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Prompt Engineering Patterns

GPTClaudeDeepSeek··1,180 copies·updated 2026-07-14
prompt-engineering-patterns-3.prompt
# Prompt Engineering Patterns

## Overview

World-class prompt engineering patterns for senior prompt engineer.

## Core Principles

### Production-First Design

Always design with production in mind:
- Scalability: Handle 10x current load
- Reliability: 99.9% uptime target
- Maintainability: Clear, documented code
- Observability: Monitor everything

### Performance by Design

Optimize from the start:
- Efficient algorithms
- Resource awareness
- Strategic caching
- Batch processing

### Security & Privacy

Build security in:
- Input validation
- Data encryption
- Access control
- Audit logging

## Advanced Patterns

### Pattern 1: Distributed Processing

Enterprise-scale data processing with fault tolerance.

### Pattern 2: Real-Time Systems

Low-latency, high-throughput systems.

### Pattern 3: ML at Scale

Production ML with monitoring and automation.

## Best Practices

### Code Quality
- Comprehensive testing
- Clear documentation
- Code reviews
- Type hints

### Performance
- Profile before optimizing
- Monitor continuously
- Cache strategically
- Batch operations

### Reliability
- Design for failure
- Implement retries
- Use circuit breakers
- Monitor health

## Tools & Technologies

Essential tools for this domain:
- Development frameworks
- Testing libraries
- Deployment platforms
- Monitoring solutions

## Further Reading

- Research papers
- Industry blogs
- Conference talks
- Open source projects

when to use it

Community prompt sourced from the open-source GitHub repo foryourhealth111-pixel/Vibe-Skills (Apache-2.0). A "Prompt Engineering Patterns" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.

tags

codingcommunitydeveloper

source

foryourhealth111-pixel/Vibe-Skills · Apache-2.0