Engineering at Anthropic: Inside the team building reliable AI systems

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Designing AI-resistant technical evaluations

What we learned from three iterations of a performance engineering take-home that Claude keeps beating.

Demystifying evals for AI agents

Effective harnesses for long-running agents

Introducing advanced tool use on the Claude Developer Platform

Code execution with MCP: Building more efficient agents

Beyond permission prompts: making Claude Code more secure and autonomous

Equipping agents for the real world with Agent Skills

Multi-agent orchestration: Patterns and best practices