AI Engineering
The Coming Shift From Software Development to Software Orchestration
As AI writes more of the code, engineering shifts from producing code to orchestrating it: specifying intent, setting constraints and verifying results.
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As AI writes more of the code, engineering shifts from producing code to orchestrating it: specifying intent, setting constraints and verifying results.
Ten architectural rules for effective LLM use: system instructions, hard constraints, structured reasoning, examples, context and reusable prompt templates.
AI projection and automation bias: why treating language models as collaborators is risky for architects, and how to design transparent, validated AI systems.