claude ai-agents developer-tools token-management

I Cancelled Claude: Token Issues, Declining Quality, and Poor Support

nickyreinert.de

April 24, 2026

6 min read

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75/100

Summary

Initial experiences with Claude Code were positive, featuring fast performance, a fair token allowance, and good quality. However, issues with poor support and declining quality have led to dissatisfaction over the past three weeks.

Key Takeaways

The user experienced a decline in quality and support from Claude after an initial positive experience, with token usage spiking unexpectedly.
The AI support system provided unhelpful, automated responses that did not address the user's specific issues.
The model's performance deteriorated, leading to unsatisfactory results and inefficient coding practices, such as suggesting workarounds instead of proper solutions.
The conversation cache issue caused inconvenience, as it required the model to re-read the codebase, impacting the user experience negatively.

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Analysis ready

Community Sentiment

Mixed

Positives

Local AI solutions are becoming increasingly feasible, offering users more control and reducing dependency on proprietary models.
Some users find Claude Opus effective for their workflows, indicating that the technology is close to meeting their needs without hitting usage limits.
The competition among AI models is fierce, with many users finding alternatives like Codex or Kimi k2.6 to be effective and cost-efficient.

Concerns

Users express concerns about dependency on proprietary GenAI products, fearing sudden changes in access or pricing could disrupt their workflows.
Many users report issues with token limits and API errors, suggesting that the current pricing structure may not be sustainable for high usage.
There are worries that AI companies prioritize high token usage over user satisfaction, leading to frustration and inefficiencies in model performance.