Gergely Orosz Profile picture
Oct 9, 2021 12 tweets 3 min read Read on X
There’s a debate on whether 10x software engineers exist.

They do: I’ve seen several of them.

And their existence freaks the hell out of me. 5 examples of 10x engineers and why you should be afraid when you see one:
1. The Move-Fast-And-Leave-Behind. A dev with a hacks mindset at a scaleup. They get shit done 10x faster than the engineers who that take this (literally) shit over when it needs to scale, try to reverse engineer it, but ultimately have to toss and rewrite the whole thing.
2. The That’s Trivial To Finish. Someone w many product-minded traits blog.pragmaticengineer.com/the-product-mi… amazing at prototyping and telling the non-technical manager they’ve done 90% of the work, and the other devs should have no problem finishing the last 10%. Which then takes 10x as long.
3. The Only Non Quitter. A company a terrible eng culture and just as bad codebase which oversells itself. Devs quit all the time and the new joiners struggle with everything. Save for TONQ who gets stuff done. Obviously the most tenured dev, and the only one lasting >2 years.
4. The Debugging Machine. A place with a codebase w no tests or documentation. New joiners tend to break everything and TDM needs to be called in to save the day. An engineer who has been around for years, though refuses to ever document/share any of their well-earned knowledge.
5. The Story Point Hoarder. A company where productivity == story points shipped. A tenured engineer who figured out how to make sure every second sprint they claim 5-10x as many story points as most other team members through cherry-picking work, optimising for these points.
So yes, 10x engineers do exist. They live in a mostly unhealthy engineering environments allowing for 10x behaviours.

If the above examples proved anything it’s how we should not ask: “how can we have more 10x devs?”, but answer “why are most our devs at 0.1x productivity?”
10x devs share the trait of being tenured at a company, and being perceived 10x as efficient as most new joiners.

Which begs the questions:
1. Why does an engineer need years of work at the company to get productive?
2. Is perception == reality?

Those are the 10x questions.
2 more archetypes:
6. The Reinvent The Wheel Dev. One of the first engineers at a startup who decides to reinvent the wheel. Writes a custom SPA framework, with layer, MVC abstraction. Then gets everything done 10x faster than new hires (who they label as “not smart enough”)
7. The Stupidly Hard Worker. Typically someone who is also #1 or #6 at some level. They work 12+ hour days, also through most weekends. Management loves them as they’re clearly devoted to the company, and ignores any complaints because this hard work & perceived 10x output.
Finally, my observation on what a highly productive engineer can look like (who I would not call 10x):

blog.pragmaticengineer.com/the-cheetah-so…
The subtle hints of what “scares” me is a bit too subtle so let me put it clearly:

It’s not the stereotyped people. They’re all hard workers and get positive feedback.

The scary thing is the environment they operate in, where leadership doesn’t even know/realize the problems.

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More from @GergelyOrosz

Jul 27
Amusing use of LLMs at a more traditional company:

“A project with ~50 people got stuck. There are too many JIRA tickets, no clear specification, and anytime one team tries to make progress, the others shoot it down.

So a dev built an LLM to try and break the deadlock: (cont’d)
- Fed all JIRA tickets to the LLM. Built a basic RAG with vector DB

- Had it generate questions about the project, about topics not covered by the tickets

- Had the LLM attempt to answer the same questions

- Generated a report of what areas are not specified

- Tried to use this to stop teams rejecting suggestions “because this is not well specified”
A PM at this company told me this story. Asked him if this LLM helped break the deadlock? His response:

“No. We’re still stuck. But it was good fun to build it and an excuse to play around with vector databases!”

Ha.
Read 5 tweets
Jul 13
Regarding the Windsurf sale (part of the team acquihired by Google, prob a great exit, but not all the team):

I feel we’re forgetting well-funded startups today are NOT scrappy startups in the past where employees work for pennies, paid well under market.

Its a different game
What is true, and always has been true: founders and decision makers always have the biggest potential upside - for anything! Including negotiating and acquisition.

This is why so many accomplished employees eventually become founders - because its hoe you have more control of your destiny
It still stings to have some people get much better outcomes during an acquisition.

It’s a reminder that as an employee, you really don’t have leverage beyond hoping founders look out for you… sometimes they do, sometimes they don’t
Read 7 tweets
Jul 9
There was this engineer on my team a while back who was: a good dev, but not the best dev. Got everything done. But had zero ego, a very nice personality, and got along with *everyone* on the team very well.

When he joined, the team became... better. Nicer. More balanced.
I just got a reference check about this dev, asking the usual questions ("what is an example where they delivered over and beyond," "how did they execute", "what are growth areas" etc)

He did fine on all of them, but I still think how much better he made my team. With stuff that's hard/impossible to measure!
Makes me realize how hiring is not focused on this stuff: "how would this person make the team better."

I guess, it is hard to be focused on this.

But this was one of the *very* rare devs who made every team much better. Nicer. More motivated. More a "team."

Still think of it
Read 7 tweets
Jun 30
So predictable that we’ll see an explosion of digital products selling “ideas for million dollar businesses” that you can “just vibe code quickly”.

Basically: “buy my digital product for $500, spend $1,500 on Lovable / Claude Code and become a millionaire.”

Another hype train
Ofc these products promoted by influencers will work just as well as crypto sh*tcoins launched by influencers in 2023.

We’ll see doctored evidence (“someone who built one of ideas idea is at $5K MRR after 2 weeks”) and nontechnical people will spend thousands for $0 in return
The predictable winners: AI infra companies! Lovable, Vercel (with v0), Claude Code, Cursor, Replit, Gemini and any and all products that (at least partially) position themselves as “AI tools to build your idea that work even if you’re not a developer”

And it’s stated. A gold rush where - and the surest winners are those selling the shovels!
Read 6 tweets
Jun 28
I generally like Anthropic: but the more they paint a dystopian future where AI “manages” people (“AI middle-managers”) the more I am starting to think they are losing their marbles.

LLMs is a tool humans should use. The tail should not wag the dog; Anthropic should know better
And frankly I’m getting tired of Anthropic being loud about how their AI will lead to mass unemployment, and while claiming to be a responsible lab to develop AI.

If your master plan is to wipe out the labor market for profit: you’re not responsible.

You cannot have both.
I DO feel recently that Anthropic is the single least responsible lab out there.

Thanks to their CEO parroting how their AI will lead to massive job losses: not being concerned the least, and seemingly *wanting* this outcome (even if it’s not realistic).

aimagazine.com/articles/white…Image
Read 7 tweets
May 28
Something I hear very little talk about:

How AI coding tools are so much LESS useful when used on existing, large codebases at work (with custom frameworks, conventions, coding style etc)

... compared to doing greenfield work or side projects

So common for me to hear: "yeah I love it on my side projects, but at work it's 'meh'"
I'm getting details talking with devs at the likes of eg Google, Meta, Microsoft: the companies building some of the best AI coding tools out there!

And yet, for their existing codebases, the usefulness is marginal. Mostly for autocomplete (that has a higher miss rate than for greenfield)
And yes, surely there are workarounds. I just don't hear much of these used or successfully used!

Point is almost all success stories I hear are greenfield ones or small projects, or ones started with these tools

Using on larger one a bigger challenge

Read 5 tweets

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