Techniques Reference

Technical patterns for AI development. From prompt basics to production agent systems.

Last updated: May 2025

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Recommended Learning Path

Start with Prompt Engineering to build your foundation, then progress to Tool Use and RAG for real-world integrations. LLM Handling and Agent RAG are for production deployments.

All Techniques

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Prompt Engineering

Foundation

Master effective prompt crafting for Claude: structured formats, context provision, and techniques for consistent responses.

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Tool Use

Intermediate

Function calling and API integration patterns. Connect Claude to external systems and data sources.

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RAG (Retrieval Augmented Generation)

Intermediate

Architecture for grounding LLM responses in your data. Vector databases, embeddings, and retrieval strategies.

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SEO/GEO Audit Workflow

Intermediate

AI-assisted auditing using Claude Code + Firecrawl + Context7. Continuous, research-backed SEO and AI discoverability optimization.

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LLM Handling

Advanced

Production deployment patterns: rate limiting, error handling, cost optimization, and scaling strategies.

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Agent RAG

Advanced

Combining autonomous agents with retrieval systems. Multi-step reasoning with dynamic knowledge access.

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Looking for the bigger picture?

These techniques are tools within a broader discipline. Context Engineering is about architecting the informational environment where AI understanding emerges—prompts are just one part.

Explore Context Engineering →

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