Separate New Features From Fixes

One of the fastest ways to destabilize an AI-generated application is to mix bug fixing, feature development, and UI cleanup in the same prompt.

It feels efficient. It usually is not.

If the system is trying to fix login persistence, redesign the dashboard, and add notifications all at once, it will make more assumptions, rewrite more code, and increase the chance of regressions.

Why This Happens

AI app-building tools often re-evaluate the surrounding system every time they implement a change. When the requested work spans multiple layers, the system may:

• touch more files than necessary

• refactor existing logic unexpectedly

• rewrite working components

• introduce side effects

That is why clean separation matters.

The Better Workflow

Use this order:

1. Stabilize the current issue

2. Validate that the issue is resolved

3. Save the stable state

4. Add the next feature

5. Validate again

That may sound slower. In practice, it is usually much faster.

Real-World Example

For HealthSync, imagine:

• the wearable sync is failing for Fitbit

• the dashboard spacing is off

• you also want to add trend analysis

Do not ask for all three at once.

Better:

• Prompt 1: fix the Fitbit sync issue

• Prompt 2: correct the dashboard layout spacing

• Prompt 3: add trend analysis once sync and UI are stable

For SupportIQ, do not mix:

• ticket routing bug

• redesigned triage UI

• Gmail integration

That is how you get broken workflows and zero trust in the output.

Callout

Fixes protect stability. Features expand scope. Treat them differently.

Tips and Tricks

• Use bug prompts that are specific and narrow

• Mention the exact failing behavior, not “it’s broken”

• Confirm a fix before adding anything new

• If a UI issue and a logic issue are related, still solve them in order

• Save rollback points before larger feature work

Good Example Prompt

“There is a bug where newly created tasks disappear after refresh. Fix only the persistence issue. Do not change the layout or add any new features.”

That instruction protects the system from drifting.

Gotchas

• Adding “while you’re in there…” requests

• Treating small UI tweaks as harmless during core logic work

• Making assumptions that a bug is fixed without testing

• Letting the AI redesign structure during a small patch

Real-World Application Example

For SalesAgentX, if outbound email generation is working but meeting booking is failing, fix booking first. Do not ask for a new campaign dashboard in the same pass. Stable pipelines beat wider feature sets every time.

Next Step

Sometimes you should not be building at all. Sometimes you should be thinking. That is where planning mode comes in.