23 May 202516 min read
Prompt Engineering for Production Systems
AI/MLPrompt EngineeringLLMBest Practices
Moving beyond playground prompts to production-ready prompt engineering. Version control, testing strategies, and prompt optimization techniques.
Prompt Engineering for Production Systems
Playground prompts don't survive production. The prompt that works perfectly in the ChatGPT interface often fails spectacularly when deployed at scale. Production prompt engineering is a discipline that combines software engineering rigor with iterative experimentation.
From Playground to Production
The Production Reality
What changes in production:
| Aspect | Playground | Production |
|---|---|---|
| Input variety | You control it | Users surprise you |
| Scale | Single requests | Thousands per minute |
| Cost | Free/cheap | Real budget impact |
| Reliability | "Good enough" | Must be consistent |
| Errors | You see them | Users see them |
Prompt Architecture
Structure prompts for maintainability:
interface PromptConfig {
name: string;
version: string;
systemPrompt: string;
userPromptTemplate: string;
outputSchema?: JSONSchema;
maxTokens: number;
temperature: number;
model: string;
}
const summarizationPrompt: PromptConfig = {
name: "document-summarizer",
version: "2.3.1",
systemPrompt: `You are a document summarizer for a legal tech platform.
Your summaries must be accurate, concise, and maintain legal terminology.
Never make up information not present in the source document.\