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When faced with the decision if something is worth automating or not, the default reaction for most developers and product managers will be simple: estimating the time spent on a manual task, and comparing it with the time it would take to automate the task away. Whatever takes the least time wins. When building Offen, the decision of what to automate came up quite a few times as well, and I have realized that only looking at time spent might be a bit short-sighted.
There seems to be a trend among this current wave of privacy friendly analytics providers like Fathom, Simple Analytics, Goatcounter, Plausible and others (my project Offen is probably a fringe part of this wave as well to be transparent) and also affiliated websites to make the stats for their websites publicly accessible. It serves as a nice instant demo for the product, and it is supposed to show off their approach towards “privacy friendliness”. Offen does not have such an easily accessible demo. If you want to have a look at how it works, you will need to download the binaries and run a local version that is populated with random data. This might seem overly complicated, but there’s a good reason why it works that way. In the following, I will explain this to you from my perspective as a user of the internet.
With browser vendors adding more and more tracking protection with every release, a plethora of privacy enhancing browser extensions and AdTech companies getting better every day at fingerprinting and circumventing tracking restrictions (think using DNT headers in order to fingerprint and track users) it feels like the year 2019 is finding the internet in some sort of privacy arms race.
MongoDB comes with a backup tool called mongodump which is what you should be using when you have the resources to set up a dedicated backup job that is able to install / run the CLI tools that are needed.
Recently, we’ve been seeing some kind of a renaissance of Compile-to-JS languages. When Babel and ES6 made the first wave of languages like CoffeScript obsolete, the toolchain that evolved around Babel (and TypeScript) made transpiling your code mainstream and probably even the de-facto standard for writing largish applications that run in the browser.
The title says it all. Programming is a team effort. There is no winning, no hierarchy of performance, no #1 programmer: in the end you all commit to the same codebase, you build the same product.
Writing tests for your software is an established practice in most development environments nowadays. It also makes a lot of sense. Code that is subject to changes and changes will need some sort of plan for knowing it still does what is it actually expected to do. Tests do that for you.
GitHub Pages is GitHub’s free service for hosting static websites (like this blog) and assets. Its usage is extremly straight forward but requires little repetitive chunks of manual work each time you want to update something (unless you use their built-in jekyll tool). The number of smallish and static side projects I maintain recently reached critical mass, so I looked into using Circle CI for automating the deployment to GitHub pages.
api.ai lets you build conversational chatbots that interface easily with lots of existing messaging services. The promise is: “define your logic once (no coding!!!), reach users across many platforms”. Trouble is these bots are kind of oblivious. If you haven’t talked to them in the last 10 minutes, they will likely have forgotten about you and what the two of you have been talking about the last time.
I’ll start by assuming you are just like me. You’re a developer, you went to a few conferences and meetups. You enjoyed going there. You learned quite a lot of new things. You’ve seen lots of people who might be labeled a “rockstar” by others. Stupid term, I know, but well, we’re having quite the time right? Afterwards, let’s go crazy, let’s do aracde games, karaoke all of that. Dive bar? Sure thing, chicken wing. Oh, yes and we’re super inclusive, right, so everyone is welcome. Just come along and be a super awesome person with us. Amazing, isn’t it?
The Telegram messaging app has an extensive Bot API that is available to the public. I published a Node.js client library to npm. The library explicitly lacks a hook for setting up long polling as it is actually quite easy to build a simple express app that handles incoming messages for you.
Software development seems to be all about best practices today. For every task that needs to be done, there seems to be the one single way to do it. Depending on who you ask that is of course.
Backbone is a piece of software I love very much. Compared to other behemoth like frameworks I admire the fact that it encourages me to do things right while thinking about them myself. And if I need answers I can just read its source code and get the answers that I need. It basically taught me development that goes further than
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