https://www.fernandoux.com/tags/iteration/Recent content in Iteration on Fernando RuizHugoen-ushttps://www.fernandoux.com/en/wiki/ai/iterating-with-prompts/Mon, 01 Jan 0001 00:00:00 +0000https://www.fernandoux.com/en/wiki/ai/iterating-with-prompts/<div class="info-panel"> <div class="info-header"> <span class="material-symbols-outlined info-panel-icon">info</span> <span class="info-panel-label">Quick Definition</span> </div> <div class="info-content"> <strong>Iterating with prompts</strong> means building something with an AI in small steps: ask for a change, check it, correct it if needed and move on. It keeps you in control because each step can be reviewed and, if something goes wrong, undone. </div> </div> <h2 id="why-does-asking-for-everything-at-once-go-wrong">Why does asking for everything at once go wrong?</h2> <p>A long prompt with ten requirements produces a result that is hard to review. If something fails, you do not know which part caused it. And if you correct it by asking for something else on top, the AI works with a more confused context. Anthropic&rsquo;s Claude Code guidance summarizes it this way: the context window is the most important resource to manage, and performance degrades as it fills. A session full of irrelevant information can make the AI forget earlier instructions or make more mistakes (<a href="https://code.claude.com/docs/en/best-practices">Anthropic, Claude Code best practices</a>).</p>