<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Prompt on Software Factory</title><link>/tags/prompt/</link><description>Recent content in Prompt on Software Factory</description><generator>Hugo</generator><language>en</language><atom:link href="/tags/prompt/index.xml" rel="self" type="application/rss+xml"/><item><title>Prompt Engineering</title><link>/use/practices/genai/prompt/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>/use/practices/genai/prompt/</guid><description>&lt;h2 id="introduction"&gt;Introduction&lt;a class="td-heading-self-link" href="#introduction" aria-label="Heading self-link"&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;Designing effective prompts and providing well‑structured context are
essential to ensuring that coding assistants generate accurate, secure,
and high‑quality outputs for software engineers. Effective
prompts act as the “specification layer” of AI interactions: they define
the micro‑task, the boundaries, and what “done” means, so the assistant
can generate &lt;strong&gt;reviewable, testable changes&lt;/strong&gt; instead of confident
guesses. A well‑designed prompt turns the assistant into a &lt;strong&gt;precision
tool&lt;/strong&gt; embedded in an engineering workflow (review, tests, CI), not a
generative engine operating without guardrails.&lt;/p&gt;</description></item></channel></rss>