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Gergely Orosz

Gergely Orosz

@gergely-orosz · 98 positions · 1 change of mind · On ppll ↗

Writes The Pragmatic Engineer, the software-engineering newsletter, and wrote The Software Engineer's Guidebook. Formerly an engineering manager at Uber, and at Microsoft/Skype and Skyscanner before that.

Gergely Orosz did not write this page.

We collected these quotes from things they published elsewhere, and every quote links to where it was said. They have no account here and have not endorsed this site. Quotes are word for word; the short line under each one is our own restatement, not their wording. Their own site. Is this you? Claim it or ask us to remove it. Or tell us what is wrong here.

The ideas Gergely Orosz's claims keep coming back to. The labels are ours; every quote is Gergely Orosz's own words.

Writing code by hand is over: engineers, founders and companies are expected to build with AI

Our label. 5 claims in Gergely Orosz's own words.

People who do not want to use AI will not be hired at 99.9% of startups, Big Tech, and ambitious companies.

  1. Gergely Orosz Writes The Pragmatic Engineer Whoever doesn’t want to use AI, no problem: but you won’t be hired at 99.9% of startups+Big Tech+ambitious companies, even today @GergelyOrosz on Xx.com · 9 Oct 2026
    Whoever doesn’t want to use AI, no problem: but you won’t be hired at 99.9% of startups+Big Tech+ambitious companies, even today

Software engineers who master AI will generally fare better than those who do not.

  1. Gergely Orosz Writes The Pragmatic Engineer And that AI is just another tech wave: software engineers who pick it up and master it will generally fare better; those not will struggle a lot more. @GergelyOrosz on Xx.com · 23 Oct 2026
    And that AI is just another tech wave: software engineers who pick it up and master it will generally fare better; those not will struggle a lot more.

AI-generated code is overwhelming the processes around it: review, CI, testing and deploys

Our label. 8 claims in Gergely Orosz's own words.

Almost every company now reports that engineering processes which worked fine for years have suddenly become outdated.

  1. Gergely Orosz Writes The Pragmatic Engineer Almost every company we talk with currently says that processes which worked fine for years are suddenly pretty outdated. How software engineering is changing: an essay challengeblog.pragmaticengineer.com · 1 Sept 2026
    Almost every company we talk with currently says that processes which worked fine for years are suddenly pretty outdated.

Code reviews are starting to fade in many places

  1. David Heinemeier Hansson Creator of Ruby on Rails, CTO of 37signals there's no future where you're manually reviewing every line of agent code @dhh on Xx.com · 28 Sept 2026
    there's no future where you're manually reviewing every line of agent code
  2. Gergely Orosz Writes The Pragmatic Engineer One very interesting thing about code reviews starting to fade in many places @GergelyOrosz on Xx.com · 8 Sept 2026
    One very interesting thing about code reviews starting to fade in many places

A massive interest in automated testing and verification is following the recent 10x speedup in building software.

  1. Gergely Orosz Writes The Pragmatic Engineer Today, building software sped up 10x, easily: and a similar massive interest in automated testing + verification is following... @GergelyOrosz on Xx.com · 30 Sept 2026
    Today, building software sped up 10x, easily: and a similar massive interest in automated testing + verification is following...

The cost of introducing and paying off tech debt has changed significantly

  1. Gergely Orosz Writes The Pragmatic Engineer The cost of introducing and paying off tech debt has changed very, very much and I don't even know most of us have the time and space to think about what it means @GergelyOrosz on Xx.com · 4 Oct 2026
    The cost of introducing and paying off tech debt has changed very, very much and I don't even know most of us have the time and space to think about what it means

Writing is thinking, so prose handed to an AI loses the thought and adds to the noise

Our label. 5 claims in Gergely Orosz's own words.

Writing is thinking, so an LLM inflating a one-sentence observation into three paragraphs destroys the thing that made it worth reading.

Less, but better

  1. Gergely Orosz Writes The Pragmatic Engineer Writing is thinking, and we are interested in your own thoughts and observations, not a sharp, one-sentence observation turned into three paragraphs of blob text by an LLM. How software engineering is changing: an essay challengeblog.pragmaticengineer.com · 1 Sept 2026
    Writing is thinking, and we are interested in your own thoughts and observations, not a sharp, one-sentence observation turned into three paragraphs of blob text by an LLM.

AI-written prose is an inferior read because a model emits a statistical average -- code's audience is a machine, writing's audience is people.

  1. Gergely Orosz Writes The Pragmatic Engineer The reason for this hardline stance is that we believe in the value of human thought and experience, as told by people with first-hand knowledge. It’s also about the audience: The “audience” for AI-written code is usually a machine, whereas the writing in Pragmatic Engineer is for humans, by humans. AI produces a statistical average in its output which creates uniform, dull text that’s an inferior reading experience to human writing – at least today it is. How software engineering is changing: an essay challengeblog.pragmaticengineer.com · 1 Sept 2026
    The reason for this hardline stance is that we believe in the value of human thought and experience, as told by people with first-hand knowledge. It’s also about the audience: The “audience” for AI-written code is usually a machine, whereas the writing in Pragmatic Engineer is for humans, by humans. AI produces a statistical average in its output which creates uniform, dull text that’s an inferior reading experience to human writing – at least today it is.

Mass AI-written outreach fails on its own terms: playing the same numbers game as everyone else adds to the noise you then drown in.

  1. Gergely Orosz Writes The Pragmatic Engineer Don't expect a response to an AI-written email, or a templated email. I get it, you think it's a numbers game: send a tweaked email out to 100 podcasts, and hope that at least one replies. In reality, by playing the same game as everyone else does, you are assisting to the noise, and end up drowning yourself in it as well. Why you're not getting a response to your podcast pitch from me (or others)blog.pragmaticengineer.com · 27 Aug 2026
    Don't expect a response to an AI-written email, or a templated email. I get it, you think it's a numbers game: send a tweaked email out to 100 podcasts, and hope that at least one replies. In reality, by playing the same game as everyone else does, you are assisting to the noise, and end up drowning yourself in it as well.

Remote interviews have lost their signal, so references, referrals and in-person rounds matter again

Our label. 7 claims in Gergely Orosz's own words.

Warm referrals have, by what he hears, become more important in tech hiring; it is how AI labs hire a lot.

  1. Gergely Orosz Writes The Pragmatic Engineer a) referrals became more important tho. Warm ones; “worked with this person and they’re gold” type of ones. It’s how eg AI labs hire a lot @GergelyOrosz on Xx.com · 9 Oct 2026
    a) referrals became more important tho. Warm ones; “worked with this person and they’re gold” type of ones. It’s how eg AI labs hire a lot

Databricks regularly passes on people who ace the interview when their references are not a slam dunk.

  1. Gergely Orosz Writes The Pragmatic Engineer AFAIK they regularly pass on ppl acing the interview but where references (ppl they worked with) are not a slam dunk convincing @GergelyOrosz on Xx.com · 10 Oct 2026
    AFAIK they regularly pass on ppl acing the interview but where references (ppl they worked with) are not a slam dunk convincing

DSA interviews exist because they scale, not because they predict the job, and they are slowly fading

Our label. 7 claims in Gergely Orosz's own words.

DSA interviews were created because they scale to thousands of relatively untrained interviewers with hundreds of questions, where it does not matter if some leak.

  1. Gergely Orosz Writes The Pragmatic Engineer It was created because it’s easy to scale to thousands of relatively untrained interviewers with hundreds of questions where it doesn’t matter if some leak @GergelyOrosz on Xx.com · 11 Oct 2026
    It was created because it’s easy to scale to thousands of relatively untrained interviewers with hundreds of questions where it doesn’t matter if some leak

DSA interviews add job mobility rather than friction: nearly every major startup and Big Tech company uses them, so learning them once pays off for years.

  1. Gergely Orosz Writes The Pragmatic Engineer If anything it adds mobility because every major startup + Big Tech does it do learn once and for all~10 years you benefitted @GergelyOrosz on Xx.com · 11 Oct 2026
    If anything it adds mobility because every major startup + Big Tech does it do learn once and for all~10 years you benefitted

Data-structures-and-algorithms (DSA) interviews were always meant to filter for college education plus a willingness to learn something pointless.

Signalling

  1. Gergely Orosz Writes The Pragmatic Engineer DSA was always meant to be a filter for a mix of college education + willingness to learn something pointless @GergelyOrosz on Xx.com · 11 Oct 2026
    DSA was always meant to be a filter for a mix of college education + willingness to learn something pointless

Google's product and operational quality has slipped, from Firebase incidents to Workspace AI

Our label. 4 claims in Gergely Orosz's own words.

Google's Firebase no longer has a quality release process involving automated tests, world-class monitoring & alerting, and a standout incident management process

  1. Gergely Orosz Writes The Pragmatic Engineer The assumption that Google has a quality release process - aka automated tests, world-class monitoring & alerting, and a standout incident management process - is no longer true for Firebase @GergelyOrosz on Xx.com · 29 Sept 2026
    The assumption that Google has a quality release process - aka automated tests, world-class monitoring & alerting, and a standout incident management process - is no longer true for Firebase

Google's incident management for Firebase was poor and inconsistent with its usual standards.

  1. Gergely Orosz Writes The Pragmatic Engineer Firebase – built by Google – has had a nasty outage this week with shockingly poor incident management at odds with how Google itself usually deals with high-severity incidents. The Pulse: Firebase’s global outage & poor responseblog.pragmaticengineer.com · 8 Oct 2026
    Firebase – built by Google – has had a nasty outage this week with shockingly poor incident management at odds with how Google itself usually deals with high-severity incidents.

Google integrated Gemini into its Workspace products ineffectively.

  1. Gergely Orosz Writes The Pragmatic Engineer Google integrated Gemini into every single place inside Google Workspace where it doesn't work, and nowhere where it would be useful @GergelyOrosz on Xx.com · 25 Sept 2026
    Google integrated Gemini into every single place inside Google Workspace where it doesn't work, and nowhere where it would be useful

Following up on action items at Google moves at a snail pace, even with AI.

  1. Gergely Orosz Writes The Pragmatic Engineer AI agents might be making lots of work more efficient, but following up on action items seems to move at the same snail pace at Google, as it did pre-AI! The Pulse: Firebase’s global outage & poor responseblog.pragmaticengineer.com · 8 Oct 2026
    AI agents might be making lots of work more efficient, but following up on action items seems to move at the same snail pace at Google, as it did pre-AI!

The frontier model is rarely needed: cheaper open models are good enough and save the most

Our label. 4 claims in Gergely Orosz's own words.

The largest tech companies are not using fewer tokens; they are switching to cheaper, still capable open models instead of SOTA models.

  1. Gergely Orosz Writes The Pragmatic Engineer the largest tech companies (at the top 1%) aren't using fewer tokens, they're just being cost conscious and moving to cheaper, still very capable open models running vs SOTA model usage @GergelyOrosz on Xx.com · 9 Sept 2026
    the largest tech companies (at the top 1%) aren't using fewer tokens, they're just being cost conscious and moving to cheaper, still very capable open models running vs SOTA model usage

Using open models is the approach offering the biggest AI cost savings, followed by smart model routing.

  1. Gergely Orosz Writes The Pragmatic Engineer To answer the question posed in the header of this report, it’s apparent that using open models is indeed the approach offering the biggest savings, followed by smart model routing. Spending controls and context optimization also bear down on costs, but they don’t come close to the first two techniques in results. The Pulse: tech companies move to open AI modelsblog.pragmaticengineer.com · 10 Sept 2026
    To answer the question posed in the header of this report, it’s apparent that using open models is indeed the approach offering the biggest savings, followed by smart model routing. Spending controls and context optimization also bear down on costs, but they don’t come close to the first two techniques in results.

Having the very best AI model and harness does not result in better or faster execution and can slow teams down

  1. Gergely Orosz Writes The Pragmatic Engineer having the very best AI model and harness doesn’t result in better/faster execution - in fact it slows you @GergelyOrosz on Xx.com · 19 Sept 2026
    having the very best AI model and harness doesn’t result in better/faster execution - in fact it slows you

Existing AI models are already more than good enough, doing more for writing code than the author can make use of.

  1. Gergely Orosz Writes The Pragmatic Engineer the existing ones were more than good enough, and I'm learning how much to trust those existing ones... and already they do more than I can utilize them (for writing code) @GergelyOrosz on Xx.com · 8 Sept 2026
    the existing ones were more than good enough, and I'm learning how much to trust those existing ones... and already they do more than I can utilize them (for writing code)

LLMs are probability machines, not minds: not conscious, not intelligent, and often wrong

Our label. 5 claims in Gergely Orosz's own words.

Machines are not conscious

  1. François Chollet Creator of the Keras deep-learning library and the ARC-AGI benchmark Likewise a static input-output program that has *none* of the properties we associate with conscious beings (e.g. information integration, interoception, temporal binding, embodiment, etc.) has no more reason to be presumed conscious than a rock has to be presumed alive. @fchollet on Xx.com · 4 Oct 2026
    Likewise a static input-output program that has *none* of the properties we associate with conscious beings (e.g. information integration, interoception, temporal binding, embodiment, etc.) has no more reason to be presumed conscious than a rock has to be presumed alive.
  2. Gergely Orosz Writes The Pragmatic Engineer An LLM is as conscious as my screwdriver, lawn mower or smartphone is - all tools we build to do X or Y. @GergelyOrosz on Xx.com · 3 Oct 2026
    An LLM is as conscious as my screwdriver, lawn mower or smartphone is - all tools we build to do X or Y.
  3. Noah Smith Economics writer; author of the Noahpinion newsletter However, this is the most convincing argument against machine consciousness that I have ever come across. @Noahpinion on Xx.com · 3 Oct 2026
    However, this is the most convincing argument against machine consciousness that I have ever come across.
  4. Anil Seth Professor of Cognitive and Computational Neuroscience… My credence in consciousness for current LLMs being very close to zero @anilkseth on Xx.com · 2 Oct 2026
    My credence in consciousness for current LLMs being very close to zero

The term "artificial intelligence" is a stretch because LLMs are probability distributions and do not meet the common understanding of "intelligence."

  1. Gergely Orosz Writes The Pragmatic Engineer even “artificial intelligence” was a stretch given LLMs are probability distributions and do not meet our common understanding of “intelligence.” @GergelyOrosz on Xx.com · 9 Oct 2026
    even “artificial intelligence” was a stretch given LLMs are probability distributions and do not meet our common understanding of “intelligence.”

Changing your mind as the facts change is something to celebrate, not hold against anyone

Our label. 3 claims in Gergely Orosz's own words.

In a fast-changing industry, anyone genuinely keeping up will change their mind as the developments happen.

  1. Gergely Orosz Writes The Pragmatic Engineer Especially in technology - one of the fastest changing industries - anyone keeping up with developments WILL change their minds when those developments happen!! @GergelyOrosz on Xx.com · 7 Sept 2026
    Especially in technology - one of the fastest changing industries - anyone keeping up with developments WILL change their minds when those developments happen!!

An “AI trained on person X” cannot stand in for that person, because people change their minds in light of new information and the model does not.

  1. Gergely Orosz Writes The Pragmatic Engineer This is, by the way, also why the category of “an AI trained on person X” is absolutely BS. People change their minds in light of new information, the “AI trained on X’s writing/videos/tweets” does not @GergelyOrosz on Xx.com · 7 Sept 2026
    This is, by the way, also why the category of “an AI trained on person X” is absolutely BS. People change their minds in light of new information, the “AI trained on X’s writing/videos/tweets” does not

Changing your mind in light of new facts should be celebrated rather than held against you.

Probabilistic thinking, Error correction

  1. Gergely Orosz Writes The Pragmatic Engineer IDK why anyone has a problem with having strong opinions, weakly held. @GergelyOrosz on Xx.com · 7 Sept 2026
    IDK why anyone has a problem with having strong opinions, weakly held.
  2. Pieter Levels Dutch bootstrapper who builds and runs his internet startups alone The smartest people I know have strong opinions weakly held and change them when new information arises The dumbest people I know keep their opinions the same just so they can remain consistent Time changes too fast try remain consistent, better to sail the waves to wherever they are taking you! The smartest people I know have strong opinions weakly heldlevels.io · 7 Sept 2026
    The smartest people I know have strong opinions weakly held and change them when new information arises The dumbest people I know keep their opinions the same just so they can remain consistent Time changes too fast try remain consistent, better to sail the waves to wherever they are taking you!
  3. David Heinemeier Hansson Creator of Ruby on Rails, CTO of 37signals I'd rather celebrate people updating their priors than dunking on them for being late. Make it cool to change your mind when you realize the facts have changed! @dhh on Xx.com · 3 Sept 2026
    I'd rather celebrate people updating their priors than dunking on them for being late. Make it cool to change your mind when you realize the facts have changed!
  4. Stephan Guyenet Obesity researcher with a PhD in neuroscience Inability to change one’s mind is a hallmark of an irrational belief system. Quickly assessing the credibility of public expertsstephanguyenet.com · 30 Aug 2018All korrents from this piece
    Inability to change one’s mind is a hallmark of an irrational belief system.