The new rules of context engineering for Claude 5 generation models
Anthropic discusses the evolution of context engineering for Claude 5 models, noting that they significantly reduced system prompt length without sacrificing performance. The article provides best practices for developers to optimize their own agent prompts.
Why it matters
As LLMs become more capable, the shift from 'prompt engineering' to 'context engineering' is becoming a critical skill for developers building AI-powered applications.
We removed over 80% of Claude Code's system prompt for more advanced models. How to apply the lessons we learned to your own context engineering in Claude Code and with your own agents.
Category Claude Code Agents Product Claude Code Claude Enterprise Claude Platform Date July 24, 2026 Reading time 5 min Share Copy link https://claude.com/blog/the-new-rules-of-context-engineering-for-claude-5-generation-models I’ve written previously about how to best prompt the newest generation of Claude 5 models and work with them iteratively to discover what you want to build.
But when you send a message to Claude, the prompt is only a small part of the context it gets. Much of your context is assembled from your system prompt, Skills, CLAUDE.md files, memory, and other sources. We call this context engineering , and it makes a big impact on the results you generate when using Claude Code or in building your own agents.
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