Three AI habits that stuck
Not tools. Not tricks. Habits. The small changes in how I work that survived past the first week.
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I was bad at prompting for a long time. This is the first one that got me a result I could ship.
For weeks I was writing prompts like how do I fix this bug, and getting back answers that were technically correct but not useful.
The prompt that broke through was ugly and long. I pasted the file I was editing, the error I was seeing, what I had already tried, what I thought the cause was, and what a correct fix would look like in plain English.
The answer I got back was not magic. It was just a lot better because the model had enough context to reason. I realized I had been treating the model like a search engine instead of like a colleague who had just walked into the room.
Since then, my prompts have gotten longer, not shorter. I include the constraint, the past attempt, and the shape of the answer I want. I get better results and I spend less time arguing with the model.
Not tools. Not tricks. Habits. The small changes in how I work that survived past the first week.
Read postAn intro to who I am, what I'm learning, and why I'm writing this in public instead of in a private notebook.
Read postServer components, client components, layouts, and why the file names mean what they mean. Written in the order things actually clicked for me.
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