Every few months, some tech CEO tweets about 10x engineers and the entire industry loses its mind. The replies split into two camps: wide-eyed founders asking how to hire one, and exhausted seniors explaining that the concept is statistical garbage. Neither side changes their mind. The thread goes viral. We do it again next quarter.
Let me save you some time: there is no peer-reviewed evidence that 10x engineers exist as a distinct, identifiable category of person. The original study everyone citesâSackman, Erikson, and Grant, 1968âmeasured variance in programmer productivity, not a bimodal distribution of normal engineers and superhuman ones. Some people were faster than others. That’s it. That’s the whole finding. We turned “sometimes people differ” into a recruiting philosophy.
The Origin Story Is Embarrassing
The 1968 Sackman study measured 27 programmers doing debugging and coding tasks. The best performed about 10x better than the worst on some metrics. But the study had methodological problems that would get it rejected from a undergraduate journal today: tiny sample size, artificial tasks, and no control for experience. Sackman himself warned against generalizing the results.
We ignored him. We’ve been ignoring him for 55 years.
The tech industry took “there’s variance in a small sample doing artificial tasks” and transmuted it into “there exists a rare breed of engineer worth ten normal ones, and you should restructure your entire organization to find and retain them.” This is not a scientific conclusion. This is a management wish dressed up in a lab coat.
Why Managers Need the Myth
The 10x narrative is a management convenience store. It sells everything a struggling CTO wants to buy:
It Justifies Hiring Freezes
Why hire five competent engineers when you could hire one 10x engineer? The math works out! Except it doesn’t, because that one person gets sick, gets bored, gets a better offer, or simply doesn’t know everything. But as a budget line item, “one expensive genius” looks cleaner than “a team of people who collaborate and cover each other’s gaps.”
It Explains Away Bad Culture
When your best people keep leaving, you can tell yourself they weren’t 10x material anyway. The real ones would thrive under any conditions! This is the engineering equivalent of the just-world fallacy: if someone burns out, they clearly weren’t built for greatness. No need to examine your 2 AM Slack culture or your meeting-heavy sprints. The problem is the people, not the system.
It Flatters Decision-Makers
Every manager wants to believe they have a special eye for talent. The 10x myth says: yes, you can spot greatness. You’re not just hiringâyou’re curating. That’s a much better story than “I hired someone with a good GitHub profile and they turned out fine, like most people do.”
Why Engineers Need the Myth
Here’s the uncomfortable part: engineers aren’t victims of this nonsense. We’re co-authors.
The 10x label is identity armor. It lets you believe your bad habits are actually efficiency. Don’t write tests? You’re moving fast. Refuse to document? You’re coding, not writing prose. Can’t onboard new team members because “they’ll slow me down”? That’s not a collaboration failureâthat’s protecting velocity.
I’ve worked with self-identified 10x engineers. Here’s what they actually were:
- Fast typists who produced code quickly and bugs at roughly the same rate
- Solo operators who hoarded knowledge and couldn’t be replaced without months of pain
- Domain experts who were fast because they’d been in the codebase for five yearsânot because of innate ability
- Career hoppers who burned bright for 18 months and left before the maintenance debt came due
None of these people were 10x. They were 1x people in environments that happened to reward their specific style of work. Put them in a different systemâone that required coordination, or long-term maintenance, or mentoringâand they looked painfully average. Sometimes below average.
The Actual Science Says Teams, Not Heroes
Research on software productivity consistently shows that team quality and process matter more than individual star power. Google’s Project Aristotle found that psychological safety and conversational turn-taking predicted team performance, not individual IQ or expertise. A 2013 study by Prechelt found that while individual performance varies, the gap shrinks dramatically when you control for task familiarity and tooling.
The variance Sackman measured? It collapses when you give people proper environments, clear requirements, and reasonable deadlines. The “10x gap” is mostly a measurement of how badly we set people up to fail.
But “invest in better processes and tooling” is a boring slide deck. “Find the chosen one” is a hero’s journey. We keep picking the story over the science.
What Productive Teams Actually Look Like
I’ve been doing this for twenty years. The best teams I’ve worked on had zero 10x engineers and plenty of 1x engineers who:
- Wrote things down so decisions didn’t live in one skull
- Reviewed each other’s code without ego, which caught bugs before they became outages
- Pair-programmed on hard problems because two brains beat one brain almost every time
- Left at a reasonable hour and still shipped excellent work because they weren’t running on caffeine and anxiety
These teams were consistently outperforming the “genius” teams. Not because they had better individuals, but because they had better systems. Engineering culture is a technical problem. The 10x myth is a bug in how we think about productivity.
The Real Cost of the Myth
Believing in 10x engineers doesn’t just waste hiring budget. It actively damages organizations:
It creates single points of failure. When one person is “the genius,” the bus factor drops to one. They go on vacation, everything stalls. They quit, everything collapses. This is not a strength dressed as a riskâit’s just a risk.
It discourages collaboration. If you believe productivity is an individual trait, you structure rewards around individual output. Code reviews become obstacles. Documentation becomes overhead. Mentorship becomes charity. Every hour spent helping someone else is an hour you’re not being 10x enough.
It drives out diversity. The 10x archetype is specific: young, male, obsessive, willing to sacrifice health and relationships for code. If that’s your hiring profile, you’re not selecting for abilityâyou’re selecting for a particular life situation that enables obsessive work. Surprise: that profile excludes a lot of excellent engineers who have kids, or boundaries, or different working styles.
So Why Does It Persist?
Because it’s a good story, and the tech industry runs on stories. The 10x engineer myth persists for the same reason most bad ideas persist: it serves someone’s interest. Managers get a simpler hiring problem. Engineers get an identity badge. Companies get an excuse for not investing in boring structural improvements.
The alternativeâadmitting that productivity is mostly about environment, process, and team dynamicsârequires admitting that your org’s problems might be your problems. That’s a lot less fun than waiting for a savior to walk through the door.
Stop waiting. Fix the system.
FAQ
Q: But I’ve definitely worked with someone way faster than everyone else. Isn’t that a 10x engineer?
A: No, that’s someone who’s fast. Variation exists. Some people type quicker, some people have more experience with a specific stack, some people just think in a way that fits a particular problem. That’s a 2x or 3x advantage on a good day, and it’s task-dependent. The 10x claim isn’t “some people are better”âit’s “some people are categorically different, and you should restructure your org around them.” That’s the part with zero evidence.
Q: What about open-source maintainers who do massive amounts of work alone?
A: Good example, actually. Look closely at those maintainers. They’re fast because they wrote the codebase, they have no onboarding overhead, and they make decisions unilaterally. That’s not 10x abilityâthat’s 10x context and 10x freedom from coordination costs. Put them in a different project and they’re mortal again. The speed comes from the situation, not the soul.
Q: Isn’t it better to hire one great engineer than ten mediocre ones?
A: This is a false choice. Nobody’s arguing for ten mediocre engineers. The real question is: do you hire one expensive person and bet everything on them, or do you hire a few good people and build a system that makes them effective together? One of those strategies has redundancy, knowledge sharing, and weekend coverage. The other has a single point of failure and a very impressive LinkedIn profile.
