Get a reliable picture of the system
Start with access and ownership: source code, deployment accounts, domain settings, data stores and third-party services. Identify who can deploy, restore a backup and respond to an incident. Keep credentials out of project documents and chat messages.
Map the application’s main workflows and integrations. Ask the people using it which failures matter most and which manual workarounds have become routine. The written specification may no longer describe how the business actually operates.
Separate risks from inconveniences
Review unsupported dependencies, access controls, handling of sensitive data and backup restoration. Then look at release reliability, error visibility and automated coverage of important journeys. Cosmetic inconsistencies should not displace an urgent data-integrity issue.
Record findings with evidence, business impact and a recommended action. Distinguish confirmed defects from areas that need further investigation. An unfamiliar framework is not, on its own, a reason to replace a working system.
Choose a path that preserves continuity
Consider targeted repairs, phased replacement and a full rebuild against the same criteria: operating risk, cost, time and future maintenance. A phased approach may allow useful improvements while existing workflows continue.
Before committing, define data migration checks, a rollback plan and acceptance criteria. Make the handover a deliverable: architecture notes, deployment instructions and clear operating ownership reduce the chance of repeating the same problem later.