Adding One Feature at a Time

You have an MVP that runs. The temptation right now is to list every feature you want and ask AI to add them all at once. Do not do this. Adding features one at a time is not a beginner shortcut — it is the professional approach. It is how experienced developers stay in control of what they are building.

Why One Feature at a Time Works

When you add one feature and it breaks something, you know exactly what caused the problem: the thing you just added. When you add five features at once and something breaks, you have five possible causes to investigate. Debugging five possibilities takes roughly five times as long. Incremental development — adding one piece at a time — keeps your project in a known state. At any moment you know what works and what you are currently building. That knowledge is worth more than the time you think you save by batching changes.

Here is how Marcus used incremental development on his reading tracker. After his MVP — which just saved entries — he made a list of everything he wanted: - Color the most recent entry in blue - Add a 'delete' button for each entry - Calculate and show the weekly total - Add a streak counter - Make it look good on a phone He resisted adding them all at once. He picked the simplest one — the delete button — and asked AI to add just that. It worked. Then he added the weekly total. It worked. Then the streak counter broke something, so he spent time only on that fix, with no other new changes tangled in. He finished five features in four focused sessions with zero major disasters.

Building a Feature Queue

A feature queue is your ordered list of what to build next. It is not a wishlist — it is a prioritized sequence. Put the most foundational features first (things other features depend on), then the features that users will notice most, then the nice-to-haves. For each item in your queue, write one sentence describing what done looks like for that feature. This is the same 'done means' practice from Lesson 1, applied to each piece. Example queue for Priya's quiz app: 1. Score counter — Done means: final screen shows correct answers out of total. DONE. 2. Wrong-answer highlight — Done means: wrong choice turns red when clicked. 3. Progress indicator — Done means: '3 of 10' shows at the top of each question. 4. Shuffle questions — Done means: question order is different each time. 5. Review screen — Done means: after quiz, user can see which they missed. She works through this list in order. She does not start item 3 until item 2 works.

When AI Adds More Than You Asked For

AI assistants sometimes add extra features you did not request — a button you did not ask for, a layout change you did not want. This is not helpful; it is scope creep delivered by the tool. When this happens: 1. Notice what changed beyond your request. 2. If you do not want the extra changes, tell the AI: 'Please revert to exactly what I had before, and add only the [specific feature] I asked for.' 3. Alternatively, evaluate whether the extra change helps or hurts. If it helps, keep it and log it in your record. If it hurts, remove it. You are in charge of your project. The AI is a tool that works for you — not the other way around.