Prompting is everything in the age of vibe coding. Knowing how to guide AI precisely and efficiently is the key to getting the results you want. Today, I m sharing some of my favorite prompting tips, plus a handy cheatsheet I put together.
Prompting Tips That Actually Work
Be spatially specific. Use keywords like "left", "right", "centered", "aligned to bottom", "spaced evenly" to help the model place elements correctly.
Mention device behavior. If it should behave differently on mobile vs desktop, say so. Ex: "stacks on mobile, grid on desktop".
Use visual vocabulary. Mention familiar UI terms like "modal", "toast", "card", "hero section", or "split view" to tap into known design structures.
Give UX intent. Add the why: "Add white space for readability", "Add a hover effect for feedback", "Use a progress bar to show completion".
Sequence your ideas. For complex prompts, list in steps: "First, add a header. Below that, place a form with two inputs...". AI loves structure.
Say what not to do. If you want to avoid scrollbars, animations, shadows, etc., say so.
Don t forget empty states. Great design considers what happens when nothing is there say "show a placeholder when list is empty".
Test prompt variants. Swap words like "tile" vs "card", "modal" vs "popup" to see which gives cleaner structure.
Use active voice. Start with a verb: "Add", "Place", "Make", "Create", "Animate", "Style". It helps guide generation.
Every day, the PH feed is packed with shiny new SaaS tools most of them browser-based, many of them AI-infused. It s exciting, no doubt. But compared to a time not so long ago, something seems missing: local desktop apps.
They re rare now, and it makes me wonder are native apps still worth building, or have they quietly slipped into the realm of nostalgia?
After all, web apps offer clear benefits for both users and makers or investors. Users don t have to install anything, updates are seamless, and their data is accessible from any device with a browser. For investors, the advantages are just as compelling: a single tech stack, easier user onboarding, lock-in effects, and plenty of levers for driving growth and virality.
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