Hand-tuned prompts break on the next model upgrade and don't compose across pipeline stages. Frameworks like DSPy compile prompts against a metric instead. The signal is treating prompting as an optimized program. Here is the answer.
Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.
Hand-tuned prompts break on the next model upgrade and don't compose across pipeline stages. Frameworks like DSPy compile prompts against a metric instead. The signal is treating prompting as an optimized program. Here is the answer.
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