BlogsAnthropicInfrastructure Reliability and Quality Assurance

Infrastructure Reliability and Quality Assurance

Infrastructure Reliability and Quality Assurance

2
posts
2025

Anthropic is committed to ensuring the consistent quality and reliability of Claude across various platforms and hardware configurations. This involves rigorous infrastructure management, advanced debugging techniques, and continuous improvement of evaluation and monitoring processes to prevent and quickly resolve issues that could degrade model performance. The focus is on maintaining high standards for model output regardless of deployment environment, and developing robust systems that can de. This includes the introduction of sandboxing for Claude Code, utilizing OS-level primitives like Linux bubblewrap and macOS seatbelt to enforce filesystem and network isolation. This significantly reduces permission prompts, enhances security against prompt injection, and allows Claude to operate more autonomously. A new open-source sandbox runtime has been released to facilitate the building of safer agents, and Claude Code on the web now executes sessions within an isolated sandbox for enhanced security.

2025

Making Claude Code more secure and autonomous with sandboxing

10/20/2025

Introduced sandboxing for Claude Code to enhance security and autonomy. Implemented filesystem isolation to restrict access to specific directories and network isolation to control outbound connections. Leveraged OS-level primitives (Linux bubblewrap, macOS seatbelt) for enforcement. Developed an open-source sandbox runtime for broader agent development. Launched Claude Code on the web with sessions running in an isolated sandbox, featuring a custom proxy for secure git interactions.

A postmortem of three recent issues

9/17/2025

This post details three specific infrastructure bugs that intermittently degraded Claude's response quality between August and September. It explains the root causes, including misrouting to servers configured for a larger context window, a misconfiguration during token generation causing unexpected character outputs, and a latent bug in the XLA:TPU compiler triggered by a sampling code rewrite. The post also discusses the challenges in detection and diagnosis due to overlapping issues, inconsistent behavior, and privacy constraints, and outlines improvements to evaluation sensitivity, continuous quality checks, and debugging tooling.