I’ve been experimenting with Anthropic’s prompt engineering recommendations, and one thing became clear: prompt engineering is mostly about reducing ambiguity, not writing “smarter” prompts. The six techniques (context, examples, constraints, task decomposition, reasoning, and role assignment) noticeably improve consistency and make model behavior much more predictable. Worth reading if you’re building LLM applications. https://www.anthropic.com/learn Has anyone found other prompting patterns that consistently outperform these in production? submitted by /u/jeann1977
Originally posted by u/jeann1977 on r/ClaudeCode
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