[HN Gopher] Prompt Engineering: From Zero to Hero
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       Prompt Engineering: From Zero to Hero
        
       Author : blackpc
       Score  : 10 points
       Date   : 2025-07-13 16:44 UTC (6 hours ago)
        
 (HTM) web link (promptz2h.com)
 (TXT) w3m dump (promptz2h.com)
        
       | 9dev wrote:
       | I am sorry to be the bearer of bad news, but the AI hype train
       | has already left prompt engineering in the dust and driven on to
       | the great central _context engineering_ station.
        
         | dSebastien wrote:
         | The main problem with books lagging behind "now" is almost
         | solved
        
         | tptacek wrote:
         | I don't think this is generally true, though maybe I'm just
         | missing the semantic drift. "Context engineering" as I'm
         | familiar with it is something you do when you're building your
         | own agent loops, not simply strategies for how to get the best
         | response from a chatbot.
        
           | tehemperorer wrote:
           | The chatbot forgets once the context tokens are used up. How
           | do you engineer a solution, then, that ensures that the
           | chatbot never forgets?
        
           | InterviewFrog wrote:
           | "Context Engineering" is all the rage now. Picked up by AI
           | Influencers.
           | 
           | Basically you give context to the AI models. Like if you want
           | to build a social network you give the AI all the
           | documentation around it so it can follow the best practices
           | and guidelines etc.
        
       | ianbicking wrote:
       | I'm confused, where's the content?
       | 
       | For instance I looked in Meta-Cognitive Techniques and it
       | mentions "Articles in This Series" but the list doesn't have any
       | links...?
       | 
       | https://promptz2h.com/chapter_03_advanced_prompting_techniqu...
        
         | sshine wrote:
         | Oh, the content? It's coming soon!                   Article
         | 16: The Anatomy of a Good Prompt in 2025 (Coming Soon)
         | Article 17: Zero-Shot Prompting: The Foundation (Coming Soon)
         | Article 18: Few-Shot Prompting: Learning from Examples (Coming
         | Soon)         Article 19: The Power of Instructions: Clarity
         | and Precision (Coming Soon)         Article 20: Using Personas
         | and Role-Playing Effectively (Coming Soon)         Article 21:
         | The Art of Prompt Formatting and Delimiters (Coming Soon)
         | Article 22: System Messages vs. User Messages: Best Practices
         | (Coming Soon)         Article 23: Prompt Chaining and
         | Sequential Reasoning (Coming Soon)         Article 24: The Art
         | of Iteration: Refining Your Prompts (Coming Soon)
         | Article 25: A/B Testing Your Prompts for Optimal Performance
         | (Coming Soon)         Article 26: The Impact of Prompt Length
         | on Response Quality (Coming Soon)         Article 27: How to
         | Deal with "I don't know" Responses (Coming Soon)
         | Article 28: Common Prompting Mistakes to Avoid (Coming Soon)
         | Article 29: Techniques for Reducing Bias in LLM Outputs (Coming
         | Soon)         Article 30: Understanding and Working with Model
         | Limitations (Coming Soon)
        
       | tehemperorer wrote:
       | Prompt engineering was never a thing, sorry. Anyone that got paid
       | as one certainly rode the hype train funded by people who didn't
       | understand what they were paying for.
        
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       (page generated 2025-07-13 23:02 UTC)