Loop Engineering: Designing Systems That Prompt

<!-- SC_OFF --><div class="md"><p>A quick summary:</p> <p>Prompt engineering optimizes a prompt.<br /> Context engineering optimizes a context window.<br /> Harness engineering

<p><strong>Reader change:</strong> Instead of repeatedly typing “What now?” the reader learns to design a loop that specifies an activation trigger, an observable numeric stop

<!-- SC_OFF --><div class="md"><p>(AI Was not used for generating the below post)</p> <p>I've been developing with AI for over 3 1/2 years now, my AI DM setting operation which

<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1sm6gmv/ai_can_now_design_and_run_biological_experiments/"> <img alt="AI can now design and run biological

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<!-- SC_OFF --><div class="md"><p>I tested 10 common prompt engineering techniques against a structured JSON format across identical tasks (marketing plans, code debugging, legal

There&#8217;s talk about loop engineering, but what is it exactly? I looked into it, and found triggers, cron jobs, AI slop & more. Is it a &#8220;here today, gone tomorrow&#8221;

&#32; submitted by &#32; <a href="https://www.reddit.com/user/sdxyz42"> /u/sdxyz42 </a> <br /> <span><a