Diagnosis
Review usage scenarios, errors, code, data, and core workflows.
An existing system does not always need a full rebuild. Often the better move is to diagnose, stabilize, fix the painful parts, and add only what creates immediate business value.
The first step is understanding what actually blocks use: repeated errors, unclear screens, unreliable data, missing permissions, slow performance, or a workflow that no longer matches the business.
Without diagnosis, it is easy to invest in features that do not solve the real problem. Separate fixes that restore trust from improvements that add new capability.
Start with diagnosis, stabilize meaningful failures, add tests for critical scenarios, and then improve UX or add features. If AI is planned, it is better to add it after the base system is stable.
In AI or agent-based systems, tracing, logs, and guardrails help understand what happened in each action and identify mistakes faster.
Itay Karkason enters an existing system, maps issues by business impact, and fixes the items that restore trust and daily use first. Once the system is more stable, AI, automations, new screens, or integrations can be added.
Review usage scenarios, errors, code, data, and core workflows.
Fix issues that block daily use or damage trust.
Screens, forms, messages, mobile, and workflow flow.
Add features only after the base works and can be tested.
Only if it cannot be maintained or the required change is too deep. In many cases focused improvement is better.
It depends on code and data quality, but a short diagnosis can usually produce a clear repair list.
This page was built as a short reference guide based on NotebookLM research and professional sources. Key sources:
Start with a short diagnosis and decide what to fix first.
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