Codebase Exploration with AI

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Welcome to Module 2! We are going to use AI to explore a legacy iOS codebase before trying to change it.

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Explore BabyTrack. Map its entry points, screens, data flow, dependencies, and tests, then identify its most important potential technical debt. Cite files and clearly label anything uncertain.

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Recheck your findings against the source. Remove unsupported claims, separate actual debt from age or style preferences, and prioritize verified issues as address now, plan later, or monitor. Explain the tradeoffs briefly.

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Create the complete Markdown for `codebase-assessment.md` from the verified findings and my corrections. Include the codebase map, prioritized debt, rejected or unverified claims, open questions, and next investigation. Cite the source, do not propose implementation work, and return only the Markdown file.

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