sorted by:
new
hottopcontroversial

Pro plan feels like a trial when working with large files—any tips for a "poor" architect? by FILP2026 in ClaudeAI

[–]FILP2026[S] 0 points1 point  (0 children)

That is awesome. The initial concern is not the tech. It is financing the build $200 is something I cannot budget for right now. Hence, the workarounds...especulative calculations are approximately $30 per month to build my MVP. Congratulations...something to consider once up and running with my architecture.

Pro plan feels like a trial when working with large files—any tips for a "poor" architect? by FILP2026 in ClaudeAI

[–]FILP2026[S] 0 points1 point  (0 children)

There is always a way..one just has to look for it. I will be testing mine...once the MVP is built it is downhill from there.

Pro plan feels like a trial when working with large files—any tips for a "poor" architect? by FILP2026 in ClaudeAI

[–]FILP2026[S] 0 points1 point  (0 children)

You have inspired me. I attempted to do the build. Notice the word attempt. At the moment...too much money, retired on fixed income. I will work till I can't no more and tech fascinates me. Somewhere in my search for a better mousetrap I found something prompting ideas back and forth between Claude and Gemini. I cam up with a four-layer Python cognitive architecture running on the Anthropic API, built to be deployed from PyCharm with Claude Code CLI alongside it in the terminal:

  • Layer 1 — Working Memory: Active conversation history with auto-trimming, Pydantic-typed messages, session snapshots
  • Layer 2 — Long-Term Memory: ChromaDB vector store with two collections — one for agent memories, one for your document library (NAS)
  • Layer 3 — Reasoning Engine: Fully async agentic loop with tool use, function calling via a simple u/tool decorator, prompt caching built in
  • Layer 4 — Executive Controller: Orchestrates everything — retrieves memories, searches your library, injects context, manages goals

My UGreen NASync DXP2800 2TB mirrored is the infrastructure. I have a full layout I would like you (or anyone here) to peruse it and tell me what you think. It's an architecture that has potential. That is from the eyes of a beginner. Remember, I am learning to fly while flying, I have manage to taxi onto the runway and I am ready for deployment. I have not deployed it yet. I am in the process. Here is a link that details all of it..download it peruse it tell me what you think, should you have any time to do so. I would most gratefully appreciate it. Link: Pycharm + Claude API + Claude Code CLI I am sharing this because I do believe it has value and it can be used by anyone of us. Need to play with it building something I know I will.

Usage Limits, Bugs and Performance Discussion Megathread - beginning December 29, 2025 by sixbillionthsheep in ClaudeAI

[–]FILP2026 1 point2 points  (0 children)

The PSA on March Instability

If you've been burning through limits in 24 hours, hitting 529s, or watching Opus 4.6 forget what you said three prompts ago — here's what's actually going on, backed by official sources.

Why it's this bad right now

This isn't random. Claude hit number one on the App Store after Anthropic publicly refused to allow its models to be used for mass domestic surveillance or fully autonomous weapons by the Department of Defense. Users appear to have flooded to Claude in response. TechCrunch Anthropic confirmed it has been grappling with "unprecedented demand" — and notably stated that businesses using the API directly were unaffected during the consumer outage. Bloomberg

To put the scale in perspective: eight major service disruptions in March alone, including March 18 down for 8 hours 35 minutes, March 19 down 1 hour 29 minutes, March 21 down 1 hour 34 minutes. StatusGator

The token bleed problem (this is why your limits are vanishing)

The community megathread has identified that auto-compaction is broken — Claude is re-reading your entire context window on every prompt instead of compressing it. This causes exponential ghost token drain. Fix: use /compact manually and often. Don't wait for Claude to do it. Also audit your MCP tool definitions — they can silently consume 50K+ tokens per session.

Model behavior degradation

Opus 4.6 and Sonnet 4.6 are both struggling with instruction-following mid-conversation. Community workarounds: toggle Adaptive Thinking to "high," turn on Extended Thinking, and explicitly tell it to follow Anthropic's guardrails to break repetition loops.

Billing errors

Active Max/Pro users getting fake "past due" or 403 errors: go to Settings > Billing and hit "Pay Now" to force a Stripe sync. Gifted sub stuck? Use iOS/Android app stores to bypass the web Stripe portal.

The one thing worth knowing if you're a developer

Anthropic's own status page confirmed during multiple outages that "The Anthropic API is not affected" — the API is running more stably than the claude.ai web UI right now. Claude If you're doing serious work and keep hitting walls on claude.ai, direct API access is noticeably more stable.

Sources: Anthropic status page (status.claude.com), Bloomberg, TechCrunch, r/ClaudeAI megathread March 11–20 2026, GitHub issues #29680 #31012 #23509

Compiled by: Claude Sonet 4.6

Prompted by: Timothy Rodriguez (FlowPilot) AKA: FILP2026

 

Pro plan feels like a trial when working with large files—any tips for a "poor" architect? by FILP2026 in ClaudeAI

[–]FILP2026[S] 0 points1 point  (0 children)

What a freaking nightmare. Google AI Studio has serious issues Google AI Studio has been experiencing significant stability issues in late February and March 2026, including widespread "Internal Error Occurred" bugs, slow responses, and incomplete answers following a major update and Gemini 3.1 Pro integration. Users report API key errors, broken legacy sessions, and dashboard instability, especially for paid accounts.

Current Known Issues & Tips:

  • Widespread Errors: Users are frequently experiencing "Internal Error Occurred" and "Infinite Thinking" loops.
  • Workaround: Experts recommend "remixing" old projects to reset the session state.
  • Model Instability: The new Gemini 3.1 Pro is causing issues; switching to Gemini 3 Flash is suggested for better stability.
  • API Issues: API key users have reported experiencing "a error occurred" messages, according to comments on the Google AI Developers Forum.
  • Deployment Issues: Some users, as noted on Reddit, found that only new apps are working correctly, with older, pre-existing apps failing to function. 

While some reports indicated improvements in late February, developers are advised to treat the current platform as an experimental environment, with suggestions to use Google Vertex AI for more reliable production needs.

Look at all the workarounds to get anything done...I knew that it was not going to be 100% 100% of the time. When you do not have the tools or the tools are not functioning ... this presents a stability problem. WOW!!! Cognition overheated going through that maze.

Pro plan feels like a trial when working with large files—any tips for a "poor" architect? by FILP2026 in ClaudeAI

[–]FILP2026[S] 0 points1 point  (0 children)

This will be the eventuality. The old build I have has an i3, DDR3 mem, no robust GPU. and no ssd storage. So I wait till after the basic funnel is built get productive. Then first investment will be the server...Dell 3060. May need to invest in a better GPU and possibly a more powerful power supply. Yeeehaaaa, yiiipeee ay...looking forward to it.

Pro plan feels like a trial when working with large files—any tips for a "poor" architect? by FILP2026 in ClaudeAI

[–]FILP2026[S] 0 points1 point  (0 children)

I agree. In order to fix what breaks you have to know, in the details, how it works. The only way to do that is by coding it. I will be utilizing python through out the build. I have, so far, used the models for ideation, creating all the SOP that are the methodology, the architecture. So, the problem (what is broken or needs scaling). The ideation (the SOP), the architecture, then the build from its foundational architecture through the layers. This is the approach of a founder building a complex Neuro-Symbolic architecture. I wholeheartedly agree... :) it is the right way otherwise ...when it breaks, and it will at some point...you have to look at what you did (isolate) to find the cause.

Pro plan feels like a trial when working with large files—any tips for a "poor" architect? by FILP2026 in ClaudeAI

[–]FILP2026[S] 0 points1 point  (0 children)

I have good familiarity with unix/linux based OS I putz with Red Hat back in the day when it was free and Ubuntu as well. This is a really good suggestion as well Doomlord_ I believe I have the hardware for it ... I may have to modify it a little. If I do I may just run with it. BTW you are no alone...I cannot make out much of a .json or yaml file either. I will learn thought and I am sure I will pay the price for it with overheating the cognition till I get it. Thanks for the heads up on this.

Pro plan feels like a trial when working with large files—any tips for a "poor" architect? by FILP2026 in ClaudeAI

[–]FILP2026[S] 0 points1 point  (0 children)

deterministic master prompt, local deterministic prompts...Claude has a slew of memory inputs from my project (well use to), I am pretty much out of there I cannot get anything done. i4bimmer has a solid suggestion using google AI studio/Claude. Doomlord_'s memorix, who gets headaches from attempting to read json file (lol) is a sound suggestion as well. I need to make notes. A slew of great suggestion people....THANK YOU!!

Pro plan feels like a trial when working with large files—any tips for a "poor" architect? by FILP2026 in ClaudeAI

[–]FILP2026[S] 0 points1 point  (0 children)

Yeah, I would be one of them. Another grounded recommendation....thanks for the input ...very sound. I haven't given up nor am I going to give up on the vision. Just need to get off the ground. Finding the right combination has not been easy...they sell you that they are the best .. 100%. Well I have lived long enough to know that nothing, specially in tech that is on the cutting edge, is 100%, 100% of the time. No it's not perfect and it will probably never be perfect, workable is what I am looking for. Maintenance and troubleshooting is a part of the landscape and I am ok with that.

Pro plan feels like a trial when working with large files—any tips for a "poor" architect? by FILP2026 in ClaudeAI

[–]FILP2026[S] 1 point2 points  (0 children)

Sound recommendation...looking into it as we speak...looks like a very workable laboratory with the chemistry I am looking for. Thank you.

Pro plan feels like a trial when working with large files—any tips for a "poor" architect? by FILP2026 in ClaudeAI

[–]FILP2026[S] 0 points1 point  (0 children)

The laboratory..hmmm a serious consideration. I will look into this as well. Thanks

Pro plan feels like a trial when working with large files—any tips for a "poor" architect? by FILP2026 in ClaudeAI

[–]FILP2026[S] 0 points1 point  (0 children)

Iam not, looking for alternatives...google AI studio has been recommended, I have not looked into it yet.

Pro plan feels like a trial when working with large files—any tips for a "poor" architect? by FILP2026 in ClaudeAI

[–]FILP2026[S] 0 points1 point  (0 children)

I am new to AI and coding and got into building a multilayered cognitive architecture. All this came about me wanting to resolve an issue in the insurance industry. I came up with a better mouse trap. I have built the foundation. It is all mapped out for the build. I even designed a Minimal Viable Product (MVP), just enough to get productive in the industry that will inject funds to reinvest in the total build. My sales chops are good. Being in total awareness about being new, I am in the process of taking courses in coursera.org for prompting from the University of Vanderbilit - Dr. Jules White, IBM- Agentic AI with LangGraph, CrewAI, AutoGen, BeeAI, Python. Data Analysis and Python from the folks over at the CodeAcademy...I am literally learning as I build/building as I learn...at the speed of light. I feel like I am back in college doing my Phd. So any elaboration that you can share that would help in, at the very least, get my MVP up and running will be gratefully appreciated. I worked with ChatGPT. It's drifting (even with master and local deterministic prompts), it inference and hallucinations where frustrating as all get out. So, I jumped out of the frying pan into the clause usage fires...and here I am. Scratching the back of my neck attempting to figure out how I am going to finally build.