Specification Engineering: The New Skill After Prompt Engineering
For the last two years, people have learned to get better results from large language models (LLMs) by writing clearer prompts: add context, define the role, give examples, specify the format, and iterate. But as AI moves from chatbots to coding agents, research assistants, data science copilots, and autonomous workflows, "good prompting" is no longer enough. The new skill is specification engineering: the ability to define the goal, constraints, expected outputs, edge cases, tests, success criteria, and failure modes of an AI-assisted task.
- ▪For the last two years, people have learned to get better results from large language models (LLMs) by writing clearer prompts: add context, define the role, give examples, specify the format, and iterate.
- ▪But as AI moves from chatbots to coding agents, research assistants, data science copilots, and autonomous workflows, "good prompting" is no longer enough.
- ▪The new skill is specification engineering: the ability to define the goal, constraints, expected outputs, edge cases, tests, success criteria, and failure modes of an AI-assisted task.
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| Original publisher | KDnuggets |
| Canonical URL | https://www.kdnuggets.com/specification-engineering-the-new-skill-after-prompt-engineering |
| Publication time | Mon, 10 Aug 2026 14:00:00 +0000 |
| Retrieval time | 2026-08-10T14:00:45.031Z |
| Last seen | 2026-08-10T14:00:45.031Z |
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Opening excerpt (first ~120 words) tap to expand
For the last two years, people have learned to get better results from large language models (LLMs) by writing clearer prompts: add context, define the role, give examples, specify the format, and iterate. This is still useful. But as AI moves from chatbots to coding agents, research assistants, data science copilots, and autonomous workflows, "good prompting" is no longer enough. The new skill is specification engineering: the ability to define the goal, constraints, expected outputs, edge cases, tests, success criteria, and failure modes of an AI-assisted task. In simple terms: Prompt engineering is how you ask. Specification engineering is how you define what "done correctly" means. # Why Prompt Engineering Is Not Enough A prompt can produce a good-looking answer.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at KDnuggets.
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