
Artificial Intelligence
Integrating LLMs: Patterns That Hold Up in Production
Practical patterns for reliable, cost-efficient LLM features: prompt engineering, streaming, structured outputs, fallbacks and cost management.
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Practical patterns for reliable, cost-efficient LLM features: prompt engineering, streaming, structured outputs, fallbacks and cost management.

A practical guide to prompts that produce reliable, production-quality code: structured prompting, few-shot examples, chain-of-thought and evaluation.

Systematic prompt engineering for production LLM applications: structured output extraction, chain-of-thought, few-shot calibration, versioning and evals.

Practical prompt engineering techniques that turn LLMs into reliable coding assistants — covering context management, chain-of-thought, and structured outputs.