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4 articles
Practical patterns for building reliable, cost-efficient LLM-powered features — prompt engineering, streaming, structured outputs, fallbacks, and cost management.
A practical guide to crafting prompts that produce reliable, production-quality code from language models, covering structured prompting, few-shot examples, chain-of-thought reasoning, and evaluation strategies.
Systematic prompt engineering patterns for production LLM applications including structured output extraction, chain-of-thought reasoning, few-shot calibration, prompt versioning, and automated evaluation pipelines.
Practical prompt engineering techniques that turn LLMs into reliable coding assistants — covering context management, chain-of-thought, and structured outputs.