Comment by jpcompartir
19 hours ago
Anthropic releases used to feel thorough and well done, with the models feeling immaculately polished. It felt like using a premium product, and it never felt like they were racing to keep up with the news cycle, or reply to competitors.
Recently that immaculately polished feel is harder to find. It coincides with the daily releases of CC, Desktop App, unknown/undocumented changes to the various harnesses used in CC/Cowork. I find it an unwelcome shift.
I still think they're the best option on the market, but the delta isn't as high as it was. Sometimes slowing down is the way to move faster.
Boris from the Claude Code team here. We agree, and will be spending the next few weeks increasing our investment in polish, quality, and reliability. Please keep the feedback coming.
> investment in polish, quality, and reliability
For there to be any trust in the above, the tool needs to behave predictably day to day. It shouldn't be possible to open your laptop and find that Claude suddenly has an IQ 50 points lower than yesterday. I'm not sure how you can achieve predictability while keeping inference costs in check and messing with quantization, prompts, etc on the backend.
Maybe a better approach might be to version both the models and the system prompts, but frequently adjust the pricing of a given combination based on token efficiency, to encourage users to switch to cheaper modes on their own. Let users choose how much they pay for given quality of output though.
Sure, I've cancelled my Max 20 subscription because you guys prioritize cutting your costs/increasing token efficiency over model performance. I use expensive frontier labs to get the absolute best performance, else I'd use an Open Source/Chinese one.
Frontier LLMs still suck a lot, you can't afford planned degradation yet.
My biggest problem with CC as a harness is that I can't trust "Plan" mode. Long running sessions frequently start bypassing plan mode and executing, updating files and stuff, without permission, while still in plan mode. And the only recovery seems to be to quit and reload CC.
Right now my solution is to run CC in tmux and keep a 2nd CC pane with /loop watching the first pane and killing CC if it detects plan mode being bypassed. Burning tokens to work around a bug.
Can you please fix https://github.com/anthropics/claude-code/issues/43713 ?
Here's one person's feedback. After the release of 4.7, Claude became unusable for me in two ways: frequent API timeouts when using exactly the same prompts in Claude Code that I had run problem-free many times previously, and absurdly slow interface response in Claude Cowork. I found a solution to the first after a few days (add "CLAUDE_STREAM_IDLE_TIMEOUT_MS": "600000" to settings.json), but as of a few hours ago Cowork--which I had thought was fantastic, by the way--was still unusable despite various attempts to fix it with cache clearing and other hacks I found on the web.
hm. ml people love static evals and such, but have you considered approaches that typically appear in saas? (slow-rollouts, org/user constrained testing pools with staged rollouts, real-world feedback from actual usage data (where privacy policy permits)?
I am considering proving my feedback by not providing my money any longer.
> Please keep the feedback coming
if only there were a place with 9.881 feedbacks waiting to be triaged...
and that maybe not by a duplicate-bot that goes wild and just autocloses everything, just blessing some of the stuff there with a "you´ve been seen" label would go a long way...
Common pattern of checking the claude code issue tracker for a bug: land on issue #12587, auto closed as duplicate of #12043; check #12043, auto closed as duplicated of #11657; check #11657, auto closed as duplicate of #10645; check #10645, never got a response, or closed as not planned, or some other bullshit.
Why ban third party wrappers? All of this could've been sidestepped had you not banned them.
Because then they lose vertical integration and the extra ability it grants to tune settings to reduce costs / token use / response time for subscription users.
Or improve performance and efficiency, if we’re generous and give them the benefit of the doubt.
It makes sense, in a way. It means the subscription deal is something along the lines of fixed / predictable price in exchange for Anthropic controlling usage patterns, scheduling, throttling (quotas consumptions), defaults, and effective workload shape (system prompt, caching) in whatever way best optimises the system for them (or us if, again, we’re feeling generous) / makes the deal sustainable for them.
It’s a trade-off
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And you didn't invest anything in polish, quality and reliability before... why? Because for any questions people have you reply something like "I have Claude working on this right now" and have no idea what's happening in the code?
A reminder: your vibe-coded slop required peak 68GB of RAM, and you had to hire actual engineers to fix it.
I think you're being a bit harsh.
... But then again, many of us are paying out of pocket $100, $200USD a month.
Far more than any other development tools.
Services that cost that much money generally come with expectations.
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I've noticed the same thing in my own AI assisted work. Feels like I'm moving too fast and it's easy to implement decisions quickly but they really have to be the right f--ing decisions. In the past dev was so slow so you had a lot of time to vet the hard decisions and now you don't.
> It felt like using a premium product, and it never felt like they were racing to keep up with the news cycle, or reply to competitors.
I don't know, their desktop app felt really laggy and even switching Code sessions took a few seconds of nothing happening. Since the latest redesign, however, it's way better, snappy and just more usable in most respects.
I just think that we notice the negative things that are disruptive more. Even with the desktop app, the remaining flaws jump out: for example, how the Chat / Cowork / Code modes only show the label for the currently selected mode and the others are icons (that aren't very big), a colleague literally didn't notice that those modes are in the desktop app (or at least that that's where you switch to them).
Given the price I don't really think they're the best option. They're sloppy and competitors are catching up. I'm having same results with other models, and very close with Kimi, which is waaay cheaper.
I agree. It all feels so AI-slopy now.
I guess it's a bit of desperation to find a sustainable business model.
The AI hype is dying, at least outside the silicon valley bubble which hackernews is very much a part of.
That and all the dogfooding by slop coding their user facing application(s).