“prompt-engineering”
A/B Testing Agent Variants: Prompts, Models, and Context
Set up A/B testing for agent variants using LiteLLM to compare prompts, models, and context strategies with statistical rigor and production-ready infrastructure.
Prompting for Reliable Agents: The Four-Part Specification
Master the art of prompting for agentic coding with the four-part specification structure: Goal, Context, Constraints, and Done-When.
The "Persona-Shift" Pattern: Dynamic Expert Simulation in Gemini 3
A static persona limits an agent to one role. Learn the Persona-Shift pattern: dynamic expert switching in Gemini 3 agents that lets a single model act as planner, critic, and specialist across a workflow — without persona drift.
The Art of the Prompt: How to A/B Test Your Prompts in a Live Application
Discover how to systematically improve your LLM applications by implementing A/B testing for prompts in a live environment.
Unit Testing Your Prompts: Strategies for Reliable AI Outputs
Prompts are code. If they are code, they must be tested. Learn how to apply standard unit testing principles to your LLM prompts for reliable AI features.
Prompt Engineering 101: How to Talk to LLMs and Get the Code You Want
Master the art of prompt engineering to improve your AI-assisted coding workflow. Learn practical techniques to get better code, faster.