Why does Cursor become less “smart” after a few hours of heavy agent use? (Pro vs Pro+ clarity needed)

Discussions
1

Hi everyone,

I’ve been using Cursor Pro daily for AI-agent development (building and testing autonomous coding agents).
Typically, I let the agent run on “auto” mode and generate or refactor around 30–40K lines of code per day.

Here’s what I’ve noticed:

  • At the beginning of the day, Cursor feels super sharp — smart code edits, perfect refactors, minimal bugs.

  • After a few hours, it suddenly becomes dull: shorter, less coherent responses, frequent logic mistakes, even missing context entirely.

It really feels like the model silently downgrades after some quota or token cap is reached.

My questions:

  1. Does the Pro plan have a hidden daily or monthly token limit for GPT-4 / Claude usage?

  2. What’s the real difference between Pro and Pro+?
    The website just says “higher usage,” but doesn’t specify how much more.

  3. For heavy AI-Agent workflows (tens of thousands of lines per day), is Pro+ enough — or do we need to bring our own API keys to stay on high-end models all day?

  4. Any way to verify when Cursor switches models (e.g., to Claude Instant or GPT-3.5)?

Context:

I’m an AI workflow developer working on agentic systems (multi-file refactoring, test generation, autonomous loops).
It’s fine if usage is limited — I just want transparent info so I can plan whether to upgrade or connect my own API keys.

Thanks! Would love to hear from the Cursor team or other heavy users who’ve hit similar limits.

— Keven

2

I think I also noticed it is “dumbing” down after some time. I thought I am the only one imagining this.

3

Yeah, — I know the Pro plan is supposed to provide roughly $20 worth of GPT or Claude tokens, but I really wish there were a bit more transparency about how that limit is applied.

For example:

  • Is it a daily or rolling monthly cap?

  • Does Cursor automatically downgrade the model once you hit it?

  • And can we see usage stats somewhere (like token count or model switch logs)?

It’s fine if there are limits — I just want to understand when and how it happens, since it clearly affects the model quality after a few hours of heavy use.

I know from the dashboard it shows the $ amount for each calling but it also confusing to show “included“ for annual subscription…it may provide some sort of info alert showing certain models are limited unless I trigger pay as you go or something liket this