

- #Hype machine app android how to#
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So the team writes a little proof of concept app (server and frontend) in a couple of hours and it works and everyone goes “Yay! It does the thing! Let’s use this”. We’re all excellent devs here, let’s quickly write a proof of concept.

How dare a piece of tech’s fancy parallax website attempt to summarise those complex features into single words?īut whatever. A feature might seem to suit our needs, but it doesn’t when push comes to shove. Our use cases may seem similar on the surface, but deep down, they are often not. The website said it could do it and it passed the simple “PoC” test Let’s take on each of these and figure out how not to get caught in the traps Don't trust them! 1. It’s the only one that solves a specific problem you are trying to address.You read countless articles about how great it is.Why these techs end up in production systems? In addition to this post, I will be doing more blog posts on what is behind the hype machine of, but for now, let’s talk about the best strategies for peeling back the deceitful words of marketing, and finding out what they really can do and how that suits what you need That’s what I’m going to address in this post. And we should become better at evaluating new technologies. The amount of money that has been lost on simply learning that a new technology is the wrong one for the job is non-trivial. Use cases are updated, the projects matures eventually by which time everyone has already switched back to an industry standard or built something bespoke. Those who were burnt start posting articles about the problems that technology caused (this often takes a while, since we often doubt ourselves - is it us? Did we use it incorrectly? Is that why it’s not working?).Perhaps the API’s have bugs, maybe it leaks memory. Maybe it doesn’t scale, maybe it doesn’t have sensible defaults. After quite some time (after writing inadequate prototypes, developing with this tech, testing and maybe even putting it into the universe), the problems with the choice of technology starts to rear it’s ugly head.Sometimes based purely on the fact people are talking about it and it seems sexy. Regularly based on the company’s own misjudgement of their needs. Sometimes based on those premature use cases defined by the tech company itself. Tech companies start selecting it to use in production systems.
#Hype machine app android full#
The hype machine is running at full steam! The inventors of the technology are replying on Quora. Bloggers start writing posts and speakers start doing talks about why it’s better than everything that has existed up until now.
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Think realistically how the developers of the technology will tell the marketers and what the marketers will decide to feature.
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And it’s understandable - the world can produce software faster than the world can figure out how it works and how it needs to be used. These technologies are often still finding their way - the creators are perhaps still working out what the use cases are, the documentation isn’t quite up to scratch and the project has not matured enough to give itself sensible default configurations. A combination of tech media, the easily excited twittersphere and our relentless need to feel like actually know what is going on - results in us choosing technologies that are incorrect for the job. When I say “hype machine”, I’m referring to that effect when a new piece of technology is released. Our connectivity results in information overload What is the “Hype Machine”? Following posts will cover how we got burnt by the hype machine and what we learnt. This post will cover what the hype machine is, and how to best see past it.
#Hype machine app android series#
So this is the first in a series of posts I will be doing on this “hype machine”. It’s this technological hype machine, driven by our high connectivity, that results in our view of technology being overwhelmed by whatever is the NEW BESTEST THING. Additionally, the world seems to build software faster than we can figure out what to do with it or who it is useful for. We live in a world where our connectivity and transmission of information is faster and more voluminous than our ability to critically analyse it.
