Should I rewrite my AI-built app, refactor it, or keep building?

A cleaner-looking repository is not the decision criterion

A rewrite can remove confusing code and also destroy behavior you did not realize mattered. A refactor can preserve behavior and also polish the wrong product model. Continuing unchanged can be sensible when the core is sound, or expensive when every new feature deepens an unresolved conflict. The decision starts with the current product promises and implementation evidence. Frustration is a signal to inspect, not proof that the entire application is disposable.

Repair when the cause and boundary are narrow

Choose a bounded repair when one reproducible failure has a clear owner and surrounding behavior remains credible. A drawer that fails to release a scroll lock does not automatically justify replacing authentication, routing, and persistence. Establish the failing sequence, fix the responsible lifecycle, and verify the surrounding interactions. If the agent discovers a wider contradiction, reassess from that evidence instead of quietly expanding the job.

Rebuild a domain when the shell works but its core disagrees with itself

Selective rebuilding fits a product whose usable interface or infrastructure surrounds an untrustworthy model. For example, a planning app might have useful navigation and authentication but three competing definitions of the current plan. Replacing only that domain may preserve working assets while establishing one owner for official state. Whether existing records can be migrated, archived, or reset is a separate decision. Test data and real customer commitments cannot be treated alike.

Consider a full rewrite only with an explicit preservation and cutover plan

A broader rewrite may be justified when the current implementation cannot support the required product boundary at an acceptable repair cost. That conclusion requires inspection, not a confident label. Inventory the behavior, records, integrations, permissions, operational obligations, and migration duties that must survive. Define how the new system is verified and how you can recover from a failed cutover. If no live users or valuable records exist, the reset burden may be lower, but verify that premise.

Use a practical decision sheet

Write one short comparison before committing. A decision sheet forces the agent to make the preservation burden and unknowns visible. It should not pretend to estimate every future cost precisely.

• Working evidence: which complete journeys can you demonstrate?
• Fault boundary: isolated defect, conflicted domain, or pervasive incompatibility?
• Protected assets: customer records, payments, published promises, and integrations.
• Repair option: smallest change that could restore the required journey.
• Replacement option: what would be retained, migrated, or deliberately removed?
• Proof: what result would make either option unacceptable?

Use real recovery evidence without claiming that a package finished the rebuild

DeskSnap's approved case study describes recovering architecture around an existing product, rather than treating all previous work as useless. Read the evidence and outcome limits before using it as an analogy for your own app. Driftbreak can help establish what should survive and how implementation should proceed, but your coding agent or developer still has to prove the repair or replacement in the real environment.

Read the DeskSnap architecture case

Plan the next version of an existing product