However, I'm still split. Because this could mean that we see a jump in code quality, due to bad coders getting someone better to code for them. But we could see a decrease in code quality, due to less people "caring".
[–] LeafItAlone 4 days ago
I envy you.
I believe that anyone who holds this position has been extremely lucky/fortunate to work with only top-tier developers. And does not read or work with open source projects.
Last year’s models are producing code better than _at least_ 50% of the developers I’ve worked with. Today’s frontier models are better than probably 75%. If the code that humans have been generating has been “good” (on average) or at least good enough, then the models that exist today are producing “good” code.
[–] hbrn 3 days ago
And the bar is already raised because every single one of those engineers now has access to the same models. So you need to be in the top 1% of the engineers armed with LLMs. You can't just rely on LLMs getting better. AI is not the great equalizer, it is, in fact the opposite.
[–] JBits 4 days ago
[–] zahlman 4 days ago
This is very much not my experience.
[–] cicko 4 days ago
[–] wiseowise 4 days ago
I’m probably the best coder in my org, which doesn’t really say much, but at least allows me to judge about the room temperature. It is solved. I don’t say that’s you, but the only people who say it isn’t “that good” are the same people who used to yak shave, rename and move things 10 times until it “feels right”.
[–] XenophileJKO 4 days ago
I think what people are missing is that people often become craftsman because we want to be able to keep the code adaptive and performant so we can provide business value quickly and efficiently.
The change is with models, the benefit dynamics of immaculately structured code changes dramitically. Now the real area you need to focus on is correctness and performance. Structure doesn't really matter unless it serves those two purposes, at least from the business value side.
[–] akoboldfrying 4 days ago
[–] prmph 4 days ago
[–] akoboldfrying 4 days ago
As with eliminating other forms of abstraction, there's not much gain from doing so. Writing source code and then compiling it offers many useful checks, and greatly simplifies making changes. It's just something that may no longer be necessary at some point.
[–] LeafItAlone 4 days ago
Nearly everyone I’ve worked with that would say this ended up being the in the bottom quartile of those shipping features and their code was often the most complex. At least in small, “fast”-moving companies.
A few people I have worked with have nailed it, but they were the ones to balance present and future weighted towards present.
[–] mzhaase 4 days ago
Spec was good, all tests green, app worked. If I didn't actually go in and try to understand the code I would have shipped it like this.
So here is my question to people saying it's solved : do you actually know that it is or does it simply appear so because all the tests are green?
[–] user43928 4 days ago
First of all, it sounds unlikely to me that such an implementation was made with Opus 5.5 while it never mentioned the workaround.
Secondly, if the performance was indeed inadequate, that's something I would have caught during QA testing and simply have had the agent fix it.
[–] n4r9 4 days ago
[–] user43928 4 days ago
When I looked at a benchmark, it suggested Sonnet 5.5 wasn't much cheaper than Opus 5.5 at Low to Medium effort for similar performance. That might not be representative of real world use though.
[–] n4r9 4 days ago
[–] user43928 4 days ago
Optimizing performance is one of the tasks best suited to AI, since the outcome is measurable.
I can't comment on complex algorithms specifically, but it's not at all the case that this works only for basic apps or cannot handle complex, performance critical work.
[–] prmph 4 days ago
First, you question the model. I have reams and reams of conversations with Opus 5.5 that shows it makes architectural messes all the time
And then you are saying you needed to have performance tests (which many devs don't even bother with) to catch bad architecture?? lol
So what if the architectural problem is not one that would be caught with a performance test? It seems you lack imagination to think of all the ton of issues that that would be very complicated to catch with tests.
[–] user43928 4 days ago
I don't think I commented on performance tests at all.
Maybe I lack imagination here, yes, but generally I go by experience rather than talking about imagined issues. That is precisely what many here seem to do when it comes to explaining why AI couldn't work for them, and why reviewing the code remains necessary.
[–] prmph 4 days ago
Me: Why this:
> I'm adding a lookup to persistEphemeralVFolder so that a repeated search reuses the user's root vFolder with the same query instead of hitting the unique index.
Claude Opus 5.5: A search stores its query as an ephemeral root vFolder. The new unique index on (user, parent query, query) now rejects a second root vFolder with the same query. As written, persistEphemeralVFolder always inserts, so repeating a search would fail its insert, the retry with a fresh short code would fail too, and the search would return an error. The Ephemeral VFolder paragraph we rewrote in the SPECS also says a search reuses the existing vFolder with its query, so the user gets the same short code back.
The lookup I proposed would also copy the query-then-create logic already in the PUT /vfolders handler. A cleaner option is one shared engine function that finds or creates a vFolder by query, called by both the handler and persistEphemeralVFolder. Shall I do that, or keep the local lookup?
Churned for 6s · done 1:10 PM
Me: I mean, is it not cleaner to fix this: "persistEphemeralVFolder always insert"
And generally, we want the db and its indexes to do their work, not duplicating that in application code with pre-lookups and stuff
Claude Opus 5.5: You're right. Both persistEphemeralVFolder and the lookup I put in the PUT /vfolders handler should be replaced by a save with conflict keys (user, parent query, query), so the unique index decides whether a row is created or updated.
[–] user43928 3 days ago
[–] Arkhaine_kupo 4 days ago
if the cost of writing code collapses, what are the barriers to including these kind of tests?
It seems like the flow and work when using LLMs has to change, spend longer on the plan, spend more time on defensive testing, have more comprehensive tests (input validation, cybersecurity, performance, data hygine) and less time on functionality
if you want to write code the old way where the architecture is human readable and the tests are an after thought, then thats on you if you then ignore the part where the human has to read it.
TLDR: either go full agent, or actually learn the code being produced, but not both.
[–] wiseowise 4 days ago
[–] zahlman 4 days ago
[–] oortoo 4 days ago
[–] wiseowise 4 days ago
[–] spacechild1 4 days ago
[–] fapjacks 4 days ago
[–] zahlman 4 days ago
… Yes? Of course recognizing the flaws in the code correlates with having high standards. That doesn't mean the flaws aren't there.
[–] wiseowise 4 days ago
[–] vkgcr 3 days ago
Product quality is an emergent property of high standards (aka code quality).
[–] zahlman 3 days ago
[–] Seattle3503 4 days ago
[–] wiseowise 4 days ago
[–] Seattle3503 4 days ago
[–] user43928 4 days ago
Between Opus 5.5 + GPT-6.1 Sol reviewer, most issues and unhandled edge cases are caught during implementation.
Then you QA test and provide the feedback.
I guarantee that this is enough to produce not only a working product, but is well capable of building apps much better than what is out there, without ever looking at the code.
Depending on your product and risk tolerance you may disagree. I believe that for the vast majority of use cases the approach I described, combined with extensive manual testing, is entirely adequate.
[–] senordevnyc 4 days ago
It's worth noting that I also have a lot of guardrails and custom tooling around my own process to check code quality, QA functionality, limit blast radius of bugs, add observability, make deployments and rollbacks quick and low risk, etc.
[–] Seattle3503 4 days ago
I'm not sure if this means we will see smaller and smaller firms as a sort of market darwinism rewards good AI use by solopreneurs, and as large organizations tear themselves apart, or if we see the way big firms hold people accountable for their work change dramatically.
I also wonder what happens to these solo-businesses as they need to hire their second employee. What goes from a personal workflow will need to become a business process. I bet a lot of solo operators will resist employee #2 at nearly every cost!
[–] prmph 4 days ago
If you want to provide a good, secure, user-empowering, performant product, you cannot delegate everything agents, I assure you. And, building your foundation on un-reviewed mess of code will come back to bite you (partly depending on how big you grow), the same way it does with humans, which management always think is not an issue until it becomes one.
Now, you don't have to take my word for. Think of this: why is every change to Claude Code making it worse now? It is not almost unusable for me after many regressions over past hew years in its UX. Is it because of a lack of AI being used in its development?
[–] n4r9 4 days ago
[–] tempfile 4 days ago
[–] wiseowise 4 days ago
[–] gunslinger_meta 4 days ago
[–] wiseowise 4 days ago
[–] Cthulhu_ 3 days ago
Refactoring and clearing up tech debt is faster now than it's ever been, and assuming it'll be even better in the near future, why should anyone care about what is "good" right now?
(This is a devil's advocate kind of remark by the way, I'm very much in favor of good / quality code, but also realistic enough that nobody has or gets time to finetune code nearly as much as they should)
[–] Paturages 4 days ago
[–] eigencoder 4 days ago
[–] Veelox 4 days ago
There is still questions about if that jira ticket should have been written but from ticket to mergable PR it's better than me.
[–] tonymet 4 days ago
[–] quantiq 4 days ago
I can virtually guarantee the bar for code can go so much lower as we rapidly deskill programmers.
[–] tonymet 3 days ago
We actually have a fabulous opportunity to generate much higher quality code products with AI.
And even in your case, with the eager AI student -- AI code education is much better than reading docs and struggling with tools. Students can now focus on the important software topics.
I remember my intro C++ classes and how many students stumbled on pointless & transient tooling , that was completely orthogonal to their proper engineering skills.
Now students can focus on their area of expertise and produce the highest quality possible without any resource restrictions.
[–] Seattle3503 4 days ago
[–] slopinthebag 4 days ago