Agentic Design Patterns: The Shapes Every Coding Agent Reuses
📰 Dev.to AI
Learn agentic design patterns to optimize LLM calls and tools with model-agnostic decision rules and cost analysis
Action Steps
- Identify the task you want to solve using LLMs
- Apply the decision rule to choose an agentic design pattern
- Configure the chosen pattern to arrange LLM calls and tools
- Analyze the cost added by the pattern to ensure it's the minimum structure needed
- Test and refine the implementation to optimize performance
Who Needs to Know This
Software engineers, AI researchers, and developers can benefit from understanding agentic design patterns to improve the efficiency and scalability of their LLM-based systems
Key Insight
💡 Agentic design patterns provide a model-agnostic way to arrange LLM calls and tools, enabling developers to solve tasks with the minimum necessary structure
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Optimize LLM calls with agentic design patterns! Learn the decision rule, pattern shapes, and costs to match tasks with minimal structures #AI #LLMs #AgenticDesign
Full Article
This is an adapted excerpt from a guide in my AI Knowledge Hub. The full interactive version is linked at the end. Agentic design patterns are named control structures for arranging LLM calls and tools. This post gives you the decision rule for picking one, the exact shape of each pattern, and the cost each adds — so you can match a task to the minimum structure that solves it. Everything here is model-agnostic and grounded in Anthropic's Building Effecti
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