# Evolving Engineering in AI building and adoption — designpattern.fyi

> How AI engineering disciplines — feature, prompt, harness, loop, ontological, fleet, context, and forward-deployed — rewrote the discipline of building software with AI

- **Section**: Evolving Engineering in AI building and adoption
- **Canonical URL**: https://designpattern.fyi/evolving-engineering-ai/

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## Patterns in this Category


### [Feature Engineering](https://designpattern.fyi/evolving-engineering-ai/feature-engineering/)
- **Summary**: Transforming raw data into predictive power — signal extraction, feature construction, and the foundation of ML systems



### [Prompt Engineering](https://designpattern.fyi/evolving-engineering-ai/prompt-engineering/)
- **Summary**: English is a new programming language — precision in natural language, in-context instruction, and single-turn optimization



### [Harness Engineering](https://designpattern.fyi/evolving-engineering-ai/harness-engineering/)
- **Summary**: Designing everything around an AI model — tools, memory, sandboxing, guardrails, and observability for production agents



### [Loop Engineering](https://designpattern.fyi/evolving-engineering-ai/loop-engineering/)
- **Summary**: Engineering patterns for agent loops — goal loops, interval loops, event-driven loops, and governance controls for autonomous agents



### [Fleet Engineering](https://designpattern.fyi/evolving-engineering-ai/fleet-engineering/)
- **Summary**: Agent orchestration at scale — deployment, monitoring, coordination, and governance for managing dozens to hundreds of agents



### [Agentic Context Engineering](https://designpattern.fyi/evolving-engineering-ai/agentic-context-engineering/)
- **Summary**: Building self-improving AI systems — context-based learning, playbook curation, and alternatives to fine-tuning



### [Forward Deployed Engineering](https://designpattern.fyi/evolving-engineering-ai/forward-deployed-engineering/)
- **Summary**: Shift left to accelerate tangible business impact — embedding engineers in customer environments for real-world deployment




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- **llms.txt**: https://www.designpattern.fyi/llms.txt
