In September 2013, my startup, Parse.ly, had just raised Series A capital, and had just begun growing its team rapidly, from a small group of fewer than 10 to over 40 employees now. In the past several years, I have run Parse.ly’s fully remote engineering, product & design team.
Back in 2013, we had achieved initial product/market fit, initial revenue, and had already established a kernel of a product and engineering culture. I knew the company would change, but I wasn’t sure exactly how. Meanwhile, I had just recently read “Reasons & Persons”, a book on ethics and identity by the philosopher Derek Parfit. Though his ideas focused primarily on individuals, they influenced the way I thought about my business, my team, and its evolution over time.
What follows are my speaker notes from a talk I gave to my team to discuss the issues of Ethics and Identity central to Parse.ly’s culture:
Origin of this talk
- Parse.ly turned 4 years old in May 2013
- I reflected after our Series A round
- I read a book about ethics/identity, Reasons & Persons
- Realized some interesting concepts apply to firms, too
Parse.ly, different takes
- “An analytics platform for large media companies?”
- “A startup founded originally in 2009 at Dreamit Ventures?”
- “A team of employees?”
- “A specific configuration of tech and code?”
What is Parse.ly, really?
- our history?
- our appearance to customers / press?
- our employees (or founders)?
- our technology / product?
- our shareholders? (huh?)
Ship of Theseus
What is the Ship of Theseus?
- They took away the old planks as they decayed
- … putting in new and stronger timber in their place
- One side held that the ship remained the same,
- … and the other contended that it was not the same.
Continue reading Parse.ly Culture: Ethics & Identity
Michael O. Church wrote an essay awhile back called “Why programmers can’t make any money.” The post is no longer on his website — for some strange reason — but you can have a look at the archived version here.
If you don’t wish to read his post, this quote will give you the summary.
When the market favors it, junior engineers can be well-paid. But the artificial scarcities of closed allocation and employer hypocrisy force us into unreasonable specialization and division, making it difficult for senior engineers to advance. Engineers who add 10 times as much business value as their juniors are lucky to earn 25 percent more; they, as The Business argues, should consider themselves fortunate…!
I empathize with his thoughts, but I have struggled — for years, now — to understand the author’s conclusion.
If we want to fix this, we need to step up and manage our own affairs. We need to call “bullshit” on the hypocrisy of The Business, which demands specialization in hiring but refuses to respect it internally. We need to inflict […] artificial scarcity.
I decided to (finally) publish this response today because I have seen artificial scarcity play out in another industry; my wife is a medical doctor in the US. Are we to believe that programmers should establish artificial scarcity in the same way that doctors have — with political organizations like the American Medical Association and credentialing via something equivalent to medical school and board certification?
Continue reading The value of money in a technology career
Apple just announced that the headphone jack is going the way of the dodo, but as programmers, we know better. The headphone jack is our reprieve from cantankerous office banter, our salvation from your office mate’s obsession with cat videos, and our gateway to productive coding flow.
For those of us who still believe in the simplicity and beauty of the good old auxilliary audio input, here are three headphone options that I’ve field tested extensively and can vouch for quality and convenience.
Continue reading The 3 best headphone options for programmers
Chomsky — the same one behind “Manufacturing Consent”, an excellent analysis of newspaper and TV journalism in the pre-Internet era — walks us through a structural analysis of modern media here:
There is a concept of “objectivity” to which journalists are supposed to adhere: report honestly what is “within the Beltway” — that is, what is considered acceptable by major power centers, state and private. Departing from that framework is “biased.” There are to be sure exceptions, but there extensive documentation showing that this framework is upheld with quite impressive consistency. It can be changed in so many ways.
He suggests one way to get out of this structural “objectivity bias” — something that Jay Rosen refers to as “the view from nowhere” — is to change its underlying incentive scheme.
Continue reading Chomsky on the media and “objectivity”
Can pair programming be done in a way that is compatible with async communication?
Pair programming is described by the original c2 wiki as a process in which “two engineers participate in one development effort at one workstation”. It would seem the process is inherently synchronous, at least as originally described and practiced.
I experimented with pair programming at my first industrial programming job at Morgan Stanley. It was 2006-2008 and two fads were happening in parallel: “agile” software management techniques and “extreme programming”, with a particular emphasis on test-driven development with Java.
I occasionally found pair programming to be effective, but noticed my results varied wildly depending on the engineer I paired with and the problem we worked on. Some people really enjoyed the “brain swarming” of having two heads attack a problem. Other people found it cumbersome and interruptive. Some problems seemed so indivisible that it always ended up that one person drove, and the other person merely watched. In the end, I couldn’t really say whether I benefited from it, despite many hours of experimentation.
Continue reading An async kind of pair programming
Data engineers should abstract their code in the most lightweight way possible to facilitate downstream integration in a large-scale data system.
You want lego blocks, not puzzle pieces.
The creators of the C programming language once famously said, “first make it work, then make it right, and, finally, make it fast.” This adage still applies today.
The difference is, we have tools to take working code and validate that it is right against reams of data. Many of these tools can also be used to make the working, right code run really fast across a cluster of machines, possibly even in real-time, as the data comes in.
But, making code work, then right, then fast, requires some discipline.
Continue reading Simple Lego Blocks for Big Data
Let’s say you’ve just joined my team and want to become an idiomatic Python programmer. Where do you begin?
Well, you can move up the learning curve quickly using resources from this blog:
I also have some good resources on web development with Python:
And on more advanced Python concepts, like dunders and functional programming:
Continue reading Idiomatic Python Resources
I read the Bloomberg piece, What Is Code?, an explanation of code artistry and programmer/hacker culture in 2015. I love this paragraph about “languages as liquid infrastructure”:
The point is that things are fluid in the world of programming, fluid in a way that other industries don’t seem to be. Languages are liquid infrastructure. You download a few programs and, whoa, suddenly you have a working Clojure environment. Which is actually the Java Runtime Environment. You grab an old PC that’s outlived its usefulness, put Linux on it, and suddenly you have a powerful Web server. Now you can participate in whole new cultures. There are meetups, gatherings, conferences, blogs, and people chatting on Twitter. And you are welcomed. They are glad for the new blood.
Java was supposed to supplant C and run on smart jewelry. Now it runs application servers, hosts Lisplike languages, and is the core language of the Android operating system. It runs on billions of things. It won. C and C++, which it was designed to supplant, also won. A lot of things keep winning because computers keep getting more plentiful. It’s weird.
Worse is better, is worse, is better, is worse, is better…
Python is the core programming language used at Parse.ly. It also happens to be a quickly-growing language with wide adoption among open source projects. It’s no wonder it’s quickly becoming the leading language for software teams.
I’ve written a couple of blog posts with original material for learning Python, including “import this: learning the Zen of Python with code and slides” and “Build a web app fast”.
Newcomers to Python are often overwhelmed by the wealth of information, available online and in print, for the language. I am often asked by others, “What are the best books for my Python team?” I plan to answer that question with this post, by highlighting what I consider to be the three best Python books on the market today.
Continue reading The 3 Best Python Books for Your Team
I realize now that one of the hardest parts of running a successful startup is “betting” on tech stacks that, 3 years out, will have a groundswell of community support around them.
It’s still shocking to me that when I chose each of the following technologies as a central part of Parse.ly, they were so new/immature as to not even show up on a Google search trends box, but are now very popular technologies.
Continue reading Picking tech stacks