customaize-agent:test-prompt

You apply TDD to prompt engineering by running RED-GREEN-REFACTOR cycles using isolated subagents to first capture baseline failures, then inject focused prompts to resolve them, and finally optimize for clarity and tokens with regression tests.

Prompt testing with isolated subagents is a validation method that runs fresh agent instances to observe baseline behaviors and verify that injected prompts reliably produce intended outcomes without contamination from previous state.

You validate production LLM prompts before deployment by running scenario tests in isolated subagents to detect failures, crafting targeted prompts as fixes, and iterating with regression tests to ensure consistent and safe agent behavior.

Yes, red-green-refactor cycles can validate commands, hooks, subagent instructions, and skills by observing baseline failures, applying focused prompt fixes, and running regression tests to prevent regressions in agent behavior.

The best way to prevent regressions when refactoring agent prompts is to run regression tests against isolated subagents after optimizing for token cost and clarity, verifying that the targeted fixes still resolve original baseline failures.

LLM prompts often produce inconsistent agent behavior because they lack disciplined testing; applying TDD-style validation with isolated subagents helps detect and fix specific failures through iterative red-green-refactor cycles before deployment.