"Technical Bugs Plague Claude AI, Sparking Trust Crisis in AI Reliability"

Anthropic has confirmed the existence of technical bugs affecting the performance of its Claude AI models, following weeks of complaints from developers and users about a decline in code generation quality. The issues, first reported in late August 2025, have drawn significant attention on platforms such as Reddit, X, and YouTube, with users describing the model’s behavior as erratic and inconsistent with previous performance levels.

Numerous developers have highlighted problems with the model’s ability to produce accurate and reliable code. Specific concerns included instances where Claude allegedly ignored its own plan, made incorrect modifications to code, or failed to execute expected method calls during testing. These issues have led some users to describe the situation using phrases such as “Claude has lost its mind” and “has gotten much worse.” The community has offered various explanations for the performance degradation, ranging from the intentional “throttling” of the model’s capabilities to the use of less reliable quantized versions of the model or even user-related factors such as context rotation in long conversations.

In response to these growing concerns, Anthropic acknowledged the existence of technical issues and confirmed that it has already addressed two specific bugs affecting the Claude Sonnet 4 and Haiku 3.5 models. Additionally, the company is currently investigating reports of output quality concerns in its most advanced model, Claude Opus 4.1. The issues reportedly impacted multiple platforms, including the Claude.ai interface, the developer console, the API, and the dedicated Claude Code tool.

The company emphasized the importance of user feedback in identifying and prioritizing these issues, expressing gratitude to the community for helping to improve the service. Anthropic also reiterated that the performance decline was not intentional and was attributed to “unrelated bugs.” The ongoing investigation into the quality of Claude Opus 4.1 highlights the need for continued improvements in communication with developers, especially during periods of service instability. This incident has reignited broader discussions around the need for greater transparency from AI companies regarding model performance and updates.

The current situation echoes similar complaints from the past, such as those reported in August 2024 regarding GPT-4, where users claimed a decline in model performance. While OpenAI denied making intentional changes to degrade the model, the debate often revolved around shifting user expectations as the initial novelty of the models wore off. The case of Claude demonstrates that, in some instances, performance issues may stem from underlying technical problems rather than mere user perception. As AI tools become increasingly integrated into critical workflows, maintaining trust and consistency in model performance will remain a central challenge for providers like Anthropic.