What's the difference between prompt engineering and traditional programming?
Programming relies on deterministic instructions; prompt engineering guides a probabilistic system. With code, correctness is binary; with prompts, success is a distribution you shape via constraints, examples, and evaluation. Yet the disciplines overlap: both require decomposition, testing, and documentation. Treat prompts like code—version them, review them, and measure results. The shift is mindset: embrace uncertainty, design for verification, and keep humans in the loop where stakes are high.
In practice
Borrow software habits: PRs for prompts, checklists for reviews, and automated tests against a fixture set.
Where to start
- [01]Put prompts in git with owners and change history.
- [02]Create a tiny unit-test style eval set for each prompt.
- [03]Define acceptance criteria before shipping.
- [04]Budget for maintenance—prompts drift as models change.
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