[HN Gopher] Where does engineering go? Retreat findings and insi...
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       Where does engineering go? Retreat findings and insights [pdf]
        
       Author : danebalia
       Score  : 74 points
       Date   : 2026-03-11 20:40 UTC (5 days ago)
        
 (HTM) web link (www.thoughtworks.com)
 (TXT) w3m dump (www.thoughtworks.com)
        
       | bmurphy1976 wrote:
       | @dang this is a very interesting and relevant doc. I think it
       | needs another chance at making it to the front page.
       | 
       | This is a fairly easy to read doc discussing some of the
       | challenges with using AI tooling in a forward thinking and
       | disciplined way. Coming from Thoughtworks it also gives a bit of
       | gravitas and legitimacy.
       | 
       | There's good stuff in here. It would be a shame for the larger HN
       | community to miss out on this conversation.
        
         | dang wrote:
         | Ok, let's give it a try. (Btw, @dang doesn't work reliably -
         | for that you need to email hn@ycombinator.com. I only saw this
         | by accident.)
        
           | codethief wrote:
           | I think the original title is better than the current one,
           | though: "The future of software engineering - [Thoughtworks]
           | retreat findings and strategic insights"
        
             | dang wrote:
             | Why do you think it is better?
        
         | kingkongjaffa wrote:
         | > Coming from Thoughtworks it also gives a bit of gravitas
         | 
         | Why? I thought the opposite. Consultancies, of which
         | thoughtworks is one, publish thought leadership as marketing
         | material.
        
           | Rapzid wrote:
           | > "Where does the rigor go?"
           | 
           | > Engineering quality doesn't disappear when AI writes code.
           | It migrates to specs, tests, constraints, and risk
           | management.
           | 
           | These are generic "thoughts" you can get from any agency
           | pushing AI SDLC. The pages I read through left me wondering
           | if there was even a real retreat.
        
             | lelandbatey wrote:
             | You're right that this isn't some groundbreaking
             | revelation. If you're using AI enough to be feeling it,
             | you're feeling/seeing what they're talking about. The
             | purpose of a paper/retreat like this it get it all together
             | and written down on paper, then to disseminate it to the
             | wider world. I think the paper does a good job of
             | collecting info that isn't wrong, and which has enough info
             | to help guide folks making decisions.
        
               | Rapzid wrote:
               | It's drivel.
        
           | superfrank wrote:
           | Mainly because Martin Fowler is part of their C suite
           | 
           | I agree that it's marketing material, but that doesn't
           | instantly make it garbage. I've been reading their quarterly
           | Thoughtworks Radar for a while now and it's clearly put
           | together by people who understand the industry.
        
       | johsole wrote:
       | This is a great pdf and well worth the read. I've had a lot of
       | the same questions in my head and glad to see they are concerns
       | others are facing as well.
        
       | zer00eyz wrote:
       | > Engineering quality doesn't disappear when AI writes code. It
       | migrates to specs, tests, constraints, and risk management.
       | 
       | > Code review is being unbundled. Its four functions (mentorship,
       | consistency, correctness, trust) each need a new home.
       | 
       | > If code changes faster than humans can comprehend it, do we
       | need a new model for maintaining institutional knowledge?
       | 
       | The humans we have in these roles today are going to suffer. The
       | problem starts at hiring, because we rewarded memorization of
       | algorithms, and solving inane brain teasers rather than looking
       | for people with skills at systems understanding, code reading
       | (this is a distinct skill) and the ability to do serious review
       | (rather than bike shed Ala tabs over spaces).
       | 
       | LLM's are just moving us from hammers and handsaws to battery
       | powered tools. For decades the above hiring practices were "how
       | fast can you pound in nails" not "are you good at framing a
       | house, or building a chair".
       | 
       | And we're still talking about LLM's in the abstract. Are you
       | having a bad time because you're cutting and pasting from a
       | browser into your VIM instance? Are you having a bad time because
       | you want sub-token performance from the tool? Is your domain a
       | gray box that any new engineer needs to learn (and LLM's are
       | trained, they dont learn).
       | 
       | Your model, your language, your domain, the size of task your
       | asking to be delivered, the complexity of your current code base
       | are as big a part of the conversation. Simply what you code in
       | and how you integrate LLMs really matters to the outcome. -- And
       | without this context were going to waste a lot of time talking
       | past each other.
       | 
       | Lastly, we have 50 years of good will built up with end users
       | that the systems are reliable and repeatable. LLM's are NOT that,
       | even I have moments where it's a stumbling block and I know
       | better. It's one of a number of problems that were going to face
       | in the coming decade. This issue, along side security, is going
       | to erode trust in our domain.
       | 
       | I'm looking forward to moving past the hype, hope and hate, and
       | getting down to the brass tacks of engineering. Because there is
       | a lot of good to be had, if we can just manage an adult
       | conversation!
        
         | mlinhares wrote:
         | Same, I'm seeing people having a lot of difficulty working with
         | agents and providing prompts that can have the agent go end-to-
         | end on the work. They just can't write prose and explain a
         | problem in a way that the agent can go out and work and come
         | back with a solution, they can only do the "little change with
         | claude code" workflow and that just makes you less productive.
         | 
         | I don't think the industry is ready or has the manpower to
         | deliver on all the promises they're making and a lot of
         | businesses and people will suffer because of that.
        
           | chickensong wrote:
           | People just need to lower their expectations a bit. There's a
           | large space between "prompting for end-to-end solution" and
           | "little change".
        
         | chickensong wrote:
         | I agree with the spirit of what you're saying, but...
         | 
         | > we have 50 years of good will built up with end users that
         | the systems are reliable and repeatable
         | 
         | There's good yes, but also we've raced to build dystopian
         | bullshit and normalized identity theft because most software is
         | garbage. There might not be as much goodwill as you think.
         | Software eats the world, and many simply feel helpless. The
         | erosion of trust you're predicting has already happened, or
         | never existed IMHO.
         | 
         | LLMs may not 1-shot reliable and repeatable systems, but
         | they're a powerful tool that I hope will end up improving
         | systems overall, for reasons you've mentioned, among others.
        
       | NeutralForest wrote:
       | I thought it was generally interesting but it needs to
       | materialize into processes and tools people can use.
        
       | echelon wrote:
       | > practitioners are exploring how to make incorrect code
       | unrepresentable.
       | 
       | I'll say it again and again and again: Rust is the best language
       | for ML right now.
       | 
       | You get super strict, low-defect code. If it compiles, that's
       | already in a way a strong guarantee.
       | 
       | Rust just needs to grow new annotations and guarantees.
       | "nopanic", "nomalloc", etc., and it would be perfect. Well, that
       | and a macro-stripped mode to compile faster. I'd happily swap AOT
       | serde compilation (as amazing as Serde is) for permanent codegen
       | that gets checked in and compiles fast.
        
       | kseniamorph wrote:
       | given specification approach: personally i found it useful in
       | some cases to write preceding block-comments for functions. you
       | can describe the desired behaviour there, input/output types,
       | etc. you can even make a skeleton from comment blocks and run
       | one-shot generation. but this approach is especially useful in
       | iterative development and maintenance.
        
       | hackncheese wrote:
       | Found myself both resonating with a lot of points, and being
       | challenged to consider other questions and possible solutions.
       | Super insightful
        
       | svilen_dobrev wrote:
       | > produced something more useful: a map of the fault lines where
       | current practices are breaking and new ones are forming.
       | 
       | Here some story. Long time ago, i wrote a (software) accounting
       | system. From 1st principles - nomenclatures, accounts, double-
       | entry, transactions, balance (=current cached status),
       | operations+reports on top of these. 5 tables (+1 for access
       | control later). Very flexible and re-configurable into whatever
       | one imagines. But anyway.
       | 
       | We deployed it at several places. The biggest one - retail with
       | 50+ salepoints across whole region - was the most troublesome..
       | and after a month+ back-and-forth it dawned that.. they did have
       | very well-working paper system of accounts/documents/data/values
       | flow which was highly optimized for humans and the reality it was
       | in (papers, remote places, delays, etc). Humans forget, make
       | mistakes, displace things etc ; paper rots in time; distances
       | make things out-of-sync - yesterdays invoices from village X will
       | come tomorrow - maybe - .. etc. So their document flow - and even
       | people-roles - were aligned with that system. Duplicating some
       | things and completely avoiding others.
       | 
       | The new software had no such notions. There was no such thing as
       | forgetting, displacing, out-of-balance. And while temporal stuff
       | was fine, the document flow - even if consisting of _same_ dot-
       | matrix-perfect documents - was different to what they have used
       | to. So.. it took them - and us - 3 months to retrain the
       | personnel to unlearn their old system and to start actually using
       | the new one properly, and enjoying the ride instead of fighting
       | it.
       | 
       | Back to the topic.. i guess the old system of software
       | engineering, built last 50+ years, has to be rearranged now. Not
       | everything, but.. quite. Some things probably may wait for
       | tomorrow, as the paper notes, but some - like roles and what they
       | mean, and the cognitive/understanding chasm - is for yesterday..
       | 
       | Edit: after reading the whole paper, i think there are some
       | things that can be "loaned" from hardware-design (chips etc)
       | flows and processes. i see this analogy - the hardware's target
       | environment (actual physical world, e.g. silicon etc) is also
       | non-deterministic.. just mostly. Things like Requirements
       | engineering, design-for-test ; all the enveloping (heat, power
       | etc) and whatever else may come handy (i am not hardware dev,
       | only seen these from aside, e.g. from a Verilog compiler)
        
       | Pasanpr wrote:
       | > The product management side of this equation is equally
       | unsettled. If developers are now thinking more about what to
       | build and why, they are doing work that used to belong to product
       | managers
       | 
       | It's not clear to me why this is true. If LLMs are writing code,
       | why are developers simply not orchestrating the completion of
       | more features instead of moving up the stack to do product
       | development work? Is there some implication that the existence of
       | LLMs also enables developers to run user studies, evaluate
       | business metrics and decide on strategy?
       | 
       | Additionally, if PMs can use LLMs to increase velocity in their
       | work why not focus on all the things that used to be
       | deprioritized? Why, with the freed up time, is generating code
       | the best outcome?
       | 
       | These questions likely have different answers depending on
       | organization size but I'm not sure I understand why orgs wouldn't
       | just do more work in this scenario instead of blending
       | responsibilities. It's not like there's infinite mental bandwidth
       | just because an LLM is generating the code
        
         | drivebyhooting wrote:
         | Because feature development speed wasn't the bottleneck a lot
         | of times.
        
         | roncesvalles wrote:
         | Arguably the PM role only exists because SWEs don't want to do
         | PM work, and the industry acquiesced to this because SWEs are
         | in very short supply - if you could hire a layperson (sorry) to
         | take a few hours of non-technical work off a SWE's plate, it is
         | worth it.
         | 
         | In a (hypothetical; not quite there yet) world where SWEs are
         | in surplus, there is no reason to have PMs.
         | 
         | The really eye-popping efficiency gains from LLM coding won't
         | come from doing the coding faster but from consolidating the
         | PM, SWE, and QA/SDET roles under the same person. Then you'll
         | start seeing startup/indie level productivity-per-person inside
         | large organizations. Imagine Google is like 50,000 Pieter
         | Levels.
        
           | manphone wrote:
           | The concept of a large organization doesn't even make sense
           | in this model. How do you make decisions? How do you
           | coordinate? What is Google when you have 50,000 individual
           | silos?
        
         | wreath wrote:
         | PMs do different things in different organizations.
         | 
         | In my last job, PMs were responsible for identifying problems
         | that were worth solving and align with the overall company
         | vision and plans within the owned domain, and
         | design+engineering decided how to solve those problems and what
         | to build. Of course with collaboration w/ the PMs (and EMs).
         | 
         | The job before that, PMs wrote jira tickets and nagged
         | engineering when tickets will be delivered. The "what problems
         | to solve and what to build" questions came straight from
         | CEO/CTO.
        
       | voxleone wrote:
       | >>Where does engineering go?
       | 
       | Up the abstraction ladder; we conceive axioms and constraints; we
       | define actors and objects; we direct rules, flows, sequences and
       | say when and how each one of them lives and dies.
       | 
       | May you live interesting times (some say this is a curse)
        
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       (page generated 2026-03-16 23:01 UTC)