What Is Prompt Engineering? A Practical Guide to Context Engineering and KV Cache
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Prompt engineering started as a narrow craft and then grew into a much bigger idea. At first, it just meant learning how to write better instructions so a model would give better answers. That is still part of the job. But once people started building real AI agents, the question got bigger. It was no longer just about the wording of the prompt. It became about what context the model sees, what tools it can use, what history it should remember, and how to keep all of that stable enough to run…
1Key Takeaways
- Prompt engineering started as a narrow craft and then grew into a much bigger idea.
- At first, it just meant learning how to write better instructions so a model would give better answers.
- But once people started building real AI agents, the question got bigger.
- It was no longer just about the wording of the prompt.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that prompt engineering started as a narrow craft and then grew into a much bigger idea.
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