Some characteristics of the best developers I worked with


I had a conversation last November on the PyConEs, when I was on a conversation stating that I am working with truly brilliant people in DemonWare, and then someone asked me: “Do you have problems agreeing in  what to do? Normally great developers have problems reaching consensus on tech discussions”. My answer something like: “Well, in my experience, truly awesome developers know when to have a strong argument and they usually are ok reaching an agreement in a reasonable time”.

So, I wanted to, as sort of follow-up, summarise what are the characteristics that I’ve seen in the best developers I’ve been lucky to work with. This is not a list I am making on “what’s my ideal developer”, but more a reflexion on the common traits I’ve seen on my experience…

    • Awesome developers are obviously smart, but that’s not typically shown as bursts of brilliance, solving really difficult issues with “aha!” moments. In my experience, genius ideas are rarely required nor expressed (though they surely happen once in a blue moon). Instead, great developers are consistently smart. They present solutions to problems that are reasonable all the time. They find and fix typical bugs with ease. They struggle with very difficult problems, but are able to deal with them. They are able to quickly present something that will make you say “Actually that’s a nice point. Why didn’t I think about this?”. They do not typically present something ingenious and never heard of, but deliver perfectly fine working ideas over and over, one day after another.  Their code is not full of mind blowing concepts, but it is logical, clean and easy to follow most the time (and when’s not, there is a good reason). They are able to remove complexity and simplify stuff, to a degree that it almost look easy (but it’s not)
Normally brilliant people on real life do not come with crazy great ideas out of nowhere

Brilliant people on real life do not come with insanely great ideas out of nowhere

  • They keep a lot of relevant information on their minds. They are able to relate something that is in discussion with something that happened three months ago. They seem to have the extraordinary ability of getting out of the hat some weird knowledge that is applicable to the current problem.
  • While they have a passion for coding, it is not the only thing in their lives. They have hobbies and interests, and they don’t usually go home in the weekends to keep working on open source all day, though they may occasionally do.
  • They love to do things “the right way”, but even more than that, they love to make things work. This means that they will use tools they consider inferior to achieve something if it’s the best/most convenient way. They’ll complain and will try to change it, but deliver will be more important that being right. They have strong opinions about what language/framework/way of doing stuff is best, being that Python, Ruby, Haskell, PostgreSQL, Riak or COBOL, but that won’t stop them knowing when it’s important to just stop arguing and do it.
  • They are humble. They are confident most of the times, but far from arrogant. My impression is that they don’t think that they are as awesome as they truly are. They will want to learn from everyone else, and ask when they have questions. They will also catch new ideas very fast. They are also friendly and nice.
  • Communication is among their best skills. They are very good communications, especially, but not limited, about tech issues. They may be a little social awkward sometimes (though this is not as common as stereotypes portrait), but when they have the motivation to express some idea, they’ll do it very clearly.
  • In some of the truly remarkable cases, they’ll be able to fulfil different roles, when needed. I mean different roles in the most broad sense, basically being able to be what’s needed for that particular moment. Sometimes they’ll have to be leaders, sometimes they’ll be ok being led. They’ll know when a joke is the proper thing to do and when to remain formal. They’ll be the person that helps you with a difficult technical question, or the one that will tell you “you’re tired, just go home and tomorrow it will be another day”
  • And they’ll have a great sense of humour. I know that almost everyone thinks that they have a good sense of humour. That’s not totally true.

Again, this is sort of a personal collection of traits based in my experience and on what I consider the best developers I’ve been honoured to work with. Any ideas?

Magical thinking in Software Development


I guess we all Python developers heard this kind of argument from time to time:

Python is slower than C++/Java/C# because is not compiled.

Other than the usual “blame the others” when working with other companies (usually big corporations than thinks than using anything except C# or Java is laughable), you can also see a lot of comments in technical blogs or places like Hacker News or Reddit with similar, simplistic arguments. You can recognise them on the usual rants about how technology X is The Worst Thing That Ever Happened™ and Should Never Be Used™

That’s a form of Software Development Magical Thinking. This can be really harmful for software development, specially when the opposite, positive form is used. Let me define Software Development Magical Thinking in this context:

Software Development Magical Thinking noun Assuming that a technology will magically avoid a complex problem just by itself.

Probably that will become clearer after a couple of examples:

Java is a static type language and it is safer than dynamic type languages like Ruby.

We program in C++ so our code is very fast.

MongoDB / NodeJS / Riak is web-scale.

Please note that those are not completely, utterly wrong statements. C++ can be very fast. Static typed languages can avoid some bugs related with input parameters type. But there is no guarantee that creating a system in C++ is going to act like a magic wand against slow code. Or that Erlang will avoid having a single point of failure. And you’ll get as sick of bugs and security issues both on static type language and dynamic type languages. *

Those are all complex problems that need careful design and possibly measurements to deal with them. Deep analysis of the problem, which usually is more complicated that looks on the first place. Or even worst, the problem is not as bad as it looked and the designed system is more complex that it should, trying to catch a problem that never arises. Not to exclude having previous experience to avoid subtle errors.

Let me say it again. There are problems that are HARD. In software systems they are confronted almost daily. And no single thing will make you forget them. Even if you use a very good tool for what you’re doing (like Erlang for concurrency), which usually implies paying a price (in development time, etc), doesn’t replace vigilance and issues could eventually appear. Unfortunately, making software is tough.

The problem with Software Development Magical Thinking is that it is very easy and it is also very natural. Seductive. We know that “general Magical Thinking”, simple solutions to very complex problems, is quite common. Hey, a lot of times, it even seems to work, because the Feared Problem will only present after certain size that is never attained, or after the designer leave the company and left a latent problem behind. Most of the time, making a totally informed decision is unrealistic, or simply not possible, and some risks must be taken.

But as software developers we should know that things are not that easy, even if we have to compromise. Each bug that takes time methodically eliminating causes. Every measurement that makes you wonder what is the best metric to reflect a value. Every time you realise that there was a back-of-the-envelope calculation that shows something that will have an impact on some design aspects. Those are all reminders that should makes us think that there are no silver bullets and we shouldn’t take lightly all those difficult problems.

Make decisions. Design systems. Choose a tool over others. Take risks. But don’t be delusional and careless. Be conscious that software can bite you back. Be vigilant. Be skeptic. Avoid Magical Thinking.

PD: And please, don’t say “Python is slow”. Just don’t. It is not for most of the jobs. It is not going to make you win a discussion unless you carefully measure and proof it. And, perhaps most importantly, raises my urge to kill.

* No, I am not going to comment anything the Mythical Web Scale property.

EDIT: Wow, it has been submitted to Hacker News here. Just in case any one whats to add to the discussion there.