What programming languages are used in prompt engineering?
Most prompt work is natural language, but light scripting speeds iteration and deployment. Python is common for API calls, evaluation harnesses, and data prep; JavaScript is great for web apps and UI-driven flows. SQL helps build/test datasets for evaluation. If you’re orchestrating tools or RAG, you’ll likely touch vector databases and basic ETL. You don’t need to be a full-stack dev—being comfortable with small scripts and JSON schemas goes a long way.
In practice
Automate the boring parts—dataset assembly, batch testing, and report generation—so you can spend time on hard problems.
Where to start
- [01]Learn basic Python/JS for calling models and parsing results.
- [02]Adopt a JSON schema for structured outputs and validation.
- [03]Write a script to batch-test prompts over stored examples.
- [04]Store eval results so you can compare runs over time.
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