Mount Rainier from Mailbox Peak, WA


Programming, tools and process are stuck in the past, held in place by hoards of OO-wielding proletariats collectively chanting “good enough”.

Let’s find a better way.

We are inundated with programming posts of varying quality. This is a curated list of only the best or most important I’ve come across.


  • Isaac Asimov Asks, “How Do People Get New Ideas?” — An insightful essay on the fragile process of creativity by the brilliant science fiction writer.

  • Complexity and Learning (2011) — The view on learning and applying knowledge described here is one I’ve long held and argued for. This post uses an intuitive anaology of runtime complexity to describe learning a concept and the cost of applying it over time.

Functional Programming

  • Learn You a Haskell for Great Good! by Miran Lipovača — Have you read a million monad tutorials and still don’t get it? This was the case for me and learning Haskell is what made it finally click. As a bonus, this book is also hilarious and brilliantly written and illustrated; one of my all time favorites.

  • Category Theory for Programmers — I’ll be working through this for quite a long time, but it’s mind blowing and very challenging so far.

  • Functional Programming in Scala by Paul Chiusano and Rúnar Bjarnason — Many of my topics and ideas came from this book.

  • Learning Scalaz — This series of blog posts loosely follows LYAH and introduces Scalaz’ equivalents to many of Haskell’s classes.

Distributed Systems

  • Raft: Understandable Distributed Consensus - amazing and inspiring data visualization of the Raft consensus algorithm. Even if you’re not interested in Raft itself, go through this because it demonstrates so well the power of visualization in understanding complex interactions. (How can we get this level of quality in our own systems’ documentation?)


  • Linguistics, Style and Writing in the 21st Century - with Steven Pinker (YouTube) — A wonderful and highly entertaining talk about writing. We should pursue excellence in this area as knowledge workers since writing is a core part of what we do.

    Some gems:

    Writing is an act of pretense.

    Writing is an act of craftsmanship.

    Writing is an unnatural act

    Prose as a window onto the world

    • The writer has seen something in the world
    • He positions the reader so she can see it with her own eyes

    The reader and writer are equals

    The goal is to help the reader see objective reality

    Beautiful idea that the reader and writer are equals. Do not write in a way that is above critics or attempts to cover all bases, to be impenetrable.

    Show examples, often! Focus on the subject! Not meta concerns such as the studying of the thing, the process, etc.

    Minimize the kind of apologizing that academics in particular feel compelled to do.

    Classic prose gives the reader credit for knowing that many concepts are hard to define, many controversies hard to resolve. The reader is there to see what the writer will do about it.

    Minimize hedging

    Classic prose: Better to be clear & possibly wrong than muddy and “not even wrong.”

    Count on the cooperative nature of ordinary conversation

    Use the active voice. The active voice is usually more direct and vigorous than the passive.

    Interesting idea: a sentence is a linear string of words but it’s describing a non-linear graph of knowledge. It presents some bits of information to the reader before others, affecting the way the information is absorbed. The passive voice allows writers to vary the order in which ideas are presented and absorbed.

    Good writer narrate a story, advanced by protagonists who make things happen.

    Bad writer work backwards from their own knowledge, writing down iades in the order in which they occur to them.

    They begin with the outcome of an event, and then throw in the cause as an afterthought.

    The passive makes that easy.


    The curse of knowledge

    When you know something, it’s hard to imagine what it is like for someone else not to know it. aka mindblindness, egocentrism, hindsight bias

    aka Monads 😂

    Something to consider for technical writers!

    Such density of good advice in this talk. But if you’d rather not watch an hour-long video, start with Steven’s short Twitter thread on the same topic.