Bring evidence
Useful inputs include the failing branch, recent diff, exact command output, runtime versions, reproduction steps, and the last commit where the behavior worked.
Help shaped around your situation
Stop changing code until the failure is reproducible.
When each AI edit moves the defect, the next step is not a better prompt. Establish a known-good state, narrow the failing contract, identify the canonical implementation, and add a test that prevents the old failure from returning.
Get a Free Human First LookWhat is usually at risk
Your next decision should protect the user path that matters.
Launch, leads, customer access, payments, data, and ownership come before cosmetic cleanup.
Choose the right repair layer
A component-level symptom may originate in state ownership, API shape, database policy, caching, or deployment configuration. Fixing the visible line repeatedly will not stabilize the system.
Keep the useful AI workflow
The goal is not to remove AI from development. It is to restore architecture, tests, and review boundaries so AI assistance becomes fast again instead of destructive.
Done for you
Provide the evidence and agreed access. Receive the repair, testing, and handoff.
Collaborative help
Work through the problem live and keep control while the diagnosis is explained.
You do not need to explain it perfectly.
Send the URL and one plain-language symptom.
Get a Free Human First Look