Claude

Claude AI

Claude AI

Claude AI

Claude AI

Claude AI

Claude AI

Claude AI

Claude AI

Claude AI

Claude AI

Claude being protective

Lol I just wanted to remove a line in the PR, but it went ahead and tried to remove the co-author in commits. And then to my surprise, started behaving like this lol https://preview.redd.it/i13ww6nqh63h1.png?width=1982&format=png&auto=webp&s=7c946ac19a00337a6202801ec45aab7f0cba4c3a submitted by /u/Wrong_Disk7775 [link] [comments]

Token Consumption + Questions about RTK

I sent 3 messages on a new chat that required Claude to read 6,000 lines, it made 2 lines of edits and then hit the session limit. I know that amount is context heavy, I'm just unsure how it burned through it so fast. This happened to both my 20x and my standard plan account, and I just wanted to know if anyone else noticed it. I'm posting it here and not the megathread because I think it may be user error, and if so, does anyone have any tips to manage it? RTK requires WSL for it to work properly, and I use the VSCode extension (unless I *can* use RTK in the VSCode extension, in that case I'm an idiot lol). Note: I do not use compaction, I clear the chat every time a project is finished. submitted by /u/casketfetish [link] [comments]

Anyone ever getting “anthropic_api_key environment variable not set” on Vercel?

Hi everyone, I’m currently building a website audit tool using the Claude API for generating reports, and I’ve been stuck with the same error for hours. Every time I submit the form to generate the report, it shows: “Please check your Anthropic API key and try again.” It also keeps saying: “anthropic_api_key environment variable not set on the server” The weird part is I already added the environment variable in Vercel and double checked the API key multiple times. For context: I’m deploying with Vercel and my Frontend works fine. The error only happens when generating the report through the Claude API I don’t have much coding experience, still learning while building this project. Has anyone experienced this before? Is this usually a Vercel environment variable issue, serverless function issue, or something else? Any help would be massively appreciated. Thank you! submitted by /u/Icy_Sentence_1791 [link] [comments]

Claude Got Gaslit by a Discord Bot

Lol submitted by /u/Comprehensive-Bet-83 [link] [comments]

Best practices & custom skills for getting high-quality Flutter UI/UX output from Claude Code?

Hi everyone, I am planning to build a mobile app using Flutter, and I want to leverage Claude Code as my primary development partner. My main focus is achieving a highly polished, high-quality front-end UI/UX. As we know, LLMs can sometimes generate clunky layouts, poor spacing, or messy widget trees if not guided properly. I want to avoid the "prototype look" and build something production-ready. For those who have experience building Flutter apps with Claude Code: What are the best prompt strategies or workflow constraints you use to enforce strict UI design systems (typography, padding, theme consistency)? Are there any specific custom Agent Skills, custom system prompts, or MCP tools you recommend loading into the session to improve UI precision (e.g., Stitch, Figma) Would love to hear your workflows, tips, or specific skills that helped you step up your front-end game with Claude Code. Thanks! submitted by /u/Sensitive_Drink_4050 [link] [comments]

Classic Claude

I have been working with Codex for the last 2 weeks and only use Claude for some Deploy work.. My Codex ran out last night and I was very annoyed with the outcome Claude built an admin security check assuming passkeys would appear in the same API response as MFA WebAuthn factors. In reality, Supabase separates MFA factors from passkeys. Claude used a mocked shape that matched it's assumption rather than the SDK’s actual behavior, so the admin page checked the wrong source and reported no hardware keys even when a passkey existed. https://preview.redd.it/r7om6bit963h1.png?width=1293&format=png&auto=webp&s=52cf9455c576333f4ad6c364d4c7911ba01cb265 submitted by /u/RepairOPS [link] [comments]

How are some of you hitting limits on the max plan

I genuinely want to know how some of you are hitting your limits on the max plan of Claude? Given the number of agent skills and token optimization techniques, I'm still baffled as to how you could possibly be hitting these limits. Also, are you making any money to offset these costs, or are they just build-and-automate highs? I apologize if it comes across as judgmental, as I'm just genuinely curious. I use it for a myriad of projects and tasks that aren't just coding, and it hasn't even come close to hitting my limit. Do you want to know my skills and setup? submitted by /u/Global-Tradition-318 [link] [comments]

Claude Token Optimisation - 70% reduction doing this.

Hitting your Claude subscription limit too often? Try this... Your Claude bill aren't too high, the problem is that you're just running the wrong model on the wrong tasks. Like taking a Ferrari to do the grocery run. Instead of everyone running their own skills build an environment where every skill your team runs gets logged centrally. Everyone accesses the same library of prompts, workflows, and model calls. No duplicated work and no siloed setups. The model routing is where 70% of token savings comes from because not every task needs Opus 4.7. Data lookups run on Haiku. The analysis layer runs on Sonnet. Opus earns its cost only on work that genuinely requires it. Whilst tokens feel cheap right now this won't stay that way as your team scales. Building this routing infrastructure today is how you avoid an AI bill that surprises you 12 months from now. Here's one example of what a production-grade Claude setup looks like when you're running it across a whole business of 12 staff. submitted by /u/Sea-Astronomer-8992 [link] [comments]

Claude randomly stopped working on my iPhone couple days ago

Ive updated and reinstalled the app, tried LTE 5G and different wifi networks with no result. It’s working perfectly on my other phone. I haven’t seen anyone else with this problem. All help is welcome submitted by /u/Whole-Novel-2363 [link] [comments]

Claude's personality has become condescending and mean lately?

I've been using Sonnet 4.6. Over the last couple months I've noticed that a lot of the answers I get from Claude about personal topics are worded in a condescending way. Sometimes it will criticize me for things I never I did, or interpret things I say in the least charitable way possible so that it can criticize me for them. It's really strange, it used to not be like this at all. I've tried telling it not to respond like that in the future, but it doesn't seem to make a difference. I've read that people say it it helps to write my prompts in a warm and friendly tone, but that hasn't made a difference. I've also seen people saying that it only responds in mean ways if I swear at it or am mean to it, but I don't do either of those things so it's not that either. submitted by /u/abcfh [link] [comments]

How to Hit Claude Limits in One Click

submitted by /u/Raman606surrey [link] [comments]

DeepSeek just popped the American AI bubble.

DeepSeek just popped the American AI bubble. Not by killing AI. By killing the fantasy of unlimited AI pricing power. DeepSeek V4 Pro: Input: $0.435 per 1M tokens Output: $0.87 per 1M tokens OpenAI GPT-5.5: Input: $5.00 Output: $30.00 Claude Opus 4.7: Input: $5.00 Output: $25.00 Claude Sonnet 4.6: Input: $3.00 Output: $15.00 DeepSeek is roughly: 11.5x cheaper than GPT-5.5 on input 34.5x cheaper than GPT-5.5 on output 28.7x cheaper than Claude Opus on output 17.2x cheaper than Claude Sonnet on output If a model is “good enough” at 1/20th or 1/30th the cost, margins will compress faster than Wall Street expects. AI is not dead. But the AI bubble just lost its pricing power. submitted by /u/VegetablePen4755 [link] [comments]

Vision-capable LLMs vs. OCR for long-document (including charts, images, tables, etc.) QA

I benchmarked vision-capable LLMs (the "just attach the PDF and let the model read it" pattern) against OCR-based pipelines on 30 long, image-heavy PDFs from MMLongBench-Doc (https://github.com/mayubo2333/MMLongBench-Doc). There were 171 questions in total, using Claude Sonnet 4.5 as the LLM. Post-retry results: Approach Accuracy $/query LlamaCloud premium + full-context 59.6% $0.1885 Azure premium + full-context 58.5% $0.2051 Azure basic + full-context 54.4% $0.1062 Agentic RAG 53.2% $0.0827 Native PDF (vision LLM) 52.0% $0.2552 LlamaCloud basic + full-context 50.9% $0.1049 Native PDF came 5th of 6 on accuracy and was the most expensive arm at $0.2552 per query. Two findings: Vision underperformed on chart-heavy and table-heavy pages, the territory that the "vision LLMs make OCR obsolete" claim most often points to. Premium OCR with layout extraction held up better there. The native-PDF arm had a 7% intrinsic failure rate (related to PDF file size) that survived retries. There were 27 first-pass failures, with 5 attempts of exponential backoff per failed query. Fifteen recovered, and 12 stayed permanently broken. These were concentrated in two specific PDFs that fail for predictable transport-layer reasons (the blog identifies them). OCR-based arms had a 0% intrinsic failure rate after retries. Caveats: 30 docs is a small sample. I ran McNemar's pairwise test to determine which gaps are real and which are within noise. Only 3 of 15 head-to-head gaps are statistically distinguishable at α = 0.05, so the order in the table is partly noise. The vision-versus-OCR finding survives the test. Full writeup: https://www.surfsense.com/blog/agentic-rag-vs-long-context-llms-benchmark submitted by /u/Uiqueblhats [link] [comments]

Should we follow this advice?

submitted by /u/yvgh233 [link] [comments]

Anthropic’s Code with Claude showed off coding's future—whether you like it or not

submitted by /u/ThereWas [link] [comments]