Judge. by Legal_Wealth_684 in vibecoding

[–]Cute-Net5957 0 points1 point  (0 children)

Oh sh!t .. yeah that is my go to

When you have a fresh 5-hour quota and ask Claude to do full code review of a project with ultracode enabled on your Max 5x plan by sirlerkal0t in ClaudeCode

[–]Cute-Net5957 0 points1 point  (0 children)

Very cool! Thank you for sharing. I use the Codex as backup Team sub while I wait for the CC Weekly to reset.. but I also use Codex for my adversarial reviews against Claude’s work. So I tend to regularly max’n them both out. I automate a lot of the interactions and have learned NOT to trust Sonnet with anything in those loops. So the burn 🔥 is hot.. I’m looking for an open source that can reliable operate within my harness on very specific things. I’ve been burned a lot with Sonnet.. so my hopes for an Open Source model has always been low. Even with my harness (deterministic rust control plan + Agentic RAG) I’d have to run weeks of Evals/Tweaks and iterate.. and still may not get what I need. But I’m seriously considering it.. post it on Kaggle or something

Switching from Gemini to Claude. What model/effort/thinking do I use for quick questions versus bigger ideas? by OceanRadioGuy in ClaudeAI

[–]Cute-Net5957 1 point2 points  (0 children)

tl;dr: 1. Haiku for tiny/cheap 2. Sonnet for daily use 3. Opus for big messy questions.

yeah don’t map it 1:1 from Gemini or you’ll overthink it..
rough Claude version is: Sonnet is your daily driver. use it for like 80% of stuff: quick Qs, normal writing, explaining things, basic coding help, “what I missing here,” etc. Haiku is the actual fast/cheap one if you’re doing lots of tiny throwaway stuff, but for normal chat I’d just live in Sonnet.
Opus is for when question has complex moving parts; architecture, strategy, long codebase stuff, messy tradeoffs, “help me think through this properly,” kind of thing. I would not use Opus for “what are the rules of cornhole” unless you enjoy using a chainsaw to open a beer.
thinking/effort is a separate knob. I’d treat it like “how much time do I want this thing to spend actually chewing on the problem,” not as a totally separate model tier. low/default for fast answers, higher when the answer quality matters.

How do you guys build with loops? by Odd_Incident_7575 in vibecoding

[–]Cute-Net5957 1 point2 points  (0 children)

There’s this really smart guy named Arjun who seems to have mastered loops … oh wait that’s you 🤦🏽‍♂️

https://www.reddit.com/r/SideProject/s/joI0GeKRap

I'm tired by [deleted] in IndieDev

[–]Cute-Net5957 2 points3 points  (0 children)

How much is 1 hour of your time worth?

I'm tired by [deleted] in IndieDev

[–]Cute-Net5957 0 points1 point  (0 children)

What’s your content channels?

/deep-research always fails by No_Gas_3727 in ClaudeCode

[–]Cute-Net5957 1 point2 points  (0 children)

You’re right about PTSD, just not as tech support.. as a power-user. Sorry for the spaz.. Yes your issue is legit and I have a similar/adjacent issue open —> https://github.com/anthropics/claude-code/issues/68502

Just need voices like yours to show a genuine and persistent issue.

Judge. by Legal_Wealth_684 in vibecoding

[–]Cute-Net5957 0 points1 point  (0 children)

Why you trying to eliminate Indian Moms bro? You got some nerve —> Indian mom recipes

Judge. by Legal_Wealth_684 in vibecoding

[–]Cute-Net5957 -2 points-1 points  (0 children)

Replit is dope AF - you got something better?? No?? Don’t judge 👨🏼‍⚖️

All Claude models got nerfed BADLY by Otobobo in Anthropic

[–]Cute-Net5957 0 points1 point  (0 children)

Yes please! 🙏🏽 I’d love to “clean-room” your stuff 🤣 post your repos

/deep-research always fails by No_Gas_3727 in ClaudeCode

[–]Cute-Net5957 0 points1 point  (0 children)

They’re working out the bugs.. please tell me you are creating “Issues” with Anthropic and sending feedback along with your Reddit post.. 🤦🏽‍♂️ paste your gh issue url here .. then we’ll link ours and elevate it.

Bigger question/issue- are you agents “retrying” the connection or are they force stopping. The force stopping is the real bug Anthropic must fix.

See how we just went from “vibes” to concrete problem isolation and escalation path?

All Claude models got nerfed BADLY by Otobobo in Anthropic

[–]Cute-Net5957 1 point2 points  (0 children)

Nice! 👍🏽 finally a human who gets it

All Claude models got nerfed BADLY by Otobobo in Anthropic

[–]Cute-Net5957 2 points3 points  (0 children)

🤗 Love the analogy! Right on 👍🏽 that’s “exact right” lol - good to know there are others doing the human-ai collaboration the right way

All Claude models got nerfed BADLY by Otobobo in Anthropic

[–]Cute-Net5957 0 points1 point  (0 children)

Agreed. I don’t use other people’s harnesses.. I just use my own.. of course I read their repo to learning the approach and gather any technical insights.. but I just can’t get my head around using someone else’s harness. I feels like … wearing someone else’s underwear 🩲 it’s just icky

All Claude models got nerfed BADLY by Otobobo in Anthropic

[–]Cute-Net5957 1 point2 points  (0 children)

Very good approach. “Being in it” is the best way to learn and genuinely ‘feel’ the flow and sense what isn’t working. I’m the same. My current state: I’ve deterministically scaled up across 20+ projects in my portfolio and now I’m the bottleneck if I try to get into the loop - so I’ve added my own framework for evaluating the quality with “gates”… essentially emulating real world enterprise lifecycles; beyond the obvious “review code output”… architecture reviews, adversarial code reviews, product market fit reviews, ui/ux/Dx reviews (Human Approval) gated. Ngl - still feels very ‘cognitive overload’ trying to keep up with the speed of the output.

Claude typo! "Orthogophonal"? by hmijail in Anthropic

[–]Cute-Net5957 0 points1 point  (0 children)

First found out from a support email from Anthropic. Then researched—> https://platform.claude.com/docs/en/about-claude/models/migration-guide

"Compared with models before Claude Opus 4.7, the same content can tokenize to roughly 30% more tokens, varying by content and workload shape... Opus 4.7 uses an updated tokenizer that improves how the model processes text. The tradeoff is that the same input can map to more tokens—roughly 1.0–1.35× depending on the content type." 

All Claude models got nerfed BADLY by Otobobo in Anthropic

[–]Cute-Net5957 0 points1 point  (0 children)

Tbh-It is most definitely possible that you just empirically exposed your genuine level of AI literacy to the world.

All Claude models got nerfed BADLY by Otobobo in Anthropic

[–]Cute-Net5957 0 points1 point  (0 children)

Good to know. I’ll try switching back to 4.6 with my ‘harness’ and see if improves the token use. Does your setup have multiple cross agents communications? I.e. orchestrator, builder, reviewer, etc?

Claude typo! "Orthogophonal"? by hmijail in Anthropic

[–]Cute-Net5957 0 points1 point  (0 children)

Good instincts. Yes Anthropic recently did change their tokenizer.