two claude max subs + one codex max here, just rotate to whichever isn't capped lol
Claude Code May–August 2026 weekly limits promotion
201–210 of 275 posts
Re: Claude Code May–August 2026 weekly limits promotion
#202For anyone on the fence, I was a hardcore CC user since it was released. I made the full switch to 5.6 sol and Codex about a month ago. It's the better experience. The limits are way higher (I almost never burn through my $200/m plan), and the output is better than Opus 4.8 (Opus 5 is completely unusable for me).
If you aren't using the full $200, you are losing money every month
Re: Claude Code May–August 2026 weekly limits promotion
#203consumer hardware is moving towards local ai and the models you can run now locally are already at opus 4.6 level. within 3 years most pc's sold will be ai computers.
The cost and knowledge required to do that is not viable for the average consumer. Same reason the whole OpenClaw thing imploded.
> the whole OpenClaw thing imploded
seems like just a month or so ago it was the new hotness [0]
[0] https://www.cnet.com/tech/services-and-software/from-clawdbo...
Re: Claude Code May–August 2026 weekly limits promotion
#204you guys are jumpy... relax
Re: Claude Code May–August 2026 weekly limits promotion
#205Earlier quoted context omitted.
> and it's likely producing better output to keep a human in the loop rather than trying to solve the world independently and making multiple incorrect assumptions. I was just discussing this with a co-worker yesterday. I would really like a model (or harness?) that worked with me instead of for me. Walk me through its choices and decisions, let me correct it and guide it along. I would be way more confident in it's…
Those exist and they're called orchestration skill frameworks like Superpowers, GetShitDone, etc.
does "Superpowers" exist outside of the Claude ecosystem? I feel like I've become hooked on this workflow - honestly I could take or leave the models ... it's the workflows and the way that they essentially create tightly focused loops over multiple sessions that I've becoming fairly dependent on.
Re: Claude Code May–August 2026 weekly limits promotion
#206Earlier quoted context omitted.
Those exist and they're called orchestration skill frameworks like Superpowers, GetShitDone, etc.
does "Superpowers" exist outside of the Claude ecosystem? I feel like I've become hooked on this workflow - honestly I could take or leave the models ... it's the workflows and the way that they essentially create tightly focused loops over multiple sessions that I've becoming fairly dependent on.
Yes, Superpowers is just a set of (agent agnostic) skills that you can use in any harness.
Re: Claude Code May–August 2026 weekly limits promotion
#207I've been watching this to see if they "extend" it again, let it end, or make it permanent. I'm regularly hitting 90-100% on my $200/mo sub and will switch to Codex in a heartbeat if they drop these limits. This constant uncertainty is really annoying.
The link now says it's extended til August 31st.
Re: Claude Code May–August 2026 weekly limits promotion
#208[flagged]
Re: Claude Code May–August 2026 weekly limits promotion
#209Earlier quoted context omitted.
It might be your prompting. My boss uses opus and gets good results when I use it always burns tokens. The other way is also true too I get great results with sol/terra but my boss does not.
Maybe. But if Claude is fine with my prompts while Codex uses them as an excuse to burn tokens. I have nothing against the model, they are more or less on pair, it’s just that Claude is giving me more value for same money.
If Claude is working for you then stick with it! Happy you’re getting good value from Claude.
Re: Claude Code May–August 2026 weekly limits promotion
#210Earlier quoted context omitted.
With Opus 5 / Fable / gpt-5.6 you can simply ask them to fan out subagents to look for ideal architectural simplifications and rank their findings by impact vs confidence. You can swap out "architectural simplification" with performance opportunities, bugs, correctness, etc. I get the orchestrator agent to then itemize it all into a file where I can keep track of which ones I've implemented. The results are pretty as…
> software engineering is more or less solved But the example you give is of a terminal for which there are copius examples in open source code. How hard is it really for a pattern matching machine to do that? If I was doing it I would start by forking an existing repo and I might even say then that "software engineering is more or less solved since the open source revolution" But I don't work on things like that.
Pretty much every software problem we work on breaks down into steps that are solved in prior art.
Even if it weren't, if you're capable of explaining the context and constraints of your problem, then a modern LLM with effort=high will generally come up with a solution that's worth starting with because it's well-reasoned.
Moreover, you can start with the solution and then course-correct based on future information because refactoring is trivial with an LLM, yet human projects often ratchet into a local optimum because refactoring is too expensive.
I don't think "it's been built before" does as much work as it seems. I didn't fork a project. The LLMs reasoned about how to build the project from scratch using trade-offs that made sense for my needs, and they made reasoned, unsolicited deviations from kitty, xterm, and co, not just blindly doing what some ref impl did. Btw, it was still a lot of work because my project isn't just "kitty but swift".
Then the models went on to drive a well-reasoned incremental implementation of a system that lets me use the terminal running on my Macbook from my iPhone over tailscale with a decent scheme it came up with itself.
The point is that I don't really have to know how things work to build good software with modern models. LLMs can do things like read Linux source code and adversarially refine ideas such that the final idea is a good one. And my biggest influences on the project can be automated through the use of reusable markdown files.
Now, I'm at risk of downplaying all my years in software here, but I see the writing on the wall. It was only one year ago that I only trusted AI to do autocomplete.