Prompt Engineering
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From Prompting to Understanding LLMs
Like most developers, my initial experience with LLMs was pretty straightforward. I made API calls, experimented with prompts, tweaked instructions, and tried to get better responses from the model. Most of my focus was on the application side: how to integrate an LLM, structure prompts, and use the responses to build useful features. The model… Continue reading
AI, ai-architecture, ai-engineering, ai-infrastructure, application-development, Artificial Intelligence, ChatGPT, developer-learning, generative-ai, inference-engineering, large language models, llm, LLM, AI, Artificial Intelligence, LLM Inference, Generative AI, Large Language Models, Software Development, Application Development, AI Engineering, Prompt Engineering, Machine Learning, Open-Weight , llm-inference, Machine Learning, open-weight-models, Prompt Engineering, rag, self-hosted-llms, Software Development, technology -
Over-Prompting Is the New Overengineering
AI is great at getting you started—but terrible at knowing when to stop. Most developers fall into the trap of over-prompting, chasing perfect output while burning time, tokens, and patience. The real skill isn’t better prompting—it’s knowing when to stop asking and start editing. Continue reading
AI, AI limitations, AI Tools, automation, build in public, cost optimization, Developer Productivity, developer workflow, diminishing returns, editing vs prompting, efficiency, human in the loop, large language models, overprompting, productivity, Prompt Engineering, Software Development, Tech Trends, token usage, workflow optimization -
Why Prompt Engineering Isn’t a Reliable Skill
Prompt engineering is tweaking inputs to get desired outputs from AI models like ChatGPT. It’s not engineering—it’s trial and error. Why Prompt Engineering Falls Short: 1. No Foundational Principles: Unlike engineering, it lacks structured techniques or frameworks. It’s about guessing, not systematic problem-solving. 2. Unpredictable and Non-Reproducible: A prompt that works today can fail tomorrow.… Continue reading
