Anthropic's Claude Code suffered a month-long performance drop due to engineering errors, threatening the AI assistant's reputation among developers

Claude Code, Anthropic's AI coding assistant that had become developers' preferred tool, experienced degraded performance (slower responses, reduced accuracy) for approximately one month after weeks of user complaints. The company attributed the decline to internal engineering mistakes rather than external attacks or system overload.

The performance issues threatened Anthropic's $30 billion valuation and the goodwill it had built with the developer community—the group most likely to pay for or recommend AI coding tools. When developers lose trust in a tool they rely on daily, they typically switch to competitors like GitHub Copilot or other alternatives.

For developers and companies using Claude Code, this month of degraded performance meant slower code generation, more manual fixes needed, and frustration with a tool they had started to depend on. For Anthropic, the incident exposed that even high-profile AI products can suffer from preventable operational failures, raising questions about the company's engineering rigor as it scales.