Chatbots are used universally today on many websites to interact with the human users that

Even looking past the scruples, it just doesn’t scale. You probably just don’t have that kind of time. And even if you did, it’s not the best use of your preparation time.

I did a little thought experiment to see how long it would take me to solve 1059 questions while having a full time job. Based on my experience, it takes approximately 1–1.5 hours to attempt a solution and then look up/research alternative ways to solve the problem. So, solving 1059 questions would take 1059 hours. Assuming that you are trying to prepare while you have a full-time job, and that you dedicate 1.5 hours a day after work to LeetCoding, and never miss a single day, solving 1059 questions will take you a grand total of 1059 days, or approximately 2 years. 2 years?! Ok, WTF.
LeetCode recognized a need and built a platform that was interactive, was closer to how interviews were being conducted in the real world and just worked. LeetCode does its job remarkably well- the problem definitions are succinct, the community is thriving and discussion forums have high quality discussions.
Having practiced or seen an interview question might actually work against you. As the interviewers are becoming aware of the LeetCode Phenomenon, they are likely to tweak the problems to add/remove constraints which might throw you off.
Fast forward to mid 2020, and I was interviewing again. The coding interviews seemed a lot different from 2016, not only because we were in the middle of a pandemic (not the focus of this article), but also because how LeetCode had evolved as a platform.

The primary cons of this, in my mind, are the limited error checking and data manipulation of VTL templates vs. a full code solution. If this is a public API where you have no control of the clients making calls, that error checking alone may be worth inserting a Lambda. The other con to me is use of VTL templates in general, and testing this. I’ll be the first to admit that this is more difficult to test. That said, I’ve found that this is one place the AWS console is handy, as they have a way to directly test such VTL in this setup. I’d rather have a unit test in my code, but at least there’s something.

LeetCode is the great equalizer. Whether you are interviewing for an internship, as a fresh grad just out of college, or as a seasoned Engineering Manager, you’d better be LeetCoding.
In the winter of 2015, I was working as a Software Engineer at Microsoft and looking for my next Software Engineering job, albeit with little success. I remember expressing my frustration to a friend over a velvety Stout beer at a funky bar in Seattle’s Ballard neighborhood on a cold, rainy November night. I remember his words clearly:
Before we get into what you can do to stay competitive, let me point out that trying to solve every single problem on LeetCode with the hope that you will get a question that you’ve already solved has a few issues:
I crawled home from the bar that November evening and started practicing problems on LeetCode. Over the next few weeks I practiced several dozen problems. Practicing made a huge difference that time and I eventually landed and accepted an offer from Google in 2016.

While working at Google, I went through the list of interview questions tagged as “Google” and found several of them on Google’s internal interview question list (Google tries to fight this by “banning” questions that are publicly known to have been asked by Google).

The combination of AI and IoT is a big deal as they produce amazing results. With the integration of artificial intelligence in embedded IoT devices like raspberry pi and Nvidia Jetson Nano (Among many others) are capable of developing some masterpieces, which will be highly profitable and beneficial to society as a whole. Some popular examples of virtual assistants like Alexa, Siri, or Google AI show the high-level intellect and future possibilities.

The pros for me are about the overall architecture and fast API responses for this particular use case. Due to the heavy processing involved for these events, I would have to do that async regardless. This architecture simply leverages the abilities of the AWS platform, and makes the API itself very simple.

The pros for me are about the overall architecture and fast API responses for this particular use case. Due to the heavy processing involved for these events, I would have to do that async regardless. This architecture simply leverages the abilities of the AWS platform, and makes the API itself very simple.The consequence of the “cheating mode” is that the interview bar ends up being raised — largely because the industry is flooded with self proclaimed “Prolific LeetCoders” who have solved over 1000 questions and are hoping to get interview questions that they’ve already solved before. Here is screenshot from the Blind app (an anonymous forum for Tech Employees), where we have a self proclaimed “Prolific LeetCoder” who has solved 1059 of the 1132 questions available on LeetCode:The power of Virtual Assistants powered by Artificial Intelligence is not limited to smartphones or computer devices. They can also be used in IoT devices and embedded systems to perform tasks effectively and control the entire surrounding around you. An example of this can be home automation using a Raspberry Pi, where you are able to control your entire house with a simple voice command.

There were several programming platforms like TopCoder that were interactive and had a browser based IDE. However, these were optimized for competitive programming where the problem description itself would span multiple pages and you’d spend half the time trying to figure out the right input/output format rather than building actual algorithms.

It’s harder to internalize concepts/learning due to a lack of reflection. This is because you are offered one (or zero) solution to problems which can typically be solved in many different ways.

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