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

Jan 24
The more I use GenAI coding tools, the more I am convinced keeping to "traditional" software engineering practices is what works most productive here. As in 10x more productive. E.g.

- Small changes
- Test that the change works before moving on
- (unit) tests wherever you can
Amusing how error-prone all of these models are

I catch how often it generates buggy code thanks to testing and adding unit tests (I have it usually generate tests and then I tweak for my test cases)

Don't know how people are productive who let it run loose tbh
All those non-devs parroting how GenAI is the end of software development don't do actual development. And esp not wit these tools.

I am pretty confident Meta will have no "AI engineer that will start contributing increasing amounts of code" beyond being a companion like today
Read 8 tweets
Jan 24
One interesting I’m seeing with GenAI coding tools:

The MASSIVELY help technical founders at small and mid-sized startups prototype, challenge dev team, and ship products faster.

A recent example I’ve seen (cont’d):
Founder: “here’s a product idea we should do.”

Dev team: “Ok. We’ll build a prototype. It will be ~2 weeks.” 1 month later there’s a prototype. Another 2 months to ship to customers.

Now: founder builds prototype in ~4 hours, shows to dev team. Team builds a more prod ready one in a week and ships to customers!
I have only seen this work with *technical* founders. Ones who used to live and breathe code and built the first version of product themselves. But as team grew to 10-50+ ppl this was no longer an option.

GenAI is revitalising them - and the product iteration shows it!!
Read 5 tweets
Jan 20
YouTube helpfully shows what other videos people watch who stop by at The Pragmatic Engineer Podcast YouTube channel

This is either a bug, or @ThePrimeagen managed to hack YouTube (not implausible) or he went back in time to upload a video in 1970

Or.... OH WAIT I KNOW Image
If you know why this says 55 years ago don't say a thing!!

(if you know you know)
Can't believe no one bothered to fix this at YouTube

(I refuse to believe no one noticed it FWIW)
Read 6 tweets
Jan 15
Interesting:

Meta created React Native. It’s used (with components at least) in their flagship apps: Facebook (iOS, Android), Instagram (Meta Quest), Messenger (desktop).

Google created Flutter. And yet none of their flagship apps use it (Gmail, YouTube, Maps, Calendar).
The only flagship Meta app not using React Native is WhatsApp.

Google does build a lot of smaller apps with Flutter.

Just odd that Flutter can be used as modules (for a few screens) but Google, for some reason, doesn’t do with major apps.

Food for thought.
Flutter powers more apps than React Native: but more iOS apps are RN than Flutter.

Large-scale case studies published are mostly RN. Flutter case studies are usually smaller apps.

More details on each technology, and other Flutter and RN alternatives:

newsletter.pragmaticengineer.com/p/cross-platfo…
Read 9 tweets
Jan 14
Record revenue (on track for $156B), record profits (on track for $55B), fresh enough memories from firing 25% of staff... and Meta is at it, again.

Ruthless business rationale, as the goal is not cost savings, but firing the old, hiring the new.

Good luck to everyone at Meta. Image
Source:

Hard to believe that ~2 years ago, Meta had not done any mass layoffs throughout its entire history (2004-2022)

Now it looks to become an annual tradition. What a change.bloomberg.com/news/articles/…
To be fair, Meta is doing what Amazon has always done. The target for Amazon is 6%, and it's an open secret.

The new Meta culture in this sense could well become what the existing Amazon one is like.

From @Pragmatic_Eng at newsletter.pragmaticengineer.com/p/amazonImage
Read 7 tweets
Jan 13
This release is a big deal because:

1. It's the second major agentic coding workflow released with public access. (First one was Devin)

2. Pricing. Unlike Devin that charges $500/month right now. Copilot Workspace Preview is free.

3. GH integration. A big sell+onboarding win!
This is how Copilot Workspace works. Covered 8 months ago in @Pragmatic_Eng at

I personally think it's a clever workflow that aims to make devs more productive (and not replace them, like tools like Devin advertise themselves to the business) newsletter.pragmaticengineer.com/p/the-pulse-92Image
My first impression is that this workflow is pretty good. It hallucinates / doesn't do what it needs to do, but I can correct it early enough.

For experienced enough devs who know what they are doing: this workflow could work pretty well: better than the "give a prompt and the AI does the magic" stuff
Read 6 tweets

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