Codebase evaluation: maintenance cost and AI readiness

Every company that owns software carries two questions: what makes this codebase expensive to own, and is it ready for what comes next?

Within a week I evaluate your source code, all of it that matters, and answer both. You get a written report with the red flags located precisely in your code, a prioritized action list from quick wins to structural improvements, and a clear strategy for your legacy code: what to keep, what to refactor, what to replace, and in what order. You also get a concrete assessment of how ready your architecture is for AI integration, and what to change so it becomes ready.

What you get

• A written report identifying where the challenges sit in the codebase, with red flags located concretely in the code (module and file specific, never generic).
• A concrete list of actions your team can execute, ordered from quick wins to larger improvements, each tagged with what it improves: maintainability, AI readiness, or both.
• A clear picture of what drives your maintenance cost, and a legacy-code strategy: what to keep, refactor, or replace, and in what order.
• AI-readiness advice for the architecture: how to prepare the software for AI integration going forward.
• Security and data observations flagged along the way, each with a follow-up recommendation.

Out of scope

Penetration testing, formal security audits, and license audits are not part of the evaluation. Issues in those areas are flagged and routed to specialists. This boundary is what makes the fixed price possible.

Pricing (introductory)

Both are introductory launch prices. You know the cost before we start. Your team can execute every action in the report themselves; if you want help with some of them, that is a separate conversation afterwards.

How it works

1. Free scoping call: confirm system size and access practicalities.
2. Expert evaluation of the source, usually within a week.
3. The report, delivered and walked through.