Prompt, Context, Harness, Loop, Forward Engineering... What's the Difference?

<!-- 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

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

<p>Imagine you have a super-smart assistant. This assistant can write stories, create images, or even help plan your day. All you have to do is tell it what you want. You don't

<!-- SC_OFF --><div class="md"><p>Feels like a lot of what people call “AI agents” are just structured prompt chains with better branding.</p> <p>If it’s a fixed sequence of steps

<!-- SC_OFF --><div class="md"><p>Since prompt engineering questions are showing up in interviews for roles like data engineer, AI engineer, and software engineer, it helps to

<!-- SC_OFF --><div class="md"><p>So I'm looking in these files and I see a huge dump. It seems like there's the entire base instruction. Is this already open source or am I

<!-- SC_OFF --><div class="md"><p>For years I assumed bad AI output was just a sign that the model was not good enough. I kept trying different prompts, testing different GTPs,

<!-- SC_OFF --><div class="md"><p>Drowning in research papers — what AI tools help you make sense of clinical / research data?</p> <p>I work in healthcare space and regularly need