Tagged prompt-engineering
6 essays
- Context engineering is the design surface Prompt engineering treats the words as the lever. Context engineering treats the whole context window as the design surface, with a stage and an artifact for each step. It's the better abstraction for production work.
- Stop micromanaging your AI Most people prompting models have quietly become managers - and they're managing badly. The fix is to build systems for context, not to craft better one-off prompts.
- Chain of thought, and where it breaks Asking a model to reason step by step reliably improves its answers. The catch most advice skips: in a production app, that visible reasoning is often the last thing you want.
- Prompt chaining: split the work, raise the floor Asking a model to do one complex thing in a single call invites failure. Breaking it into a chain of focused calls makes each step more reliable and easier to debug.
- Simple prompting: less magic, more method After thousands of prompts in production, the lesson is that prompt engineering isn't about magic words. It's clear thinking and structured communication, and it reduces to three principles.
- Prompting with frameworks the model already knows Structure your prompts the way a consultant structures a brief, then borrow a framework the model was trained on. You give it a running start instead of describing every step.