Choose Boring Technology

Choose Boring Technology (2015)

Choose Boring Technology

In this classic essay, Dan McKinley argues that companies should spend their limited 'innovation tokens' wisely, favoring boring, well-understood technology over shiny new tools. Drawing on his experience at Etsy, he explains that boring tech has known failure modes, reducing unknown unknowns. He advocates for global optimization over local 'best tool for the job' choices, and offers a process for evaluating new technology that includes considering existing solutions and planning migrations. The goal is to keep operations manageable and allow engineers to focus on bigger problems.

The 'best' tool is the one that occupies the 'least worst' position for as many of your problems as possible.
  1. NickNaraghi

    > Let’s say every company gets about three innovation tokens. You can spend these however you want, but the supply is fixed for a long while.

    This is one of my favorite blog posts, and it can basically be encapsulated in the idea of "innovation tokens." It is one of the most useful concepts I have had as a PM / eng leader in my career. It helps actually make the the right tradeoffs, and helps even more in explaining those tradeoffs to colleague of all levels. Highly recommend.

  2. theptip

    I love this post. It’s also interesting to revisit in the age of agents.

    Using the language of the article, I’d say “push all your innovation tokens into agents” is probably a good move. This means the tech your agents work with should all be boring tech.

    Another way of saying this is “use in-distribution technology”. If agents are substantially better at Rust than Zig, probably you should use Rust, even if Zig is “better”. The amount that Zig is better is going to get swamped by the amount that in-distribution agents are better.

    (This is not a claim that Rust actually is better, just a hypothetical fact pattern for discussion.)

  3. insanitybit

    I'll push back against this, despite it being so popular. I dislike the arbitrary "innovation tokens" and I think this entire concept really blurs the lines and feels sort of unserious.

    Engineers should understand requirements, risks, tradeoffs, and potential gains. New technology may be right for that. Novel approaches may be right for that. "Novel" or "New" are only proxies and they're weak.

    For example, I may think "New" means untested, but is that true? What if a new project has Jepsen testing, a fuzzing suite, massive compute running tons of oracle tests, etc? I should just say "Choose well tested" instead of "Choose old" - lots of old software is very poorly tested.

    Maybe I think that "Old" implies better documentation, but does it? Lots of older projects have insane cruft and weird edge cases that are undocumented and accumulated over years.

    Why do we need a metaphor? Why is "innovation token" helpful?

    If you're incapable of evaluating a technology in terms of these properties, you aren't a serious developer and "boring" will not save you.

    Sit down, write our your requirements, determine candidate solutions, and choose them based on their fit. "Boring" means nothing, it's a vague proxy term. "Well tsted", "performant for our use case", "developers know it", etc mean something.

    > MySQL is boring. Postgres is boring. PHP is boring. Python is boring. Memcached is boring. Squid is boring. Cron is boring.

    Literally every one of these has caused hilarious and disastrous fail […]

  4. iand675

    Well, I've not tried to publish this on HN so far, but I guess given such a counterpoint, I should at least attempt to share: https://www.iankduncan.com/engineering/2026-08-07-getting-fr...

  5. jason_oster

    This advice holds up, but there are caveats to keep in mind. Two off the top of my head:

    1. I once worked for a company that had a large Cassandra cluster that was primarily serving the role of a distributed append-only log. This role is as perfect a fit for Cassandra as I can imagine. When we needed a distributed database for authentication, we decided to use Cassandra for it since we had in-house expertise (it was "boring technology") and a cluster we could piggy-back on for a while. When we needed a distributed database for a key-value service, we used the same reasoning and chose Cassandra again. There were many problems with Cassandra that I won't go into, but I will say that straying too far from Cassandra's comfort zone stretched it to a breaking point. And we had some downtime and rough nights because of it. Sometimes boring technology isn't enough, you also need boring workloads for it.

    2. I was an early adopter for Rust. Before 1.0, it wasn't clear to most people whether the language would mount to anything. To me, I saw a formal proof assistant being put into programmer's hands and could tell right away it had a bright future. Rust was not a boring technology back then. You might say it is now (for some use cases). Adopting shiny new technologies that measurably improve confidence is not a risk. What's foolish is getting comfortable and complacent with familiar, aka boring, technologies that are difficult to use correctly.

  6. cliche

    I wish there was a jobs board for companies that are somehow vetted for this type of engineering culture.

    So many jobs are sold as “we’re pragmatist's” and when you show up there’s 5 devs, 50 repos and most of the work is discussing if x requirement should be a new micro service. The product is usually an web app with 10 entities and and an API.

    Suppose it’s keeping people in jobs

  7. Animats

    Some of this may have been a reaction to the era of Javascript framework churn. There were way too many different technologies for doing roughly the same job.

    They all more or less worked.

    On the other hand, IBM was late getting into integrated circuits. They had Solid Logic Technology, automated machinery for putting transistors into ceramic substrates to make tiny but discrete circuits. That's what powered the IBM System/360. Worked, but kept mainframe prices high and made IBM late to minicomputers.

    Innovation when the problem is hard is more interesting. Look at the history of US long range bombers. The B-29 was effective, but underpowered, and had a lot of trouble getting off the ground fully loaded. So, after WWII, the next development was the B-36, which answered the question "what if we scaled up the B-29?"[1] Six propellers, and four jet engines (added late in the design cycle). Was a sky barge, but it worked, as long as no one was trying hard to shoot it down. No flyable aircraft remain. That was the boring technology approach.

    After that came the B-47, which answered the question "what if we scaled up a jet fighter to bomber size?"[2] The B-47 was all jets, no props. It needed solid-fuel rocket boosters (!) to help it get off the ground, and a drag chute to slow it down on landing. It was terrible to fly; its operating speed and altitude were too near the "coffin corner" where stall and Mach buffet meet.[3] No flyable aircraft remain.

    Then came the B-52. New engines […]

  8. conrs

    Love this post. Surprisingly controversial; it hasn't made me very many engineering friends.

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