be fed to the quantum computer. The languages are becoming better and though some are simulating the quantum computer on conventional hardware, the whole area of quantum computing is still very much in flux, moving quickly. So, the truth is that the full extent of what I “did” is not possible. At least not yet. Although there are algorithms that can be used by quantum computers to break public/private key cryptography (Shor’s algorithm for factoring for example), the computers themselves are not yet practical. However, if and when they do become practical, today’s standard cryptography needs to be updated and new algorithms need to be invented. Another problem today with QC’s is that errors can creep up due o the physical processes which are used to superpose individual bits. While not many people know this, the reason there are two values of a bit on a computer today and not 3 is simply that a “zero” is represented by a certain range of volts and a “one” is represented by another range of volts. These ranges are far enough apart that there is very little error. Qubits are much more complicated and the physical implementation varies with each type of QC. When dealing with Quantum Computers, the chances of a physical measurement error corrupting your results are much higher than in a normal computer. In fact, you need to run the algorithm many times to be sure that there wasn’t a physical error. This article was meant to be a (theoretical) discussion that would introduce both concepts — bitcoin mining and quantum computers — for those who hadn’t been exposed to them at the level of a computer programmer. Experts in both areas will no doubt find some errors or omissions or additional reasons why this is not possible today (at least not yet!). Feel free to leave comments on how/when/if you think this will ever be possible.

How I Cornered the Bitcoin Mining Market Using a Quantum Computer (Theoretically!)

Welcome! Happy to see you in the fourth part of my Vuejs Amsterdam Conference 2022 summary series, in which I share a summary of all the talks with you. You can read my JSWorld Conference 2022 Summary series (in four parts) , where I summarized all the first day's talks. You can also find the previous parts of Vue Amsterdam in my blog. here (Recurring) Introduction After two and a half years, JSWorld and Vue Amsterdam Conference were back in Theater Amsterdam between 1 and 3 June, and I had the chance to attend this conference for the first time. I learned many things, met many wonderful people, spoke with great developers, and had a great time. On the first day the JSWorld Conference was held, and on the second and third days, the Vue Amsterdam. The conference was full of information with great speakers, each of whom taught me something valuable. They all wanted to share their knowledge and information with other developers. So I thought it would be great if I could continue to share it and help others use it. At first, I tried to share a few notes or slides, but I felt it was not good enough, at least not as good as what the speaker shared with me. so I decided to re-watch each speech, dive deeper into them, search, take notes and combine them with their slides and even their exact words in their speech and then share it with you so that what I share with you is at least at the same level as what I learned from them. A very important point and I have only tried to learn them so that I can turn them into these articles. Even This means if you learn something new, it is because of their efforts. (So if you see some misinformation blame them, not me, right? xD) Everything you read during these few articles is the result of the effort and time of the speaker itself, many of the sentences written in these articles are exactly what they said or what they wrote in Slides. Last but not least, I may not dig into every technical detail or live codings in some of the speeches. But if you are interested and need more information, let me know and I’ll try to write a more detailed article separately. Also, don’t forget to check out their Twitter/Linkedin. you can find the program of the conference: Here The Unwanted Stack - Senior Software Engineer at Microsoft Maya Shavin Develop with Vue, build using Vite and deploy using Netlify or Vercel sounds to be the perfect stack, for every Web developer. But life is not always that perfect. And to be a good developer, we need to learn and to adapt ourselves in any situation. How do we make the most out of Vue in a less perfect, or even an unwanted tech stack? Let's join her talk and find out. She uses an example of the evolution of building a window as a window manufacturer to make it easier to understand The beginning When you start building a simple window, you can build it in any shape that you want and you have a lot of choices. You have the freedom of choice and you can choose any frame(work), any shape, any supporting tool, and any building technique After a while Assuming you finish with your windows, either you become the company who makes windows because you’ve released your window out there and it became successful, or it’s just a project that you do in your free time, so now that you know how to build a window you join a company to make windows. At this point, you start to realize that you can not choose everything on your own like before. How you’re going to Deliver the window to production or the store. Delivery/Deploying: How you’re going to build a team around it; Each person in the team will be in charge of building a section of the window. Team: How you’re going to add another lock or another frame or even another layer of protection over your window to protect it from sun or rain. Scalability: You always have to maintain your window because if it’s not maintainable anymore and people use it and then one day it’s broken and someone gets hurt from it, you have to take responsibility. Maintenance: Not all of the windows will fit what your customer needs. For example, it may need to be a little curvier to fit into the area where it supposes to be. So you have to do the integration and provide customization. Integration: And suddenly, you don’t have a choice anymore and you have four factors that you need to consider to work on the window: Frameworks, Tools, Platforms, and Rules. The Platform is the base on which you build your windows on, now the question is: Can you build your Window on anything you want? → Can you build your application on any platform or server you want? Every Company has its favorite platform & stack. For example, Google has its own Google Cloud, Amazon has AWS, and Microsoft has Power app and Azure. So when you work with one of these companies you don’t decide on the platform, you work with the platform. But it’s not always your favorite one! The New Guy Phenomenon “The one who thinks he’s cooler and knows better, and always asks: Why would you do that instead of this?!” When you join a new company, this is how you feel and how other people see you because you come fresh, so when you go into the system you think you know it better and ask questions like why do you use Webpack instead of Vite?! This is common and you start wanting to change things, which is good. But it leads to another debate: “My Approach, my framework, and my stack are better!” Or after some time you fail in convincing or feel that: “What am I doing here?! I don’t know and don’t like this stack!” So are you going to leave because that’s not the stack that you want? It’s not about you The tech stack is been there for a long time. It can be changed, but It’s not about you, and It’s not about Evan You either! No one changes the stack just because of you or Evan You! It’s about the Project Window Deployment - CI/CD, Architecture, Compliance, Platforms These represent the whole process of building a project. When you come into a new team or start a new project in a company, you need to consider these four cubes and not just go ahead and talk about a cool framework that comes with some nice tool that makes it a perfect stack. You need to consider the whole thing and find out why this is good for the project. For example in a project which Maya works on in Microsoft, There is not much control on the Platform and Deployment part. The Platform is already there and has all the connections to the database and all the authentication. So you can build everything up, but it also takes away some control. You don’t have control over the build process because the deployment is taken care of by the Power Apps. You don’t have control of building the server because the server is already there and you only need to config it to work with your application. So what we have right now is the control over the architecture and compliance. Architecture Project nature (size, type, etc) When you work on a project, you have to consider the nature of the project. Not every project is the same, and not every project needs the same stack. Code Maintenance How you are going to maintain and structure your code so that when the next new guy comes into your code base, he will not feel lost in the wood? Scalability How much scalability you’re going to provide in your code? If you are going to write a normal website or a landing page, you probably don’t need scalability, but if you are going to write an application where every piece is a component going to be reused by some other team or be deployed to the customer as the component itself and they would take it and use it in their applications, you probably need to understand how to do scalability. Team performance (Skills, expertise) This is not about the performance of the application, it is about how fast a team can walk together and can help each other to achieve what you want to do. Compliance This is what you want to do to comply with a bunch of protocols that your projects are given. Startups or small companies may have fewer protocols, but in big companies like Microsoft and Google, there are many protocols to fulfill before you can release something. Accessibility Support Accessibility has to be a huge part because It is usability for everyone so you can not ignore it. Testing (E2E, Unit test) Are you going to manually run your test, check on your browser or have a whole team dedicated to doing manual testing? That’s not going to work. Nowadays finding people is hard and finding manual QAs is harder. UI Consistency Every Company has its own product and brand in UI design. For example, the Flat UI in Microsoft. At Microsoft in every single product, no matter what tech stack developers use, they have to use the same standards and protocols for the UI components, and in everything they do, the UI has to match the company’s branding and look and feel. For example, if a user uses an Excel file and there is a Save button, your new application has to have the same color and look and feel for its save button. Integration/Customization To what extent are we going to provide integration or customization? What is the level of workaround we want our customers to have? If you are going to build a store, that’s not much customization here except for the UI. But if you are going to build a dashboard that will be integrated into the customer database and pull data from the customer and it still needs to maintain the look and feel like Microsoft app, that would be the part where you trying to shape your application so that it will work with different customer needs. Select(newCoolTool) Let’s say you are the new guy on the team and you want to propose to change a testing tool. How do you want to do that? For doing that, you have to understand what are the priorities, what are the alternatives and compare them, compatibility with the system, and only then, you propose the change to your managers or your team with Data. Here is an example: Select(e2etesting) What is the goal? Speed? Visual support? Cross-browser support? Flexibility in changing test runner? Parallel testing? Accessibility testing support? How compatible is it? Platform integration? CI/CD integration? Maintenance effort? Learning effort? Why would it be THE solution? What are the tradeoffs? Developer experience? Community support Comparisons Scalability Show me some data You will do a demo, and not just a simple demo on a small or simple case, but make the test on the hardest and most complex case of your application. That takes time but if you do that, you can see the difference in performance between the two frameworks. Because the most complex situation is what you will face in the feature. If you choose one testing framework and it’s failed to do that complex case, then you have to revert and choose a different one and that means all the effort of trying to learn and write tests and adapt to the new testing framework got wasted. And be ready for questions. Change the stack, or make the best out of it There are several things that you can do to make the best out of the stack: Keep the coding standard Use TypeScript Be open-minded Create solutions, not refactor first Understand your window nature first Plan your window Instead of thy, try “What can be better?” End of the Talk fourth I hope you enjoyed this part and it can be as valuable to you as it was to me. Over the next few days, I’ll share the rest of the talks with you. Stay tuned… Also published . here

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