Nem um mês passou desde o seu lançamento em Abril de 2020 e o seu valor já era de aproximadamente 100M$. Com apenas dois programadores, Clubhouse tornou-se num fenómeno interessantíssimo porque à primeira vista não se percebe como não existia já uma solução semelhante no mercado. Mas analisando em mais detalhe, entende-se que o seu sucesso advém de três factores: a promoção por investidores de alto perfil da indústria tecnológica, discussões e entrevistas com celebridades internacionais e acesso limitado devido à escassez de convites.
Even though online courses have been around for a while, they have never been so widespread and seen as a solution as now.
We live in an era where anything that can accelerate the readiness of professionals without an IT background, like in bootcamps, will be seen as part of a solution for the lack of professionals in the workforce and online courses are a big part of it.
Despite the hurdles of managing a company, lay-offs, price adjustments and so on, the number of users keeps growing year over year with apparently Coursera growing up to 40-45 million registered users by the end of 2019 and Udacity to be expected to hit the 11.
At a time when Content Management Systems solutions, like Wordpress or Joomla had an associated cost and required a considerable amount of maintenance, static site generators such as Jekyll, together with free hosting services like Github Pages, were created to help users set up, host and run their website in a matter of minutes.
It was not unusual in hosted Wordpress solutions to have to update their Wordpress instance or 3rd party plugins from time to time, even for those who just wanted to have a blog or to build an online presence by showcasing their CV.
It’s undeniable the spotlight that machine learning has been having in the past years, with major companies like Google taking advantage of it, or even claiming, that it is at the center of their products.
The amount of quality data gathered, as well as the domains it covers, will determine which companies of today will dominate the world in the next decade. This requires them to ship products with ML but also to provide tools for 3rd-party developers to adopt.
I’m fortunate enough to still keep in touch with friends from my bachelor’s degree every couple of days. We discuss software engineering the most, by sharing technical blog posts and news articles but also associated fields like politics, investments and company’s culture.
Last year on one autumn’s evening, one of my friends grabbed my attention by mentioning that he was writing a postmortem on his train back home because something had happened at work.
A few weeks ago I talked internally at Candyspace about how documentation is playing a big part in the Android team and how we evolved after introducing different kinds of documentation into our development process.
When introducing a new feature into the app, we usually create a separate git branch for the feature and proceed with its implementation. When the implementation is complete, a new pull request is opened against the main branch and a review is requested from at least on colleague before it gets merged.
“I don’t like to buy expensive stuff but I love options. I like to know I can buy a Maybach but I just decide I don’t want one. I like to know I can buy a Bentley if I want, I just don’t want one.” — Eric Thomas
2004 and I, as most of my colleagues, had finished my bachelor degree. As our home faculty focuses more on a practical side of studying, by structuring the programme in a way that in 3 years, any student would be ready to hit the market, we all joined companies as soon as we finished the degree.