I would say "Elected errors _in_ Claude Opus 5" wouldn't be incorrect either.. Opus 5 isn't very reliable for coding and introduces a lot of regressions every single time I use it.
Do you have the same experiences?
I also found it to forget some obvious cases in a quite simple flow (validate the email address of a user who register), that surprised me a lot. Maybe it's because I got used to Fable? But I am quite sure Opus 4.8 wouldn't have make this mistake. If I had time I would try the same prompt with it to see.
Anyway, back on 100% Fable for me.
I don't know what I could be doing differently to you but I found Opus 5 to be more reliable than even myself at times. Maybe your stack is unusual or you have conflicting commands in your prompts vs CLAUDE.md (that really confuses it)? It could be anything but this huge error bar in delivered quality is one of the biggest issues with LLMs.
Opus 5 isn't very reliable for coding and introduces a lot of regressions every single time I use it.
And GPT 5.6 Sol over engineers just about everything. No LLM is perfect, its about learning the issues with each LLM and figuring out if you can live with it. Knowledge means that you can anticipate if it tries to pull something funny, and harness it against that behavior.
this would be _Great_ advice if you owned your own LLM and your knowledge was trapped in Amber because you were satisfied.
It's horrible advice given what we've seen consistent: changing alignments, changing guardrails, changing system prompts, changing inference priorities, etc.
Anyone who relies on these for their work product is chaining themselves to a matrix multiple of indetermintism.
I detect the regression already in planning with Opus 5, so I do not let Opus 5 implement anything. But it is a waste of time and tokens! Does planning with Opus 5 works out for you?
I'd just end up being really annoyed about the downtime if it lands in the middle of a working day.
And GPT 5.6 Sol over engineers just about everything. No LLM is perfect, its about learning the issues with each LLM and figuring out if you can live with it. Knowledge means that you can anticipate if it tries to pull something funny, and harness it against that behavior.
It's horrible advice given what we've seen consistent: changing alignments, changing guardrails, changing system prompts, changing inference priorities, etc.
Anyone who relies on these for their work product is chaining themselves to a matrix multiple of indetermintism.
Related: https://news.ycombinator.com/item?id=49066591 https://news.ycombinator.com/item?id=49056194 https://news.ycombinator.com/item?id=49067964