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Technical debt assessment

Measure the cost and risk of a codebase before it becomes a roadmap surprise.

Direct answer

A technical debt assessment evaluates how much hidden engineering drag exists in a repository, where it sits, how risky it is, and what work should be prioritized to reduce outages, slowdown, and rewrite pressure.

What problems it helps solve

A strong assessment makes technical debt visible in places teams usually miss: maintainability drift, security exposure, brittle architecture, outdated dependencies, and modules that absorb most incident or change risk.

What decision-makers need from the output

Leaders need more than a list of warnings. They need a ranked backlog, impact framing, and evidence for why specific debt items affect roadmap speed, incident frequency, or modernization cost.

How LegacyCode MRI positions this work

LegacyCode MRI frames technical debt as a repository health problem. Instead of treating every issue equally, it prioritizes the work that is most likely to reduce fragility and accelerate future delivery.

Frequently asked questions

Is technical debt assessment the same as a code audit?
They overlap, but a technical debt assessment focuses more explicitly on maintainability cost, delivery slowdown, and modernization pressure over time.
What input is needed for a technical debt assessment?
Repository access is the primary input. The assessment can then inspect files, dependency graphs, complexity, churn, and security findings across the codebase.
Can technical debt be measured automatically?
Partly. Automated analysis is very good at surfacing hotspots and risk patterns, but teams still need judgment when estimating remediation effort and business context.

Explore related topics

What is legacy code?Legacy code analysisCodebase auditAI code review

Related product paths

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