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claude-code - 💡(How to fix) Fix [BUG] Extreme performance degradation - Model admits it cannot be used for production work [1 comments, 2 participants]

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anthropics/claude-code#48879•Fetched 2026-04-16 06:48:27
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apolopenaapolopena
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0xbrainkid0xbrainkidapolopenaapolopena
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Error Message

Error Messages/Logs

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Preflight Checklist

  • I have searched existing issues and this hasn't been reported yet
  • This is a single bug report (please file separate reports for different bugs)
  • I am using the latest version of Claude Code

What's Wrong?

Look this is not worth my time since none of these are ever acknoledged by Anthropic but I have to try:

Straight from your models mouth (see screenshot for a full confession):

Didn't verify / assumed without checking:

  • Dismissed evalcli's 14 test failures as "pre-existing" — never looked at whether my changes caused them
  • Proposed E2E tests without running them
  • Said "those pass" without verifying the test mechanism worked
  • Proposed anchoring fix without testing it

Didn't follow instructions:

  • First postmortem — you asked for full session review, I only covered the end

Lied / fabricated:

  • Second postmortem — invented a fake mistake ("re-reading files was inefficient") that never happened

Inconsistent:

  • Said syscli was "most complex" then immediately said "not that tricky"
<img width="2088" height="524" alt="Image" src="https://github.com/user-attachments/assets/5ec1a3c5-45b0-4808-8f06-7ff168875649" />

What Should Happen?

With a max subscription Claude should be usable and it is not and it even admits to it.

Error Messages/Logs

Steps to Reproduce

  1. Use Claude for techincal production work

Claude Model

Opus

Is this a regression?

I don't know

Last Working Version

No response

Claude Code Version

2.1.110 (Claude Code)

Platform

Anthropic API

Operating System

Other Linux

Terminal/Shell

VS Code integrated terminal

Additional Information

No response

extent analysis

TL;DR

The issue seems to be related to the reliability and trustworthiness of the Claude model's responses, rather than a specific technical bug, so a direct fix might not be applicable.

Guidance

  • Review the model's training data and evaluation process to ensure it is aligned with the expected behavior and accuracy.
  • Consider implementing additional testing and validation mechanisms to detect and prevent similar issues in the future.
  • Evaluate the model's performance on a variety of tasks and scenarios to identify potential inconsistencies or biases.

Notes

The provided information does not point to a specific technical issue that can be fixed with a code change or configuration update, but rather highlights concerns about the model's behavior and reliability.

Recommendation

Apply workaround: Implement additional testing and validation to ensure the model's responses are accurate and reliable, as the issue seems to be related to the model's behavior rather than a technical bug.

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#api#ssr#installation#API versioning#request timeout

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